Results
provide a foundation for the future development of mechanism-based CYP124 inhibitors as
therapeutics against multidrug-resistant tuberculosis.
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1. INTRODUCTION
Tuberculosis (TB), an infection caused by Mycobacterium tuberculosis (Mtb), currently represents
one of the pressing problems in medicine. According to WHO data in 2023, 10.8 million new cases
of TB were registered, while 1.25 million people died from this infection. Thus, tuberculosis has
become the leading infectious cause of mortality. Furthermore, the prescription of adequate drug
therapy remains a major challenge. Therapy for multidrug-resistant TB (MDR-TB) presents
particular complexity. According to WHO data, only about 40% of patients with drug-resistant
tuberculosis received treatment in 2023[1]. Consequently, the search for potential therapeutic agents
active against Mtb represents a highly relevant biomedical task. Simultaneously, the search for new
Mtb target proteins for pharmacological intervention is pertinent [2,3].
Mtb cytochrome P450s (enzymes of the heme-thiolate monooxygenase superfamily) are promising
targets for TB therapy[4,5]. Classical inhibitors of these enzymes are compounds of the azole class
[6], for which antibacterial activity, including against multidrug-resistant strains of Mtb, has been
demonstrated[7,8]. Concurrently, promising non-azole inhibitors of Mtb cytochrome P450s are
being investigated[5,9–14]. Since Mtb possesses multiple cytochrome P450s, they are ranked
according to their suitability as drug targets. According to Ortiz de Montellano [4], CYP121,
CYP125, and CYP142 are potential drug targets; however, the author emphasises that CYP124 is
not a clear target for the development of anti-tuberculosis drugs[4] due to the lack of sufficient data.
Hudson et al.[5] declared CYP121, CYP125, and CYP128 as the most attractive anti-TB targets,
while CYP124 and CYP142 were mentioned as secondary targets. Ortega Ugalde [15] declared
CYP121A1, CYP125A1, CYP139A1, CYP142A1, and CYP143A1 as anti-TB targets. It is known
that Mtb possesses a powerful sterol catabolism system crucial for its virulence[16]. This system,
which includes the sterol-oxidising CYP124, is currently considered a promising target for
pharmacological intervention[17,18]. The key hypothesis is that CYP124, participating in ensuring
Mtb virulence (although not being vitally essential in vitro), plays an important role in the
interaction of the pathogen with host biochemistry[19]. Specifically, the enzyme catalyses
ω -
hydroxylation of methyl-branched lipids (e.g., phytanic acid), which can modulate the immune
response or bacterial cell wall formation in vivo[20], and also transforms human immunomodulatory
sterols[21–23]. Thus, despite the controversial status of CYP124 as a primary target, its role in the
metabolism of host immunoregulatory sterols makes the enzyme a promising target for suppressing
Mtb virulence.
Based on this hypothesis, the search for new potential ligands for the CYP124 active site represents
a promising direction. Within this task, two complementary approaches can be distinguished:
screening natural compounds as a traditional source of therapeutic agents and searching for new
potential ligands for the CYP124 active site among human endogenous metabolites, based on its
physiological function. The latter can be implemented using computational screening methods,
including analysis of chemical similarity to known substrates and ligands.
Natural compounds and their analogues have historically served as the basis for therapeutic agents
[24], a resource documented in numerous dedicated databases[25,26]. Plants are the most popular
source of natural compounds[27]. One well-studied example is Maackia amurensis, considered by
many authors as a source of potential therapeutic compounds[28–30]. In the work of Noviany Hasan
et al., the inhibitory effect on Mtb of medicarpin[31], an isoflavonoid from some plants, including
M. amurensis[32], was studied. Marine animals and plants also attract significant interest as sources
of compounds possessing diverse biological activity. For example, compounds isolated from
seagrass of the speciesZostera marina, exhibit a wide spectrum of activities, including antioxidant,
antifungal, and antiviral[33], and extracts of its microbiome have potential for the search for new
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antibiotics[34]. In addition to marine plants, representatives of the world ocean fauna are currently
considered as promising sources of natural compounds, for example, representatives of the phylum
Echinodermata[35–39]. In general, compounds isolated from Echinodermata can be considered as
potential agents against Mtb[40]. Thus, some holothurins and saponins isolated from sea cucumbers
have shown activity against Mtb, including against drug-resistant strains [41–44]. Besides
Echinodermata, compounds isolated from representatives of the phylum Porifera (marine sponges)
also attract the interest of researchers working on the tuberculosis problem. Thus, it has been shown
that alkaloids isolated from marine sponges can suppress Mtb growth[45].
To search for new non-azole inhibitors of CYP124 among natural compounds, we used standard
P450 ligand screening methods (SPR analysis[46,47] and spectrophotometric titration [48,49]).
Screening a library of 32 plant and marine compounds identified 9 new ligands for the active site of
Mtb CYP124. In silico models of complexes were obtained for a number of them. Analysis of
structurally similar (>0.4 Tanimoto) human endogenous metabolites from the KEGG database
identified a group of 37 compounds, including immunoregulatory sterols and their precursors, some
of which are already known as CYP124 ligands. The new CYP124 ligands we found may represent
promising core structures for the development of compounds with higher affinity for CYP124.
Further biochemical analysis in a reconstituted Mtb CYP124 system confirmed that some of the
found compounds are new natural non-azole inhibitors of the enzyme. Among them, 25S)-5
α -
cholestane-3β ,4β ,6α ,7α ,8,15β ,16β ,26-octaol (15β -octaol) and henricioside Н 2 (HD-4) acted as
inhibitors forming long-lived complexes (τ 1/2 of the CYP124/inhibitor complexes was 181 and 65
min, respectively). The obtained results expand knowledge about the structures of potential ligands
and inhibitors of the pharmacologically significant Mtb cytochrome P450, representing a new
potential target for tuberculosis pharmacotherapy.
2. MATERIALS AND METHODS
2.1 Reagents
HBS-N buffer (10 mM HEPES, 150 mM NaCl, pH 7.4), 10 mM sodium acetate buffers (pH 4.5, 5.0,
and 5.5), a reagent kit for the covalent immobilisation of proteins via primary amino groups (1-
ethyl-3-(3-dimethylaminopropyl)-carbodiimide-HCl (EDC), and N-hydroxysuccinimide (NHS))
were obtained from Cytiva (Marlborough, MA, USA).
5-cholesten-3
β -ol-7-one was obtained from Steraloids Inc. (Newport, R.I., USA), NADPH – from
Glentham Life Science (UK), isocitrate dehydrogenase – from Sigma Life Science (Oakville, ON,
Canada), D-glucose-6-phosphate – from AppliChem GmbH (Darmstadt, Germany).
The remaining reagents were obtained from local suppliers.
2.2 Equipment
Protein–ligand interaction analysis was performed using SPR biosensors Biacore 8K and X100
(Cytiva, Marlborough, MA, USA). Refractive indexes of running buffers and experimental samples
were matched with a refractometer RX-5000 (Atago, Saitama, Japan). Spectrophotometric titration
was performed using a Cary 5000 UV–Vis NIR dual-beam spectrophotometer (Agilent
Technologies, Santa Clara, CA). The HPLC-MS experiments were carried out with an Agilent
HPLC 1200 instrument equipped with an Agilent Triple Quad 6410 mass spectrometer (Agilent
Technologies, Santa Clara, CA, USA).
2.3 Cloning, Expression, and Purification of Proteins
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Highly purified (>95% according to SDS-PAGE) preparations of recombinant proteins (CYP124,
RubB, Arh1G18A) were carried out at the Institute of Bioorganic Chemistry of the National
Academy of Sciences of Belarus using molecular cloning and heterologous expression in a bacterial
system (E. coli) followed by metal affinity and ion exchange chromatography for protein
purification. The plasmid for expression of S. pombe ferredoxin reductase Arh1 (mutant A18G) was
kindly provided by Prof. Rita Bernhardt (Saarland University, Saarbrucken, Germany). The proteins
(CYP124[22], RubB[50], Arh1G18A[51]) were cloned, expressed and purified as described
previously.
