Abstract
AlphaFold3 architecture represented an important leap relative to Alphafold2 by enabling the
inclusion of protein ligands in the prediction network. Ligand-dependent structural
rearrangements are inherently difficult to predict computationally as they imply transitions
between states separated by large energy differences. Here we apply AlphaFold3 to predict
nucleotide-dependent changes in the conformational cycle of representative ABC transporters
that have been extensively investigated by experimental structural biology techniques. We show
that under similar conditions , AlphaFold3 predictions sample experimentally observed
conformations. Moreover, the heterogeneity of these predictions correlate s with experimental
measures of dynamics obtained from multiple techniques. For couple of the tested transporters,
the implied relative energetics of the conformations mirror th eir experimental counterpart.
Remarkably, AlphaFold3 predicts previously unobserved conformations that have been implied
to be sampled by ABC transporters. Finally, we report preliminary results showing that postulated
sequence determinants of conformational changes modify the predictions of Alpha Fold3.
Although hundreds of ABC transporter structures have been determined and were included in the
training data of AF3, we propose that aspects of its predictions reflect extrapolation of principles
learned from these structures.
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Protein function entails the sampling of multiple conformations along a rugged energy
landscape. The enumeration of these conformations, the characterization of their relative
energies, and the kinetics of their interconversion is a central task in protein science that has
implications and applications in numerous fields. For decades, protein scientists have
meticulously taken on this challenge often laboring under experimental condition s that obscure
one or more of these conformations. The experimental bottleneck has been somewhat alleviated
by the development of high -resolution single particle cryo-EM which made possible t he
determination of structures at the energy minima of the landsc ape, sometimes from the same
cryo-EM sample grid(1-5). The emergence of deep learning protein structure prediction methods
holds the promise of mapping protein conformational landscape in silico(6-10). The open codes
for many of these methods along with user -friendly interfaces have sustained a surge in their
applications across subfields of protein science. Here we are focused on the AlphaFold platform
developed and deployed by the DeepMind team(6).
To generate conformational ensembles from a single input sequence using the
AlphaFold2 (hereafter referred to as AF2) network(7), w e have previously presented and
benchmarked approaches to βhackingβ A F2(11, 12 ). The original approa ches exploited
subsampling of the multiple sequence alignment (MSA) as well as in silico mutagenesis of the
MSA. Subsequent robust variations on the subsampling theme have been published (13-15).
Collectively, these methods show that AF2 can predict distinct conformations of the same protein
that correspond to experimental structures. While attempts have been introduced to infer
Boltzmann distributions from AF2 (16), the implied distributions of conformations is not readily
correlated with energetics.
Despite the introduction of AlphaFold3 (hereafter referred to as AF3) (6), the task of
predictions of multiple conformations remains outstanding. As noted by its developers, AF3 does
not display a robust ability to predict alternative protein conformations(6). However, unlike it AF2
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predecessor, AF3 allows the inclusion of protein ligands in the prediction network. Conformational
sampling of many proteins , including for example receptors and transporters , requires ligand
binding to overcome a large energy difference between conformations. Application of MSA
subsampling to predict the conformational space of such systems has not been extensively
investigated although we find that for a limited set of systems, subsampling in the context of AF2
does not predict the spectrum of conformations observed under different experimental
conformations. In this work, we investigate if AF3 with its diffusion architecture coupled to the
Introduction
of ligands can overcome this limitation. We showcase the success of this approach
on the ABC exporters family where conformational transitions are driven by binding and hydrolysis
of ATP. ABC transporters power large structural rearrangements of their transmembrane domains
(TMDs) from the energy of ATP binding and hydrolysis in the nucleotide-binding domains (NBDs)
(17-22). More than 200 structures of ABC transporters have been determined most notably by
cryo-EM revealing the conformations populated in response to the cycle of ATP binding and
hydrolysis(17, 18).
Results
We focused our investigation on representatives of type IV ABC exporters that have been
studied by a combination of structural biology technique s and represent distinct ABC exporters
subfamily. MsbA , an archetype of ABC hom odimers, has been extensively studied by EPR,
crystallography and cryo-EM(23-31). The conformational cycle of the heterodimeric ABC
transporter, TmrAB, was revealed in seminal work by Tempe /Moeller and colleagues(3, 32-34).