2.4 Obtaining of Investigated Compounds
The studied compounds were isolated or obtained by chemical modifications at the G.B. Elyakov
Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of the Russian Academy of Sciences,
similar to protocols published earlier [52–64]. The polar steroidal compounds (24S)-5
α -cholestane-
3β ,4β ,6β ,8,15β ,24-hexaol (HD-3) and henricioside Н 2 (HD-4) were isolated from the Far Eastern
starfish Henricia derjugini[52]; spiculiferosides A–C were obtained from the Far Eastern starfish
Henricia leviuscula spiculifera[53]; (24E)-5α -cholest-24-ene-3β ,4β ,6α ,8,14,15α ,26-heptaol 15-O-
sulfate (А 10) was isolated from the Vietnamese starfish Archaster typicus[54]; asterone (Agl1) was
obtained by hydrolysis of the asterosaponin fraction of the Far Eastern starfish Lethasterias
nanimensis chelifera[55]; (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15β ,16β ,26-octaol (15β -octaol) was
isolated from the Far Eastern starfish Patiria pectinifera as described in[56]; (25S)-5α -cholestane-
3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol 3-О -sulfate (3-OSO3-octaol) and (25S)-5α -cholestane-
3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol 3,26-О -disulfate (3,26-di-OSO3-octaol) were obtained by sulfation
of (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol (15α -octaol) isolated from the starfish P.
pectinifera as described in[56]. The triterpene glycoside hemioedemoside A was isolated from the
sea cucumber Colochirus robustus[57]. The isomalabaricane triterpenoids stellettins Q and R,
andnor-isomalabaricanes jaspolide F, and globostelletin G were obtained from the Vietnamese
marine sponge Rhabdastrella globostellata as described in[58,59]. The sponge was assigned to the
genus Stelletta and then re-identified and reported as R. globostellata species[65]. The
bibenzochromenone phanogracilin A (570-2) was isolated from the crinoid Phanogenia gracilis
collected in the South China Sea[60]. The quinoid pigments echinochrome A, echinamine A, and
echinamine B were isolated from the sea urchin Scaphechinus mirabilis[61], and spinochromes B, D
and E were isolated from the sea urchin Mesocentrotus nudus[62]. The polyphenolic compounds
retusin, maackiain, tectorigenin, liquiritigenin, medicarpin, formononetin, piceatannol, maackin, and
(±)-3-hydroxyvestitone were isolated from Maackia amurensis as described in[63]. Luteolin 7,3
′ -
disulfate was obtained from sea plants of the Zosteraceae family as described in[64].
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Figure 1. Structures of natural compounds. Asterone from the Far Eastern starfish Lethasterias
nanimensis chelifera (Agl1) (1); (24S)-5α -cholestane-3β ,4β ,6β ,8,15β ,24-hexaol (HD-3) (2) and
Henricioside Н 2 (HD-4) (3) from the Far Eastern starfish Henricia derjugini; Spiculiferosides A
B (5) and C (6) from the Far Eastern starfish Henricia leviuscula spiculifera; (24E)-5α -cholest
ene-3β ,4β ,6α ,8,14,15α ,26-heptaol 15-O-sulfate (А 10) from the Vietnamese starfish Archaster
typicus (7); (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15β ,16β ,26-octaol (15β -octaol) from the Far Ea
starfish Patiria pectinifera (8); (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol 3-О -sulfa
OSO/i6 -octaol) (9) and (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol 3,26-О -disulfate
di-OSO/i6 -octaol) (10) obtained by sulfation of (25S)-5α -cholestane-3β ,4β ,6α ,7α ,8,15α ,16β ,26
octaol (15α -octaol) from the starfish Patiria pectinifera; Globostelletin G (11), Jaspolide F (12
Stellettins Q (13) and R (14) from marine sponge Rhabdastrella globostellata; Echinochrome A
(15), Echinamines A (16) and B (17) from the sea urchin Scaphechinus mirabilis; Spinochrome
(18), D (19) and E (20) from the sea urchin Mesocentrotus nudus; Phanogracilin A (570-2) from
crinoid Phanogenia gracilis (21); Hemioedemoside A from the sea cucumber Colochirus
robustus (22); Luteolin 7,3′ -disulfate from the sea plant of Zosteraceae genus (23); Retusin (24
ias
and
s A (4),
st-24-
er
Eastern
lfate (3-
te (3,26-
26-
12) and
e A
mes B
rom the
24),
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Maackiain (25), Tectorigenin (26), Liquiritigenin (27), Medicarpin (28), Formononetin (29),
Piceatannol (30), Maackin (31) and (±)-3-hydroxyvestitone (32) from the Far Eastern endemic
plant Maackia amurensis.
Detailed protocols for compound isolation and purification are provided in the Supplementary
Material
(Section 1).
2.5 SPR Analysis
Real-time measurements of CYP124-ligand interactions were performed at 25 °C using CM5 optical
chips coated with carboxymethyl dextran (CM-dextran). Sensorgrams were recorded as the change
in the biosensor signal in resonance units (RUs) per unit of time (s). CYP124 was covalently
immobilised onto the CM5 chip via amino groups. The carboxyl groups of CM-dextran were
activated using a 1:1 v/v mixture of 0.4 M EDC and 0.1 M NHS for 7 min at a flow rate of 5
µL/min. CYP124 (20
μ g/mL) in the 10 mM sodium acetate buffer (pH 5.0) was injected for 5 min at
a flow rate of 5 μ L/min. Next, the chip surface was washed with HBS-N buffer for 60 min. During
interaction recording, a chip cell without immobilised CYP124 was used as the reference channel.
To screen the ability of natural compounds to bind to CYP124, analytes (50 μ M) were injected over
the surface of the chip with immobilised CYP124 for 10 minutes at a flow rate of 10 μ L/min.
Complex dissociation was recorded for 5 min at the same flow rate. Chip surface regeneration after
each compound injection was performed by double injection of regenerating solution (2M NaCl,
0.5% CHAPS) for 20 s at a flow rate of 30 μ L/min. Analysis was performed at 25°C. The resultant
binding signal of the test compound with the target protein was recorded 5 minutes after the start of
the dissociation phase of the formed protein-compound complex. The screening pass criterion was a
registered signal amplitude >10 RU. Subsequently, visual analysis of the obtained sensorgrams was
performed to prioritise the identified hit compounds.
To evaluate the half-life values of hit compound complexes with CYP124 (τ 1/2), compound solutions
(10-100 μ M) were injected in “Multi-cycle” mode for further calculation of the equilibrium
dissociation rate constant (koff). The injection time for each concentration was 210 s, the dissociation
recording time after the end of the series of injections of the low molecular weight compound was
15 min, and the flow rate was 15 μ L/min. The compounds’ stock solutions were prepared as 10 mM
stock solutions in 100% dimethyl sulfoxide (DMSO). Experimental samples of compounds were
prepared in HBS-N buffer at a concentration range of 10–100
μ M and 1% DMSO. The same amount
of solvent was added to the HBS-N running buffer to minimise bulk effects introduced by the
difference between the refractive indexes of the running buffer and the experimental samples. If
needed, the solvent concentration in the running buffer was corrected according to the equation:
/g1829 /g4666 /g1830/g1839/g1845/g1841 /g4667 /g3045/g3048/g3041/g3041/g3036/g3041/g3034 /g3029/g3048/g3033/g3033/g3032/g3045 /g3404/g1829 /g4666 /g1830/g1839/g1845/g1841 /g4667 /g3046/g3028/g3040/g3043/g3039/g3032 /g3400 /g2015 /g2869 /g3398 /g2015 /g2870
/g2015 /g2871 /g3398 /g2015 /g2870
where C(DMSO)running buffer – DMSO final concentration in running buffer, C(DMSO)sample – DMSO
concentration in experimental sample, η 1– analysed sample refractive index, η 2 – HBS-N buffer
refractive index, η 3 – HBS-N buffer containing the DMSO of the same concentration as
experimental sample refractive index.
SPR sensorgrams were processed with Biacore X100 Evaluation Software Version 2.0.1 Plus
Package (Cytiva, USA) and Biacore Insight Evaluation Software version 3.0.11.15423 (Cytiva,
USA) using “1:1 dissociation”. The obtained koff values were converted to τ 1/2 using the formula:
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/g2028 /g2869//g2870 /g3404 /g1864/g18662
/g1863 /g3042/g3033/g3033
2.6 Ligand Binding Assay
Binding of ligands with the active site of CYP124 was carried out by spectrophotometric titration in
1 cm quartz cuvettes. Stock solutions of the ligands were prepared at a concentration of 10 mM in
DMSO. The titration was repeated at least three times and ligand-binding constants (Kdapp values)
were calculated using the equation as described previously as well as using the Hill equation [22].
2.7 Catalytic Activity Assays
Catalytic activity of CYP124 was reconstructed as described previously [23]. For evaluation of
compounds’ inhibitory potentials, proteins (CYP124, Arh1G18A S. pombe and RubB M.
tuberculosis) were preincubated with the substrate 7-keto-cholesterol and compounds were added at
concentrations ranging from 10 to 100 µM.
2.8 Bioinformatics
2.8.1 Prediction of Biological Activity Spectra
The web service PassOnline[66] was used to predict the spectra of biological activity for the
investigated compounds (which showed the ability to inhibit CYP124 in vitro). SDF files with the
structures of the hit compounds were used as input data for PassOnline. The outgoing information in
text format was further analysed to identify the most significant possible effects to exclude potential
toxicity.
2.8.2 Search for Structures Similar to the Investigated Compounds Among Classical Human
Endogenous Metabolites
The following algorithm was used to search among classical human endogenous metabolites for
compounds that have similarity to the lead compounds from our dataset. First, a list of compounds
from the KEGG database[67] exhibiting a Tanimoto similarity coefficient >0.4 to our target
compounds (as of 30.05.25) was obtained. This cut-off is based on the fact that a Tanimoto
coefficient value >0.4 is the minimum significant indicator of similarity for two low molecular
weight compounds[68]. The obtained lists of compounds were analysed to exclude phytosterols and
polyketides present in the human body as products of metabolism of dietary compounds. Modulators
of the gut microbiota (e.g., bile acids) were also excluded.
2.8.3 Modelling of Complexes
2.8.3.1. Molecular Docking
Docking of compounds showing in vitro ability to inhibit the investigated cytochrome into the
CYP124 active site was performed in the Flare 10.0.1 program (Cresset Group, UK). Files of 3D
structures of CYP124 in various conformations were taken from the PDB site: 6T0G (complex with
vitamin D3), 6T0F (complex with cholest-4-en-3-one), 6T0K (complex with carbethoxyhexyl
imidazole). These crystal structures were described in detail in the works of Varaksa et al.[23]and
Bukhdruker et al.[69]. For all structures, extraction of the ligand and other small molecules was
performed, followed by energy minimisation. Structures of the investigated compounds were built
based on data from the corresponding compound SDF files. Ligand docking was performed in
“Normal” mode, calculation mode “Very accurate but slow”, without using a ligand template.
Binding site search was conducted within the CYP124 active site cavity, including the substrate
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access channel and heme. Selection of ligand-protein binding poses was performed according to the
following criteria: 1) the distance from the heme Fe to the nearest non-hydrogen atom of the ligand
was no more than 4 Å (the value was taken considering that in the crystal structures used for
docking, CYP124 ligands were at distances of 3.99 (6T0F), 4.00 (6T0G), and 2.1 (6T0K) Å); 2) the
orientation of the ligand in the active site cavity did not cause steric conflicts.
2.8.3.2. Molecular Dynamics
For molecular dynamic (MD) investigation of CYP124 interactions with HD-4 and 15
β -octaol,
molecular docking was performed using Molecular Operating Environment CCG version 2020.09
(MOE) (Montreal, Canada). The crystal structure of M. tuberculosis strain Rv2266 monooxygenase
CYP124 complexed with cholest-4-en-3-one (PDB ID 6TOF) served as the receptor [23]. Ligands
were prepared via MOE protonation modules. Flexible docking with “induced-fit” protocol ranked
ligand poses, followed by force field refinement of the top 100 poses, GBVI/WSA dG rescoring,
and detailed analysis of the best-ranked pose after solvation and energy minimisation.
Ligands under investigation were ranked by blind flexible docking with the “induced fit” protocol.
Prior to docking, the force field of AMBER10:EHT and the implicit solvation model of the Reaction
Field (R-field) were selected. Optimisation of both the protein’s protonation status and hydrogen
bonding arrangements were carried out employing the Structure Preparation module at biologically
relevant conditions—specifically, pH 7.4 and a temperature set at 300 Kelvin. During the flexible
docking phase, initial ligand configurations were first prioritised based on their respective London
dG energy values. This preliminary sorting was succeeded by detailed refinements involving the
most promising 100 docked structures, which were subjected to additional fine-tuning using MD-
based optimisation. These optimised structures were subsequently rescored with greater precision
using the GBVI/WSA dG methodology. Ultimately, the single configuration achieving the highest
rank in these assessments was preserved for subsequent analyses.To ensure the HD-4 and 15
β -octaol
best docking poses near CYP124 may be close to realistic ones (or stable) they were underwent to
short-term MD simulations. The started system, solvated with about 19598 water molecules in 0.1M
NaCl (18-19Na+ and 2-4 Cl– depending on system). All-atomic MD simulations of 20 ns-long was
carried out at constant pressure (1 atm) and temperature (300 K) with a time step of 2 fs. All-atomic
force field Amber 10:EHT was used for proteins[70]; for water, TIP3P was used[71]. Solvent
molecules were treated as rigid. All MD simulations including heating, equilibration as well as
energy minimization steps were performed with MOE2019.01 CCG software package using cluster
CCU “Far Eastern computing resource” FEB RAS (Vladivostok).
Th e an alysi s of th e n onc oval ent
inte rm ole cula r inte ra ct ion c ontr ib u ti ons t o th e fr ee ene rgy wa s pe rfo r med by us ing th e IF-E
6.0 SVL scr ipt t ool [72], wh ich ena bl es cal cula ti on of th e inte ra ct ion ene rgy on a pe r-re sidu e
bas is ( me asur ed in k cal/ mol ). N ega tiv e energ y valu es refle ct fav o rabl e inte ra ct ions b et we en
the l igand and tar get m ole cul e, whe rea s p osi ti ve val ues c or re spond to e nerge ti cally
unfavo ra ble c onfigur at ion s. Thi s co mput ati onal t ool ha s b een su cc essf ully appli ed to int erp re t
the l igand-r e cept o r b inding spe cifi c ity in the a ct iv e s it e of v ar iou s aden osin e r e cept o r t ypes
[73–75].
3. RESULTS
The pathway of the work presented at Figure 2. A comprehensive approach to search for prototypes
of potential CYP124 inhibitors was used and SPR screening, spectral titration, biochemical testing
of the ability to inhibit CYP124 activity, as well as investigation of the “CYP124/inhibitor” complex
half-life and IC50 andin silico modelling.
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Figure 2. The pathway of the work presented. The number of compounds used in the given stage of
analysis presented in circles.
3.1 Screening of the Ligand Sample for Binding Ability to CYP124
To select ligands from the investigated sample consisting of 32 natural compounds, screening was
performed on an SPR biosensor. This method assesses the compound’s ability to bind to the
CYP124 molecule. To evaluate the interaction of compounds with the CYP124 active site, spectral
titration was performed. Results are presented in Table 1. 4 compounds failed the SPR screening.
For all compounds showing a positive result in spectral titration, a Type I (maximum absorption at
wavelengths of 385–390 nm and minimum absorption at 420 nm)[76]spectral response was
characteristic (spectra are provided in Supplementary, Table S1). Among the compounds that
passed SPR screening, a spectral response allowing reliable calculation of Kd was registered for
9.These 9 compounds were subsequently selected for testing inhibition of CYP124 enzymatic
activity in vitro. For the remaining compounds, which were characterized by a weak spectral
response or its absence, accurate determination of the Kd value was not feasible.