BmrCD is another extensively investigated ABC heterodimer with distinct energy landscape as
compared to TmrAB(1, 2, 35, 36 ). Both BmrCD and TmrAB have one impaired NBD where the
catalytic glutamate has been replaced leading to what is referred to as a degenerate nucleot ide
binding site. Finally, the ABCB1 or P-glycoprotein (Pgp) transporter is a single polypeptide chain
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with two half transporters displaying extensive sequence divergence. Structures of Pgp have been
determined from multiple organisms (37-40). For all the predictions reported below, AF3 had
access to the template module. Predictions without templates are presented in the supplementary
data and will be referenced in the appropriate context.
MSA subsampling of ABC exporters yields limited structural variability. Because of its robustness
in the context of AF2, w e carried out MSA subsampling in the AF3 environment on all 4
representative ABC exporters in the absence of nucleotides. We binned the resulting 500 models
for each transporter by their respective RMSDs to the corresponding experimental structures. We
observed substantial conformational heterogeneity for MsbA predictions, yet it appeared that most
models had large deviations from the experimental structures (Fig. 1). In contrast, while Pgp and
TmrAB models were less heterogenous, they were no closer to the structures as evidenced by
their RMSDs . Finally, BmrCD showed preference to sample the IF conformation with minor
population of OF-like structures. We note that Pgp contains a linker regions that is presumed to
be flexible hence it has not been observed experimentally(39-41).
AF3 models in the presence of nucleotides capture multiple conformations. In contrast to MSA
subsampling, addition of nucleotides induced distinct and reproducible conformational
preferences. The combination of nucleotides included in the predictions aimed to reproduce the
experimental conditions of the available structures to the extent possible. For illustration, Figure
2 compares representative predicted AF3 models, selected by Fold seek from the ensemble of
models, with the corresponding experimental structures. The figure shows that w hereas AF 3
successfully predicted models that are similar to the experimental structures for MsbA, and
BmrCD, the OF conformation of TmrAB was conspicuously absent (Table 1). We note that Pgpβs
experimental OF structure is rather occluded on the extracellular side s imilar to the predicted
conformation.
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More quantitatively, Figures 3 and 4 report a RMSD probability histogram that emphasizes
how inclusion of nucleotides shift the predictions of AF3 (Figs. S1 and S2 ). Analysis of these
changes, however, further illustrates stark differences between the predictions for the four ABC
exporters under different nucleotide and magnesium combinations. For BmrCD, we observe that
the models for Apo and 2Mg2+/2ATP yield high probabilit y and low RMSD for the IF and OF
conformations respectively, as expected . In contrast, we were unable to find nucleotide
combinations that force AF3 to predict the OF conformation of TmrAB (Fig. S1). The results for
BmrCD and TmrAB are notable considering that the latter had an OF structure in the PDB(3), i.e.
available for the template module, whereas the former did not.
Models for the Apo condition of MsbA yielded broad distributions that primarily reflect the
IF conformation. Remarkably inclusion of two nucleotide molecules, including 2Mg2+/2ATP or
2Mg2+/1ATP1ADP, in different combinations consistently shifted the conformational preference to
the OF conformation (Fig. S2 ). This shift was accompanied by a tighter RMSD distributions
suggesting a highly homogenous ensemble of models. In contrast , Pgp models displayed
heterogenous RMSDs with the nucleotide-free and 2Mg2+/2ATP conditions favoring the IF and
OF conformations respectively (Fig. S2).
Other combinations of nucleotides increased the heterogeneity of the predictions (Figs.
S1 and S2). We simulated conditions under which only one Mg 2+ was included along with two
molecules of ATP. Except for MsbA which appeared to favor OF conformation under multiple
nucleotide conditions, the other transporters showed variable conformational preferences. For
BmrCD, the predictions partly favored the OC conformation whereas for Pgp a population of OF
conformation ( which is essentially an OC) w as detected along with a population of IF
conformation. Notably, AF3 predicted an OF conformation for MsbA in the presence of
2Mg2+/2ADP which is inconsistent with experimental data(28) (Fig. S3). Excluding templates did
not change the prediction under these conditions (Fig. S3). Overall, for all transporters except the
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homodimer MsbA, a single Mg 2+ triggered changes in the preferred conformation suggesting a
pivotal role in the cycle.