3.2 In Vitro Test for Inhibition of CYP124 Enzymatic Activity
An in vitro assay of the CYP124-catalysed oxidation reaction of 7-keto-cholesterol in the presence
of the 9 priority compounds selected at the screening stage, at a concentration of 50
μ M of the test
compound, was performed (Table 1). The reference inhibitor compound N′ -hydroxy-N-(4-
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isopentyl-2-methylphenyl)formimidamide (cpd5’) was used. The action of cpd5’ as a CYP124
inhibitor was previously demonstrated in the work of Tatsiana Varaksa et al. [23]. At a cpd5’
concentration of 50 μ M, 80% inhibition of CYP124 activity was achieved.
For compounds showing CYP124 inhibition >30%, IC50 was determined by titration in the
concentration range 10–100 μ M). It was found that for 15β -octaol IC50 ≈ 86 μ M. For HD-4, IC50
>100 μ M can only be stated. Cpd5’ showed an IC50 value <10 μ M in this experiment.
Table 1. Interaction of natural compounds with CYP124.
№ Compound
SPR-
screening
Spectral titration
/ Kd spectral for
++ (uM)
CYP124
inhibition, %
starfish Lethasterias nanimensis chelifera,
hydrolysis
1 Asterone (Agl) + + n.d.
starfish Henricia derjugini
2 (24 S)-5α -Cholestane-3β ,4β ,6β ,8,15β ,24-
hexaol (HD-3)
+ + n.d.
3 Henricioside Н 2 (HD-4) + ++ / 4.06 (type I) 31
starfish Henricia leviuscula spiculifera
4 Spiculiferoside A + + n.d.
5 Spiculiferoside B + ++ / 4.08 (type I) 5
6 Spiculiferoside C + ++ / 7.61 (type I) <1
starfish Archaster typicus
7 (24 E)-5α -Cholest-24-ene-
3β ,4β ,6α ,8,14,15α ,26-heptaol 15-O-sulfate
(A10)
+ + n.d.
starfish Patiria pectinifera
8 (25 S)-5α -Cholestane-
3β ,4β ,6α ,7α ,8,15β ,16β ,26-octaol (15β -
octaol)
+ ++ / 10.37 (type I) 38
starfish Patiria pectinifera, sulfation
9 (25 S)-5α -Cholestane-
3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol-3-О -
sulfate (3-OSO3-octaol)
+ ++ / 15.62 (type I) 23
10 (25S)-5α -Cholestane-
3β ,4β ,6α ,7α ,8,15α ,16β ,26-octaol-3,26-О -
disulfate (3,26-di-OSO3-octaol)
+ ++ / 20.22 (type I) 22
marine sponge Rhabdastrella globostellata
11 Globostelletin G + - n.d.
12 Jaspolide F + - n.d.
13 Stellettin Q + ++ / 8.25 (type I) 2
14 Stellettin R + - n.d.
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№ Compound
SPR-
screening
Spectral titration
/ Kd spectral for
++ (uM)
CYP124
inhibition, %
sea urchin Scaphechinus mirabilis
15 Echinochrome A + - n.d.
16 Echinamine A + - n.d.
17 Echinamine B + - n.d.
sea urchin Mesocentrotus nudus
18 Spinochrome B + - n.d.
19 Spinochrome D + - n.d.
20 Spinochrome E + - n.d.
crinoid Phanogenia gracilis
21 Phanogracilin A (570-2) + - n.d.
sea cucumber Colochirus robustus
22 Hemioedemoside A - - n.d.
sea plant of Zosteraceaefamily
23 Luteolin 7,3′ -disulfate + - n.d.
Far Eastern endemic plant Maackia
amurensis
24 Retusin + - n.d.
25 Maackiain + ++ / 140.90 (type
I)
14
26 Tektorigenin - - n.d.
27 Liquiritigenin + - n.d.
28 Medicarpin + ++ / 22.55 (type I) 17
29 Formononetin - - n.d.
30 Piceatannol + - n.d.
31 Maackin + - n.d.
32 (±)-3-hydroxyvestitone - - n.d.
SPR Screening: Binding was considered positive (+) if the response exceeded 15 RU after compound injection; a lack of
binding is denoted as (–). Spectral Titration: Interactions were classified as: (++) strong binding with a characteristic
spectral response and a reliably determined Kd value; (+) weak binding with an unreliable Kd estimation; (±) interaction
with the heme iron (confirmed by a Soret band shift to 417–420 nm) in the absence of a characteristic spectral signature;
(–) no spectral response. CYP124 Inhibition Test: The percentage of enzymatic inhibition was measured at a 50 µM
compound concentration. "n.d." indicates that the inhibition was not determined for that compound.
3.3 Evaluation of CYP124-Ligand Complex Half-Life Times
Using the SPR biosensor, koff values for complexes of HD-4 and 15β -octaol with CYP124 were
evaluated, allowing calculation of τ 1/2. It was established that the τ 1/2 values for complexes of
CYP124 with 15β -octaol and HD-4 were 181 and 65 minutes, respectively. The sensorgrams of
CYP124-compounds interactions are shown in Supplementary (Figures S1-2).
3.4. Prediction of Biological Activity Spectra for Hit Compounds
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The natural molecules we studied can be considered as scaffolds for creating higher affinity and
stronger inhibitors of CYP124. Accordingly, the question of whether the compounds we
investigated have effects on the human body that may be associated with potential toxicity is
relevant. As a result, the spectrum of potential pharmacological effects was predicted for the 9
compounds that gave the most characteristic spectral response (Table 1), presented in Table S2
(only effects for which Pa (probability “to be active”) >0.7 were considered). Among the predicted
effects, the 10 most potentially dangerous can be distinguished: immunosuppressive activity,
antineoplastic activity (possible cytotoxicity), JAK2 expression inhibitor (possible pancytopenia),
glyceryl-ether monooxygenase inhibitor (possible demyelination, retinopathies), 17
β -HSD3
inhibitors (possible virilisation, osteoporosis), prostaglandin-E2 reductase inhibitors (possible
gastrointestinal ulcers), sterol Δ 14-reductase inhibitors (adrenal insufficiency, teratogenicity),
testosterone 17β -dehydrogenase inhibitor (testosterone synthesis disorders), bilirubin oxidase
inhibitors (jaundice, hepatitis), caspase 3 stimulant (neurotoxicity, hepatotoxicity, cardiotoxicity).
3.5 Search for Classical Endogenous Metabolites Similar to the Investigated Natural Compounds
The obtained list of 37 human endogenous classical metabolites exhibiting similarity to the lead
compounds in our dataset was additionally filtered by the criteria “involvement in immunity or
MTb-induced infectious process” or “presence of aliphatic chain at C17”. The first criterion was
chosen based on considerations of Mtb’s influence on the course of human defence reactions
through the metabolism of some steroids[23]. The second criterion, the presence of an aliphatic
chain at the C17 atom of the steroid nucleus, is due to the fact that CYP124 tightly binds and
hydroxylates these substrates at the chemically disfavoured
ω -position[20].
As a result, a group of 37 compounds was formed (Table 2). These 37 compounds were divided into
three groups: 1) those having a direct relationship to the regulation of immune processes; 2) those
not directly related to immune reactions but possessing an aliphatic carbon chain at the C17
position; 3) compounds with questionable relationship with CYP124 due to the absence of the
aliphatic chain at C17.
Table 2. Lists of endogenous primary metabolites in humans exhibiting structural similarity
(Tanimoto score >0.4) to the lead compounds in our dataset.
Compound
KEGG
ID C17 Alkyl
1
Immunity/MTb
Link
2
CYP124
Ligand
3
Compounds with established role in immunity
7-Dehydrocholesterol C01164 + Precursor of calcitriol [22,77]
Previtamin D/i10 C07711 + Precursor of calcitriol n.d.
Vitamin D/i10 C05443 + Precursor of calcitriol [22,23]
Calcidiol C01561 + Precursor of calcitriol n.d.