Predicted ensemble heterogeneity is consistent with measured DEER implied heterogeneity. To
compare the predicted models with the conformational ensembles deduced from previously
published DEER data, we measured the CΞ± distances at the extracellular and intracellular sides
of the transporter s. For BmrCD, MsbA and Pgp, the residu es were selected based on the
experimental spin label pairs(1, 23, 35, 36, 42, 43 ). These pairs have been shown to report the
IF to OF transition in the presence of various nucleotides and substrates (Fig 5, solid traces).
Figure 6 and Figs. S4-S5 show the CΞ±-CΞ± / Cο’βCο’ distance distributions at the extracellular and
intracellular pairs obtained from 500 predicted models under different nucleotide and Mg 2+
conditions. Addition of 2Mg2+/2ATP induces opposite distance changes at the two sides of these
transporters reflecting transition between IF and OF conformations. However, the distributions
reveal that the apparent energetic preferences, as captured by the ra tio of these populations in
the presence of 2Mg 2+/2ATP, differ between transporters. MsbA and BmrCD are almost
completely switched to the OF conformation. On the other hand, Pgp continues to sample the IF
conformation. Notably for MsbA, the first ATP binding induces a lager distance distribution at the
extracellular side (158/158) and a shorter distance distribution at the intracellular side (103/103).
The conformational shift is completed upon the second ATP binding (Fig. 6),
Other nucleotide conditions shown in Figure 6 further expose apparent energetic
differences. On one extreme, MsbA is in a OF conformation under all conditions except apo and
in the presence of 1 ATP where MsbA partially samples an occluded conformation (Fig. S6). In
contrast except for the 1Mg2+/2ATP, BmrCD is in an occluded conformation suggesting that
binding of th e second Mg 2+ induces the transition to the OF conformation as experimentally
observed(1). Finally, Pgp appears to partition primarily between the IF and OF confor mations
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even in the presence of 2Mg 2+/2ATP. This is consistent with the observation that the OF
conformation is rarely sampled.
AF3 predicts previously unobserved conformations of BmrCD. RMSD and distance analyses
predict conformations that have not been observed experimentally. This is illustrated by the green
trace for the BmrCD 96/188 pair in Figure 6 in the presence 1Mg2+/2ATP. RMSD of the 500
models relative to the experimental OC and OF conformations show that the major population of
predicted models are close to the former (Fig. 3). However, the second major population, which
has a RMSD of 3 Γ
compared to OC structure (PDB 8T1P) (Figs. 7 and S6, Tables 2 and 3),
hereafter referred to as asymmetric OC , deviates on the intracellular side yielding the green
distance population in Figure 6. Remarkably, inspection of the nucleotide binding sites (NBSs) in
the asymmetric OC conformation reveals preference for Mg2+ binding at the degenerate site (Fig.
S7a) which is disengaged in a fraction of the models (Stage I) whereas the consensus site is
engaged across the population of models (Fig. S7b). The distance between the ABC motif and
ATP at the degenerate site increased from 3 Γ
to 10 Γ
, compared to almost no changes on
average at the consensus site (Figs. 7b and S7). This conclusion is illustrated by the distance
distribution observed at the NBSs. Here we monitored pairs of residues that previously reported
asymmetric conformations as observed by DEEER of spin labeled pairs (1, 35) (Figs. S8 and S9).
Thus, the transition from OC to asymmetric OC results in disengagement at the degenerate NBS
site.