Calcitriol C01673 + [22,78] n.d.
(S)-2,3-Epoxysqualene C01054 Long-chain
aliphatic structure
[79]; Precursor of
cholesterol
n.d.
Cholesterol C00187 + [80] [23,77]
24-Hydroxycholesterol C13550 + [80,81] n.d.
25-Hydroxycholesterol C15519 + [80–83] [23]
Compounds with unclear role in immunity
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Compound
KEGG
ID C17 Alkyl1
Immunity/MTb
Link
2
CYP124
Ligand
3
7α ,27-Dihydroxycholesterol C06341 + n.d. n.d.
(24S)-7α ,24-
Dihydroxycholesterol
C15518 + n.d. n.d.
Lathosterol C01189 + n.d. n.d.
Desmosterol C01802 + n.d. n.d.
Lanosterol C01724 + n.d. n.d.
CE(18:1(9Z)) C14641 + n.d. n.d.
CE(18:2(9Z,12Z)) C15441 + n.d. n.d.
Cholestenone C00599 + n.d. [23]
Cholest-5-ene C05416 + n.d. n.d.
5
α -Cholestanone C03238 + n.d. n.d.
CE(16:0) C11251 + n.d. n.d.
CE(12:0) C02530 + n.d. n.d.
22β -Hydroxycholesterol C05502 + n.d. n.d.
20α -Hydroxycholesterol C05500 + n.d. n.d.
20α ,22β -
Dihydroxycholesterol
C05501 + n.d. n.d.
Compounds with questionable relationship with CYP124
Progesterone C00410 - [84] n.d.
Dehydroepiandrosterone C01227 - [84–88] n.d.
Testosterone C00535 - [84] n.d.
Dihydrotestosterone C03917 - [89,90] n.d.
Tetrahydrocortisol C05465 - n.d. n.d.
17
α -Hydroxypregnenolone C18038 - [91] n.d.
17α ,21-
Dihydroxypregnenolone
C05487 - n.d. n.d.
Pregnenolone C01953 - [92,93] n.d.
17
α -Estradiol C02537 - [94] n.d.
Estradiol C00951 - [95] n.d.
Estrone C00468 - [96] n.d.
5-Androstenediol C04295 - [86,97] n.d.
Estriol C05141 - [98] n.d.
1Presence of aliphatic chain at C17
2Involvement in immunity or MTb-induced infectious process
3Active site ligand of mycobacterial CYP124
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Presence of aliphatic chain at C17: “+” – there is the aliphatic chain at C17, “-” – there is no
aliphatic chain at C17. n.d. – no data were found.
3.6 Modelling of CYP124-Ligand Complexes
Although the investigated ligands exhibit considerable structural diversity, we utilized in silico
analysis to delineate the common binding features dictated by the CYP124 active site architecture.
The primary objective was to identify the conserved hydrophobic core and key residues crucial for
accommodating a broad spectrum of potential ligands. The identification of this shared
pharmacophore serves to discriminate fundamental anchoring interactions from those that are
ligand-specific. This approach thereby strengthens the interpretation of our experimental data and
establishes a foundation for the rational design of future inhibitors.
3.6.1 Molecular Docking
Molecular docking of the 9 ligands showing the best results in spectral titration into the active site of
the CYP124 molecule was performed in the Flare 10.0.1 program. CYP124 crystals with different
substrates (cholestenone, vitamin D3) and an inhibitor (carbethoxyhexyl imidazole) were used for
docking. The use of different crystals was due to the significant conformational mobility of the
CYP124 active site cavity, the configuration of which is significantly influenced by the structure of
the bound compound[22,23,77]. As a result, using our docking parameters, it was not possible to
obtain models that agreed with the spectral titration results and satisfied the selected selection
criteria, except for 8 models (out of 27 possible protein-ligand combinations), which were deemed
satisfactory (Table 3). When analysing the docking results, the main focus was on finding common
CYP124 amino acids interacting with ligands in the models and crystal structures. This analysis was
performed in the Flare program using the “Interaction map” tool. The obtained models of complexes
of the investigated ligands with Mtb CYP124 are presented in Supplementary (Figures S3-10).
3.6.2 Molecular docking improved with short-term Molecular Dynamics simulations
Both HD-4 and 15
β -octaol occupied the CYP124 binding pocket with significant overlapping with
the cholest-4-en-3-one (cholestenone) binding site which serves as the cytochrome substrate [23]
(Figure 3). Optimized structures of complexes as well as the topology data are available via
ZENODO repository (DOI: 10.5281/zenodo.17693346).
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Figure 3. Diagram of the probable complex structures formed by Cyp124 with HD-4 and 15β -
octaol. The receptor is depicted as a cartoon with the cholest-4-en-3-one (cholestenone) binding site
residues represented as sticks (grey), with heme shown in stick representation (red), HD-4 (cyan)
and 15β -octaol (magenta) are displayed as ball-and-stick model.
In the HD-4 complex, methyl groups 24-Me and 25-Me located at 4.12 Å and 2.48 Å, respectively,
from the heme iron were engaged in dual H-π interactions (-1.3 kcal/mol total) and hydrophobic
contacts (-6.9 kcal/mol). The carbohydrate chain formed H-π interactions with the aromatic rings of
Phe63 (-1.0 kcal/mol), Phe112 (-0.3 kcal/mol), and the steroidal A-ring with Phe107 (-0.5 kcal/mol)
(Figure S11). The 2,3-di-OMe-xylopyranose moiety exhibited hydrophobic stabilisation with Phe63
(-5.39 kcal/mol), Phe112 (-2.69 kcal/mol), Phe107 (-5.82 kcal/mol), and Leu103 (-2.15 kcal/mol).
The HD-4 side chain formed hydrophobic clusters with side chains of Ile111, Val266, Thr271,
Ala267, and Leu263 (-2.95 to -2.12 kcal/mol each) deep in the active site. The ligand core engaged
hydrophobically with Phe416 (-2.19 kcal/mol), Leu198 (-1.39 kcal/mol), Thr95 (-2.47 kcal/mol),
and Asn97 (-0.92 kcal/mol), while its 6
β -hydroxy group acted as an H-bond acceptor with Thr95
and Asn97. Non-covalent intermolecular interactions analysis within this complex allowed us to
identify the role of water molecules in HD-4 orientation in the Cyp124 binding site. Water-mediated
interactions bridged the 26-hydroxy group to Glu270 (Figure S11) and connected the 15α -OH/3O-
Me/C4-OH groups of the xylopyranose moiety to Ser109/Asn93/Asn97.
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The 15β -octaol 26-OH group was positioned 4.68 Å from the heme iron (Figure 3). Hydrophobic
interactions dominated complex formation: the ligand core with Phe212, Phe200, Phe63, Thr95,
Asn97, Phe209, and Phe107 (from -4.13 to -2.10 kcal/mol), and the side chain with Leu198, Ile111,
Leu263, Phe216, Ile94, and Met318. H-bonds between 8-OH/Asn93 (-2.6 kcal/mol) and 4β -
OH/Asn97 (-2.3 kcal/mol) stabilised positioning (Figure S12). The Phe212 aromatic ring formed H-
π contacts with the steroidal A-ring of the ligand. Water molecules facilitated interactions between
Phe107 and Ser109 and the 16β -OH group via H-bonds. Hydrophobic/H-π interactions involving
C25/26-OH and heme contributed -1.57 kcal/mol, with the 26-OH forming a water-mediated H-
bond to Thr271.
An assessment of the interaction energy of Cyp124 with the solvent as well as with water molecules
and ligand fragments involved in complexation occurring before and after binding revealed a gain in
energy upon the complex formation with HD-4 and 15
β -octaol of -32.85 kcal/mol and -10.10
kcal/mol, respectively. The computational results evidenced the compound HD-4 to be a more
closely bound to CYP124 and is characterized by a lower Kd spectral
value of 4.06 uM, derived
from spectral titration experiments (Table 1), compared with that of 15β -octaol (Kd spectral of
10.37 uM), which has a less favorable binding energy value.
Divergent heme interactions were observed: HD-4 formed an H-bond with Glu373 (-7.7 kcal/mol;
Figure S13), while 15β -octaol engaged in weaker H-bonds with Met318 (-0.30 kcal/mol) and
Arg122 (-0.70 kcal/mol), plus ionic interactions with Arg122 (Figure S14). Conserved heme
contacts (Ala267, Phe301, Glu370) occurred in both complexes.
Summary data on CYP124 amino acids involved in forming hydrogen bonds and hydrophobic
contacts with ligands, according to MD models, are presented in Table 3.
Table 3. Parameters of models and crystal structures of compound complexes with CYP124.
Compound
PDB
ID
LF
Rank
Scone
LF
Δ G
Hydrogen
bonds
Aromatic-
Aromatic
Hydrophobic
contacts
Complex Models
(Docking)
Medicarpin 6T0G -9.1 -8.1 Ser109, Ser259 Phe107 Phe107, Ile111,
Ile262, Leu263,
Ala267, Met318,
Phe416
Maackiain 6T0G -9.7 -8.3 Tyr106 Phe107 Phe107, Ile111,
Ile262, Leu263,
Val266, Ala267,
Met318, Phe416
Medicarpin 6T0F -8.8 -7.6 Tyr106 Phe107 Phe107, Ile262,
Leu263, Val266,
Ala267, Met318,
Phe416
3,26-di-
О SО 3-
octaol
6T0F -6.5 -
14.9
Asn97, Val64,
Thr100, Ile197
- Ile94, Thr95, Gln99,
Leu103, Phe107,
Ile111, Leu263,
Val266, Ala267,
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Compound
PDB
ID
LF
Rank
Scone
LF
Δ G
Hydrogen
bonds
Aromatic-
Aromatic
Hydrophobic
contacts
Leu198
Medicarpin 6T0K -8.5 -7.8 Asn93, Gln99 Phe107,
Phe416
Phe107, Ile111,
Val112, Leu198,
Leu263, Val266,
Ala267
Maackiain 6T0K -8.4 -8.0 Thr271 - Leu198, Leu263,
Ala267, Thr271,
Phe416
3,26-di-
О SО 3-
octaol
6T0K -4.0 -
13.2
Asn97, Thr95,
Ser109,
Thr271
- Phe107, Ile111,
Ile197, Leu198,
Phe212, Leu263,
Val266, Ala267,
Val315
3-
О SO3-octaol 6T0K -3.5 -
12.3
Gln99,
Leu198,
Ser414
- Phe63, Thr95,
Leu103, Ile197,
Phe212, Phe416
Complex Models
(Molecular
Dynamics)
HD-4 6TOF - - Thr95, Asn97
(direct)
Glu270,
Asn93, Ser109
(water-
mediated)
- Phe63, Leu103,
Phe107, Ile111,
Phe112, Leu198,
Leu263, Val266,
Ala267, Thr271,
Phe416
15
β -octaol 6TOF - - Asn93, Asn97
(direct)
Thr271,
Phe107,
Ser109 (water-
mediated)
- Phe63, Ile94, Thr95,
Asn97, Ile111,
Leu198, Phe200,
Phe209, Phe212,
Phe216, Leu263,
Met318, Phe416
Crystal
Structures of
Complexes
cholest-4-en-3-one 6T0F - - - - Phe63, Thr95, Gln99,
Leu103, Phe107,
Ile111, Val266,
Ala267, Ile197,
Leu198, Phe212,
Phe416
Vitamin D3 6T0G - - - - Thr95, Gln99,
Val266, Ala267,
Phe416, Ile197,
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Compound
PDB
ID
LF
Rank
Scone
LF
Δ G
Hydrogen
bonds
Aromatic-
Aromatic
Hydrophobic
contacts
Leu198
Carbethoxyhexyl
imidazole
6T0K - - - - Val266, Met318,
Phe416
4. DISCUSSION
Despite progress in treating bacterial infections, tuberculosis remains a global threat, with therapy
for MDR-TB presenting particular complexity. Consequently, the search for chemical compounds
that can act on new promising Mtb target proteins is relevant. Among such targets, cytochrome
P450s have recently been highlighted[4,5]. CYP124 Mtb is considered one promising for
pharmacological intervention; it is not vitally essential but plays a critically important role in
virulence manifestation, particularly by being able to metabolise host immunoactive sterols [23].
CYP124 has wide substrate specificity [23,99]. As with many other cytochromes P450, minor
changes in the structure of the molecule result in altered substrate binding to CYP124. These facts
make the search for CYP124 Mtb inhibitors highly relevant. Our working hypothesis was that some
representatives of the phylum Echinodermata, genera Maackia and Zosteramight contain chemical
compounds capable of binding to the active site of Mtb CYP124 and serving as structural bases for
new inhibitors of this enzyme.
We applied a comprehensive approach (Figure 2), to search for prototypes of potential CYP124
inhibitors within a library of compounds isolated at the Pacific Institute of Bioorganic Chemistry.
The pipeline included SPR screening, spectral titration, biochemical testing of the ability to inhibit
CYP124 activity, as well as investigation of the “CYP124/inhibitor” complex half-life and IC50.
Using in silico methods, models of lead compound complexes with CYP124 were obtained, their
possible spectrum of biological activity was predicted, and a search for similar compounds among
human endogenous metabolites was performed.
The first stage of the work was screening our library of 32 compounds isolated from natural sources
on an SPR biosensor. As a result, 28 compounds showed the ability to interact with CYP124 (Table
1). Although SPR screening confirms the fact of interaction between the investigated ligand and the
cytochrome, it does not provide information on the binding site location. SPR cannot establish
whether ligands bind in the active site and interact with the heme iron, a factor important for a
potential inhibitor. Therefore, at the next stage, the possibility of binding to the heme iron was
evaluated for each of the 28 compounds using spectral titration. As a result, 9 compounds were
selected for which a reliable Type I spectral response was obtained, allowing calculation of Kd
(Table 1). A Type I spectral response indicates that the ligand can interact with the heme iron of the
CYP, displacing a water molecule [100]. Thus, at this stage, we obtained a list of compounds
capable of binding within the CYP124 active site cavity. Next, a biochemical test was performed to
determine the ability of the selected 9 compounds to inhibit the enzymatic activity of CYP124
(model reaction of 7-keto-cholesterol oxidation) in vitro (Table 1). Despite relatively similar
dissociation equilibrium constant (Kd) values, the ability of the compounds to inhibit CYP124
activity varied significantly.This observed effect may be attributed not only to the compounds'
interaction with the enzyme's active site but also to other contributing factors. These may include
binding to allosteric regulatory sites, direct interaction with the redox partners themselves, or
interference at the protein-protein interface between the cytochrome P450 and its redox partner.
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For the two compounds showing the most significant inhibition at their constant concentration of 50
μ M, 15β -octaol and HD-4, a series of additional studies were performed to obtain more information
about their potential as scaffold structures for designing CYP124 inhibitors. Thus, to assess the
potency of these inhibitors, we obtained IC50 values for the CYP124 model reaction. It was shown
that 15
β -octaol and HD-4 exhibited weaker inhibitory activity compared to the reference inhibitor
Cpd5’. Another characteristic for evaluating the potential of chemical compounds as enzyme
function inhibitors is the half-life of the protein-ligand complexes (
τ 1/2). It is currently considered
that it is the lifetime (or residence time) of the binary drug–target complex that determines the extent
and duration of drug pharmacodynamics[101]. We obtained τ 1/2 values for 15 β -octaol and HD-4 by
SPR, amounting to 181 and 65 minutes, respectively. This is consistent with the described lifetime
of FDA-approved drugs[102]. Also, it’s comparable to the half-life values of CYP3A4 complexes
with azole inhibitors, ketoconazole and itraconazole, obtained by SPR [46]. Although 15 β -octaol
and HD-4 did not show low IC50 values, their high τ 1/2 (181 and 65 min, respectively) indicate
potential as core structures for creating new CYP124 inhibitors through their optimisation. This
suggestion is grounded in the fact that the pharmacological relevance of a long residence time
extends beyond the instantaneous affinity measured in a closed in vitro system. Under dynamic of
the in vivo conditions, where drug concentrations fluctuate, the half-life of the drug-target complex
is a critical determinant of efficacy and tends to correlate with it [103,104]. A prolonged
τ 1/2
ensures sustained target coverage even after systemic concentrations of the unbound drug decline
below the IC50 or Kd value [103]. Moreover, efforts to improve the thermodynamic affinity and
the ref ore lo we ring the I C50 of a dr ug m ay ac tuall y r edu ce in vi vo effi ca cy [103].