Furthermore, we identified 4 models in the ensemble that are OF-like (hereafter referred
to as semi-OF) with RMSD values to the OF (PDB 9CUS) of around 2 Γ
(Fig. 7c). Superposition
of these semi-OF model on the experimental OF structures (aligning the BmrD subunit) reveals
that all helices on the extracellular side shifted toward the middle by approximately 2 to 7 Γ
, while
the intracellular side showed virtually no changes (Fig. 7c). As a result, the angle between the
extracellular sides of TM1 and TM6 of BmrC decreased from 21Β° to 10Β° in the semi-OF models
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(Fig. 7c), thereby reducing the chamber volume from 4995 Γ
3 to 2239 Γ
3 (44, 45). If Hoechst
molecules are docked into their position in the experimental OF structure, severe steric hindrance
with TM1 and TM6 of BmrC , as well as TM6 of BmrD, would result in the semi-OF confirmation
suggesting that this model may be on the reset path from the OF to the IF following drug release.
Shifts in AF3 conformational preferences is coupled to changes in heterogeneity. We noted above
(Figs. 3 and 4, S1 and S2) that the RMSD distributions between predicted models and structures
displayed variable widths under different conditions. To further dissect this property and relate it
to the cryo-EM experimental data, we calculated the residue mean square root fluctuations
(RMSF) to quantify flexibility across the predicted ensembles. All models were aligned to a
Reference
structure (the first PDB file under each condition) using a least-squares fitting algorithm
(as implemented in the Superimposer module from BioPython (46)) to minimize the CΞ± atom
positional deviations. Subsequently, the RMSF was calculated based on this structural alignment.
The experimental B -factors, which were determined during the refinement of the cryo -EM
Reference
structure, were mapped onto the molecular structure and visualized using the B-factor
putty representation in PyMOL (Fig. 8, red regions indicate higher flexibility).
We observed a consistent pattern between predicted and experimental fluctuations.
Fluctuations in the NBDs across IF models qualitatively mirror the high B-factors in the
corresponding experimental IF conformation s, for BmrCD, TmrAB, and Pgp. Conversely, the
extracellular regions of the TMDs exhibit greater fluctuations in the OF models, which correlates
with higher B-factors in the experimental OF conformations, as observed for BmrCD and MsbA
(Fig. 8).
Coupling helices in BmrCD and TmrAB are determinants of conformational selection. The failure
of AF3 to predict the OF conformation of TmrAB despite its availability in the PDB (Fig. S5), and
thus in the template module of AF3, stands in stark contrast to the success in modeling BmrCDβs
OF conformation which had not been deposited in the PDB when these predictions were obtained.
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To further investigate the origin of this finding, we targeted regions of the transporters that have
been implicated in the coupling of conformational changes between the NBD and TMD,
specifically the coupling helices(47, 48).
For this purpose, we predicted models in the presence of 2Mg2+/2ATP for chimeric
proteins of BmrCD and TmrAB wherein the coupling helices were interchanged . The impaired
catalytic sites (also referred to as degenerate sites) of TmrAB and BmrCD, i.e. where the catalytic
Glutamte is replaced, are located in TmrB and BmrC respectively. Thus, the coupling helices were
swapped between Tmr B and BmrC, with a similar exchange between TmrA and BmrD .
Specifically, 12 residues were selected for CH1 (between TM2 and TM3), and 11 for CH2
(between TM4 and TM5) (Table 4).
Compared to predictions of wild-type (WT) BmrCD which yields 95% OF conformation,
the engineered BmrCD with all four coupling helices replaced by those of TmrAB (referred as
BmrCD12BA) displayed 100% OC conformation (Figs. 9 and S10 ). To pinpoint the crucial
coupling helices, predictions with four CH replacements were performed, which restored varying
populations of OF conformation (Fig. 9). We observed that the replacement of a CH with
evolutionary distant CH yielded a larger population of OC conformation (Fig. 9d). Finally, the
chimera wherein wherein the CH pf BmrC were replaced by TmrAβs and BmrDβs were replaced
by TmrBβs (BmrCD12AB) yielded less pronounced effects compared to BmrCD12BA (Fig. 9).
In contrast, similar CHs replacement predictions conducted on TmrAB, where the CHs of
TmrAB were substituted by the CHs of BmrCD , appeared to stabilize the OF conformations .