However, we decided not to narrow our focus only to 15β -octaol and HD-4. It is advisable to
consider all 9 compounds, as they are capable of being ligands of the CYP124 active site and their
structures can be used as prototypes for potential inhibitors. The toxicity of the base structures is an
important criterion for assessing the potential of structures for their further use as the basis for
potential inhibitors. However, considering potential lead compounds must account not only for their
potential to modulate the target protein’s function but also for probable toxic effects, because high
toxicity can completely negate all efforts in developing a future drug[105]. Therefore, for a more
balanced assessment of our 9 compounds, we predicted their spectra of potential biological activities
using the PassOnline web service. As can be seen from Table S2, a wide list of potential biological
activities was predicted for our sample of 9 ligands. We analysed the predicted biological activities
and selected 10 from them that could be most dangerous in terms of toxicity manifestation:
immunosuppressive activity, antineoplastic activity, JAK2 expression inhibitor, glyceryl-ether
monooxygenase inhibitor, 17
β -HSD3 inhibitors, prostaglandin-E2 reductase inhibitors, sterol Δ 14-
reductase inhibitors, testosterone 17β -dehydrogenase inhibitor, bilirubin oxidase inhibitors, caspase
3 stimulant. Among these effects, antineoplastic and immunosuppressive activities occur most
frequently. The prediction of immunosuppressive activity is unfavourable, as this effect may be
associated with toxic effects on immune system cells[106,107], and also cause disturbances in
immune system function[106]. The predicted antineoplastic activity suggests that the compound
could potentially be toxic to actively dividing cells (e.g., mucous membranes, haematopoietic
tissues, etc.) [108]. For the compounds showing the greatest potential as prototypes for CYP124
inhibitors, 15
β -octaol and HD-4, PassOnline predicted quite a few biological activities, including the
most dangerous in terms of toxicity manifestation (Table S2). Thus, when using these structures as
scaffold structures for potential CYP124 inhibitors, the possibility of such toxic effects must be
considered. Special attention will also need to be paid to in vivo toxicity tests, as the toxic effects we
mentioned are only predictions. However, in terms of the least number of predicted biological
activities, stellettin Q and 3-OSO
3-octaol can be considered priorities, for which two and three
biological activities were predicted, respectively (Table S2). And if stellettin Q demonstrated
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extremely low inhibitory potential (2% inhibition of CYP124 activity in the model system), 3-
OSO3-octaol can be considered more promising (Table 1). However, a possible antineoplastic effect
was predicted for stellettin Q, which should be considered when working on optimising this
compound’s structure. Among the biological activities predicted for 3-OSO
3-octaol, the ability to
inhibit two enzymes can be highlighted: Alkylacetylglycerophosphatase and Benzoate-CoA ligase.
Alkylacetylglycerophosphatase inhibitor activity may be associated, for example, with impaired
synthesis of platelet-activating factor (PAF)[109]. Interaction of PAF with its receptors results in the
inhibition of cyclic AMP formation, mobilisation of intracellular Ca
2+, and the activation of
mitogen-activated protein kinases, leading to multiple biological effects [110], including disruption
of platelet activation processes and immune reactions. The target for the other predicted activity of
3-OSO
3-octaol, benzoate-CoA ligase, is characteristic of plants and bacteria[111,112]. Thus, in
terms of potential for further structure modifications, 15β -octaol and HD-4 can be considered as the
most potent, and also 3-OSO3-octaol, as having a small number of predicted biological activities
with relatively good potency as a CYP124 inhibitor. It should be emphasised that all the biological
activities we discuss are predictions, so they should be validated on in vivo models, and it is
important to consider them in structure optimisation work.
In addition to considering compounds from our investigated sample as structure-scaffolds for new
potential CYP124 inhibitors, we assessed which metabolites in the human body might also be
ligands of this cytochrome’s active site. As a result of analysing lists of classical human endogenous
metabolites obtained from the KEGG database, a group of 37 compounds was identified from the
entire set (similarity to our 9 ligands >0.4 Tanimoto) (Table 2).
Analysis of the found literature allows us to propose the hypothesis that CYP124 M. tuberculosis
may serve as a key link connecting the metabolism of host steroids related to the development of the
immune response to infection, although existing data only partially confirm this link. Support for
this hypothesis can be found in the study by Varaksa et al.[23], which experimentally demonstrated
that enzymes of Mtb, including CYP124, can metabolise human immune oxysterol messengers. This
work, along with studies[22,77], also confirms CYP124 interaction with components of the vitamin
D pathway (7-dehydrocholesterol, vitamin D3), whose role in antimicrobial immunity, particularly
against Mtb, is covered in reviews[22,78]. Compounds such as 24-hydroxycholesterol [80,81]and
(S)-2,3-epoxysqualene [79] are associated with immune or inflammatory processes, but their
potential interaction with CYP124 has not yet been studied. Also, a number of publications
[84,85,92] indicate a significant immunomodulatory role of sex hormones (including progesterone,
DHEA, testosterone, pregnenolone, and estrogens) in infections; however, no studies were found on
their binding to the CYP124 active site. The assumption that these steroid compounds, which lack a
pronounced aliphatic chain at the C17 position, could be substrates of CYP124, must be treated very
cautiously, considering the known specificity of CYP124 for preferential
ω -hydroxylation of
methyl-branched lipids[20]. Thus, despite the established role of CYP124 in the metabolism of
individual immune-relevant host sterols, the hypothesis of its broader involvement in immune
regulation requires further verification.
Thus, we consider our selection of priority 9 compounds as examples of chemical structures that
may be characteristic of both substrates from classical human endogenous metabolites and
prototypes of CYP124 inhibitors. Based on this, analysis of the ligand-CYP124 complex structure
appears interesting. This can be useful as a source of information on the involvement of amino acids
lining the walls of the CYP124 active site. This information may be important in the search for
inhibitor prototypes, facilitating the determination of compound modification pathways [20]. To
predict the structure of complexes of the 9 ligands with CYP124, we used soft docking in the Flare
program.
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As a result, 8 models of compound-CYP124 complexes were obtained for four compounds
(medicarpin, maackiain, 3,26-di-OSO3-octaol, 3-OSO3-octaol) in three variants of CYP124 crystal
structures (Table 3). For the other 5 compounds, no acceptable docking poses were identified in any
of the CYP124 crystal structures. Different CYP124 crystal structures were used due to the
significant conformational mobility of the active site cavity, the configuration of which is
significantly influenced by the structure of the bound compound [22,23,77].
The low proportion of successful docking results can be explained by the conformational mobility of
the CYP124 active site: soft docking does not account for significant structural shifts in the protein
molecule. Due to these circumstances, MD of HD-4 and 15-
β octaol complexes with Mtb CYP124
was performed. Computational results demonstrate tighter heme proximity and more favourable
interactions for HD-4 versus 15β -octaol, aligning with spectral titration data. For 15β -octaol,
noncovalent interactions anchor the ligand but likely minimally impact spectral alterations. Instead,
spectroscopic properties could appear to be governed by hydrophobic/H-
π interactions of the
C25/26-OH groups with heme and the water-mediated 26-OH–Thr271 H-bond. Collectively, these
Results
elucidate possible CYP124’s ligand-specific interaction mechanisms, highlighting distinct
binding modalities between sterol derivatives.