Surprisingly, TmrAB12DC (with TmrAβs CHs of replaced by BmrDβs CH and TmrBβs by BmrCβs
CH) as well as the opposite chimera TmrAB12DC showed a noticeable shift compared to WT with
a detectable population of OF conformation, while TmrAB12CD (TmrAβs CHs replaced by BmrCβs
and TmrBβs by BmrDβs) exhibited minimal changes ( Fig. 10). The fact that the OF population is
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only a fraction of the model may suggest that th ere are sequence determinants of its stability in
other segments of the transporter.
Concluding remarks. A number of interesting themes regarding AF3 predictions emerge from
the focused analysis above. We find that AF3 can predict alternate protein conformat ions
expected in the presence of ligands. The effect s of ATP were not uniform across all four
transporters suggesting that the predictions are context specific. In fact, we observed
heterogenous predictions that seem congruent with experimental energetic findings. Furthermore,
the predicted models did not simply reproduce experimental structures consistent with AF3 not
being guided exclusively by templates. There were important correlations in the degree of implied
disorder in the models with experimental findings. The extent to which these conclusions can be
generalized remain to be investigated but suggest that AF3 provide s a robust tool to test how
ligand binding shifts protein conformational equilibria.
Materials and methods
Structure prediction by AF3
Structure prediction runs were executed using AF3 (6) (https://golgi.sandbox.google.com). For
the four wild-type ABC transportersβ structure prediction, the input protein sequences for BmrCD
are BmrC and BmrD, each with one copy; for TmrAB are TmrA and TmrB, each with one copy;
for Pgp (human ortholog unless stated otherwise), with one copy; for MsbA, with two copies. The
initial six screening conditions are apo (without any other component), 1ATP (with one copy of
ATP as the ligand), 2ATP (with two copies of ATP as the ligands), 1Mg 2+/2ATP (with two copies
of ATP as the ligands, and one Mg 2+ as the ion), 2Mg 2+/2ATP (with two copies of ATP as the
ligands, and two copies of Mg2+ as the ions), and 2Mg2+/1ATP1AD (with one copy of ATP and one
copy of ADP as the ligands, and two copies of Mg 2+ as the ions) in autoseed mode. For the
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engineered protein structure prediction, the wild -type protein sequence was replaced with the
engineered one, as well as 2 copies of ATP and 2 copies of Mg2+ in autoseed mode. All jobs were
repeated 100 times with random seeds, with templates applied unless otherwise noted.
Predicted models clustered by Foldseek
To enable fast and sensitive clustering of the large number of models predicted by AF3, we
applied Foldseek(49). For the monomeric human Pgp protein, we used monomer cluster function.
Specifically, for its apo form, 500 models were clustered using default parameters with 30%
minimum sequence identity, 50% mini mum aligned residues, and generated a single cluster
representing the inward-facing conformation. Similarly, a single cluster of the 2Mg 2+/2ATP Pgp
were obtained with default parameters, which showed the outward-facing conformation.
For BmrCD, TmrAB, and MsbA, the multimercluster function was applied with default
parameters (multimer-tm-threshold: 0.65, chain-tm-threshold: 0.5, interface-lddt-threshold: 0.65)
unless otherwise noted. The BmrCD IF, occluded, and OF conformations were selected from the
apo, 1Mg2+/2ATP, 2Mg 2+/2ATP conditions, respectively. MsbA IF and OF conformations were
selected from the apo and 2ATP conditions, and TmrAB IF and OC conformations were selected
from apo and 2Mg 2+/2ATP conditions. Furthermore, The CΞ± -CΞ± distance distribution of
intercellular pair 96/188 in 1Mg2+/2ATP BmrCD revealed five distinct populations: OF, semi OF,
OC, asymmetric OC, and IF (Table 3 ). The representative models for OF, semi OF, OC,
asymmetric OC, and IF were identified by Foldseek with default parameters.
MsbA occluded representative model was selected by multimercluster with a modified
interface-lddt-threshold of 0.96 (and multimer-tm-threshold: 0.65, chain-tm-threshold: 0.5). Three
clusters were generated from 500 models, and 9 of them are occluded. Since AF3 could not
predict an OF conformation for wildtype TmrAB, we used a chimeric TmrAB with its coupling
helices replaced by those from BmrCD (TmrAB12DC), two clusters were produced by
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multimercluster with strict parameters (0.95 for multimer-tm-threshold, chain-tm-threshold, and
interface-lddt-threshold) from 500 models, 52 of which exhibited the OF conformation.
All the presentative models are shown in cartoon representation in Fig. 2. The TM-scores
and RMSD values between cryo-EM structures and the representative AF3 models are listed in
Table 1.
Root Mean Square Deviation (RMSD) and Root Mean Square Fluctuation (RMSF) analysis
RMSD measures the average distance between corresponding atoms in two superimposed
protein structures. It is defined as:
π
πππ· = ββ βππββ β π π
πππβ
2π
π=1
π
Where: RMSD is the Root Mean Square Deviation of π atoms; ππββ and π π
πππ are the coordinate
vectors of the π-th atom in the target and reference structures after superposition; π is the number
of atoms used for alignment. βππββ β π π
πππβ is the Euclidean distance between the two corresponding
atoms.
RMSF quantifies how much each residueβs position fluctuates around its average position in a
protein structure ensemble. For RMSF analysis, all predicted models were converted from CIF to
PDB format. The first model was used as the reference structure, and CΞ± atoms were extracted
for alignment based on overall structure. Subsequently, the average position of each atoms was
calculated and used as the reference point for computing the root mean square fluctuation across
the entire set of models. It is defined as:
π
πππΉπ = ββ βππββ (π‘) β π π,ππ£πβ
2π
π‘=1
π
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Where: π
πππΉπ is the Root Mean Square Fluctuation of atom π; ππββ (π‘) is the coordinate vector of
atom π in model π‘; π π,ππ£π is the average coordinate vector of atom π; π is the total number of models
under one condition). βππββ (π‘) β π π,ππ£πβ is the Euclidean distance between atom π in model π‘ and its
average position.
ChiLife used for in silico spin labeling
Given the hundreds of models generated by AF3 in our study, we investigated the
simulated distance distributions of the IF, OC, and OF conformation ensembles. The results were
compared to distance distributions simulated by MDDS for cryo -EM structures, as well as
experimental DEER data.
Briefly, the chiLife Python package (50) was applied to calculate ensemble distance
distribution through in silico modeling of site -directed spin labels (SDSL). The class method
xl.SpinLabel.from_mmm was employed to create spin label objects using data generated by the
MATLAB program MMM (Multiscale Modeling of Macromolecules), which applies a rotamer library
approach to predict spin label conformations. We utilized the common nitroxide spin label R1M
along with MDAnalysis universe objects for site -directed spin labeling and mol ecular dynamics
trajectories analysis.
The extracellular spin labeling sites for BmrCD, MsbA, and Pgp are 55 BmrC/146BmrD,
158/158, 96/749, respectively; while the intracellular sites were 96 BmrC/188 BmrD, 103/103, 149/791,
respectively. The conditions us ed for chiLife analysis of BmrCD include apo, 1Mg 2+/2ATP, and
2Mg2+/2ATP; for Pgp, the conditions were apo and 2Mg 2+/2ATP; for MsbA, the conditions were
apo, 1ATP, and 2ATP. For each condition, 500 models were used for simulated distance
distribution calculations, which were normalized by probability and plotted in Fig. 5 (shown as
dashed lines).
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Coupling helices switch of BmrCD and TmrAB
Through sequence and structure analysis of BmrCD and TmrAB, the sequences of coupling
helices for BmrC are defined as TMSPPFYEKNRT (residue 103 -114, denoted as C1) and
SGVRVIRAYVQ (residue 206-216, denoted as C2); the sequences of coupling helices for BmrD
are KMPIRYFDNLPA (residue 195-206, denoted as D1) and QGMTIIQAFRH (residue 297-307,
denoted as D2); the sequences of coupling helices for TmrA are RLHPGFYDRNPV (residue 119-
130, denoted as A1) and SGVETIQLFVK (residue 221 -231, denoted as A2) ; the sequences of
coupling helices for TmrB are TLDRDFYHKHRV (residue 104 -115, denoted as B1) and
SGIRVVKGYAL (residue 206-216, denoted as B2), respectively. BmrCD12BA refers to BmrCD
where the coupling helices C1 and C2 were replaced with B1 and B2, resp ectively; and the
coupling helices D1 and D2 were replaced with A1 and A2, respectively. Meanwhile,
BmrCD12BA-C1 is BmrCD12BA, but with C1 unchanged. Similarly, BmrCD12BA -C2,
BmrCD12BA-D1, BmrCD12BA-D2 were engineered based on BmrCD12BA, but with C1, D1, and
D2 unchanged respectively. BmrCD12AB refers to BmrCD with the coupling helices C1 and C2
replaced by A1 and A2, respectively while D1 and D2 were replaced by B1 and B2, respectively
(see Table 4 for more details).