MD revealed a gain in energy upon the complex formation with HD-4 and 15β -octaol of -32.85
kcal/mol and -10.10 kcal/mol, respectively. Despite this significant (approximately threefold)
difference in binding energies calculated by MD simulation, the experimental dissociation constants
(Kd) obtained from spectral titration were relatively close: 4.06 µM for HD-4 and 10.37 µM for
15
β -octaol. To compare these results directly, we estimated the energy change during the CYP124
interaction with HD-4 and 15β -octaol during the spectral titration via Van 't Hoff equation ∆/g1833 /g3404
/g1844/g1846 ln /g1837/g1856 , using the T = 298 K (25 °C), R = 8.31 J⋅ K−1⋅ mol−1. For HD-4 ∆ G was -5.98 kcal/mol, for
15β -octaol – -5.43 kcal/mol. Both experimental data and computational modeling demonstrate a
unidirectional change in Gibbs free energy for the interaction of both compounds and indicate that
HD-4 exhibits stronger binding to the protein compared to 15
β -octaol. The discrepancy between the
experimental and calculated Gibbs free energy changes (approximately 5-fold) for HD-4 may be
attributed to the presence of a carbohydrate substituent, which could bias the results of molecular
modeling [113,114].
Next, the list of CYP124 active site amino acid residues interacting with low molecular weight
compounds, both in our obtained models and in crystal structures, was analysed. Such analysis is
important for understanding the mechanisms of substrate binding in the CYP124 active site, as well
as for optimising pathways for chemical modification of potential inhibitor chemical structures.
Comparison of amino acid interactions with CYP124 ligands, according to crystallography data
(PDB ID: 6T0F, 6T0G, 6T0K), molecular docking, and MD, revealed a conserved hydrophobic
core, including 11 residues (Phe63, Thr95, Leu103, Phe107, Ile111, Leu198, Phe212, Val266,
Ala267, Met318, Phe416). The critical role of Phe107 (
π -stacking), Phe416 (hydrophobic pocket),
Val266/Ala267 (“hydrophobic wall”), and Ile111/Met318 (stabilisation of substrate binding to
heme) is consistent with literature data on substrate binding by CYP124 M. tuberculosis[20].
Specifically, Johnston et al. showed that 7 residues (Ile94, Leu103, Phe107, Ile111, Leu263, Val266,
Ala267) form a universal core, positioning the terminal methyl groups of lipids at a distance of 3.8
Å from the heme for
ω -hydroxylation[20].
Consistently in docking and dynamics, but not in crystals, Ile94, Leu263, Thr271, Asn93, Asn97,
Ser109 appear, forming an adaptive hydrophobic pocket (Ile94, Leu263) and an H-bond network
(Thr271, Asn93, Asn97, Ser109) for orienting polar ligand groups. The role of Ile94, Leu263, and
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Asn97 in forming hydrophobic interactions and hydrogen bonds, respectively, with CYP124 ligands
is supported by literature data[20].
Unique MD residues (Glu270, Phe112, Phe200, Phe209, Phe216) partially overlap with amino acids
responsible for substrate-induced closure of the enzyme active site (Phe200, Phe212) according to
crystallography data[20], explaining their incomplete reproduction in docking due to static
modelling limitations. Dynamics of Thr100–Phe107 (BC-loop) and Phe209–Val231 (G-helix) in
MD corresponds to conformational reorganisation upon binding [20]. Polar residues Thr95 and
Asn97 exhibit adaptability in MD: Thr95 participates in hydrophobic contacts (-2.47 kcal/mol) and
H-bonds with the 6
β -hydroxy group of HD-4, and Asn97 forms H-bonds (-2.3 kcal/mol) with the
4β -OH of 15β -octaol, consistent with their role in stabilising polar substrate groups in crystals[20].
Unique residues found exclusively in molecular docking include Ile262, Ser259, Ser414, Thr100,
Tyr106, Val112, Val315, Val64, participating in hydrophobic contacts and H-bonds, but absent in
crystals and MD.
The absence of unique residues in the crystal structures used for modelling confirms their
representativeness as a reference, and the discrepancies most likely reflect methodological features:
docking captures local interactions, MD captures the dynamics of substrate-induced site closure, and
their overlap reveals hidden aspects of binding. Moreover, these discrepancies do not contradict the
dominant role of the enzyme’s active site hydrophobic pocket in protein-ligand interactions.
Thus, it can be stated that the conserved hydrophobic core of CYP124 (including Phe107, Phe416,
Val266/Ala267) is the basis for ligand binding, as confirmed by crystallography, docking, and MD
data, as well as literature. The present study, based on a comprehensive experimental and
computational approach, yielded a number of significant results concerning the interaction of natural
compounds and potential endogenous ligands with CYP124. These results form the basis for the
following conclusions.
5. CONCLUSIONS
We analysed a sample of 32 compounds isolated from representatives of the flora and fauna of the
Far East. Comprehensive analysis using surface plasmon resonance, spectral titration, and
biochemical analysis allowed the identification of 9 new non-azole ligands for the active site of
CYP124 M. tuberculosis. Among them, 15
β -octaol (IC50 ≈ 86 μ M) and HD-4 (IC50 >100 μ M)
acted as inhibitors forming long-lived complexes (τ 1/2 of the CYP124/inhibitor complexes was 181
and 65 min, respectively). The spectrum of biological activities was predicted for all detected
enzyme active site ligands, revealing potential toxic risks (immunosuppression, cytotoxicity), which
must be considered in case of further optimisation of these structures. Thus, a foundation was laid
for the search for new non-azole inhibitors of Mtb CYP124 and natural compounds were identified
that can serve as base structures for creating modifiers of the enzymatic activity of the cytochrome.
By analysing the KEGG database, which is a collection of small molecules, biopolymers, and other
chemical substances relevant to biological systems, 37 human endogenous metabolites structurally
similar to the
found n atu ral CYP124 ligands (Tanimoto coefficient >0.4) were discovered,
including immunoregulatory sterols and their precursors, among which some are already known as
CYP124 active site ligands (7-dehydrocholesterol, vitamin D3, cholesterol and 25-
hydroxycholesterol), consistent with previously known data on the enzyme’s possible role in host
steroid metabolism during infection. Presumably, such immunoregulatory compounds and their
precursors: previtamin D3, calcidiol, calcitriol, 24-hydroxycholesterol and (S)-2,3-epoxysqualene
may also be ligands of the CYP124 active site, but this assumption requires experimental
confirmation.
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In silico-analysis (docking, molecular dynamics) and its comparison with known CYP124 crystal
structures confirmed the role of the CYP124 hydrophobic core (Phe63, Thr95, Leu103, Phe107,
Ile111, Leu198, Phe212, Val266, Ala267, Met318, Phe416) in ligand binding. At the same time,
unique residues (Glu270, Phe112, Phe200, Phe209, Phe216) not participating in ligand interaction in
the investigated crystal structures were revealed in molecular dynamics models. This discrepancy
likely reflects substrate-induced conformational changes and requires further study.
The obtained data on binding patterns create a basis for pharmacophore modelling in the
development of inhibitors of one of the potentially key enzymes of M. tuberculosis, which may
prove to be a new approach in the fight against multidrug-resistant tuberculosis.
6. AKNOWLEDGEMENTS
We thank Prof. Rita Bernhardt (Saarland University, Saarbrucken, Germany) for providing the
expression construct for Arh1.
Surface plasmon resonance analysis was performed using the equipment of the Human Proteome
Core Facilities of the V.N. Orekhovich Research Institute of Biomedical Chemistry (Moscow,
Russia).
7. CONFLICT OF INTEREST
The authors declare no conflict of interest.
8. AUTHOR CONTRIBUTIONS
Conceptualization – LK and EY, Methodology – LK, EY, TV, AG, AK, IG, YM, EZ, OG, DT, TM,
SK, AK, EV, NM, AS, SA, TR and DT; Data curation and Formal analysis – LK, EY and YM;
Visualization – LK, EY, TV and EZ; Writing - original draft – EY; Writing - review & editing –
LK, EY and YM; Supervision – VK, AK, EK, SF, NI, PD, AG and AI; Funding acquisition – PD
and AG; All authors have read and agreed to the published version of the manuscript.
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