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Author contributions
Q.T. prepared all input JSON files for AF3 predictions, performed all AF3 predictions for
chimeric proteins, conducted non -templated predictions using the online AF3 server,
carried out all data analysis, and prepared the figures. T.W. performed the subsampling.
B.S. conducted template-based AF3 predictions for the wild-type type IV ABC transporter
using a local installation. Q.T. and H.S.M. designed the research, analyzed and
interpreted the results, and wrote the manuscript with input from all authors.
Funding
This work was supported by National Institutes of Health grant 3R35GM152382 to H.S.M.
Competing interests
Authors declare that they have no competing interests.
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19
Table 1. TM-scores and RMSD values between the cryo-EM structures and
representative AF3 models.
Cryo-EM structure AF3 model TM-score* RMSD (Γ
)*
BmrCD
IF (8FMV) BmrCD_IF_AF3 0.97 1.83
OC (8T1P) BmrCD_OC_AF3 0.98 1.67
OF (9CUS) BmrCD_OF_AF3 0.99 1.30
TmrAB
IF (6RAN) TmrAB_IF_AF3 0.93 3.17
OC (6RAI) TmrAB_OC_AF3 0.94 2.84
MsbA
IF (5TV4) MsbA_IF_AF3 0.93 3.33
OC (5TTP) MsbA_OC_AF3 0.94 2.76
OF (8DMM) MsbA_OF_AF3 0.99 1.25
Pgp IF (6QEX) Pgp_IF_AF3 0.92 3.47
OF (6C0V) Pgp_OF_AF3 0.98 1.62
Note: * TM-score and RMSD were calculated by MM-align(51) (for BmrCD, TmrAB, and
MsbA) and TM-align(52) (for Pgp).
Table 2. TM-scores and RMSD values between the cryo-EM structures and
intermediate AF3 models.
AF3 model Cryo-EM structure TM-score* RMSD (Γ
)*
BmrCD
Intermediate 1
(1Mg2+/2ATP, OC)
IF (8FMV) 0.83 5.19
OC (8T1P) 0.99 1.67
OF (9CUS) 0.94 2.99
Intermediate 2
(1Mg2+/2ATP,
Asymmetric OC)
IF (8FMV) 0.89 3.82
OC (8T1P) 0.93 3.19
OF (9CUS) 0.89 4.02
MsbA
Intermediate 1 (1ATP,
OC)
IF (5TV4) 0.75 6.56
OC (5TTP) 0.95 2.55
OF (8DMM) 0.93 3.38
Intermediate 2 (1ATP,
IF)
IF (5TV4) 0.94 2.92
OC (5TTP) 0.69 6.61
OF (8DMM) 0.68 7.79
Pgp
Intermediate 1
(2Mg2+/2ATP, OC)
IF (6QEX) 0.85 5.14
OF (6C0V) 0.93 3.10
Intermediate 2 (1ATP,
IF)
IF (6QEX) 0.92 3.58
OF (6C0V) 0.83 5.10
Note: * TM-score and RMSD were calculated by MM-align(51) (for BmrCD, TmrAB, and
MsbA) and TM-align(52) (for Pgp).
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20
Table 3. TM-scores and RMSD values between the cryo-EM structures and
intermediate AF3 models of BmrCD.
AF3 model Cryo-EM structure TM-score* RMSD (Γ
)*
BmrCD
1Mg2+/2ATP
IF IF (8FMV) 0.97 1.96
OC (8T1P) 0.84 5.05
OF (9CUS) 0.80 5.70
OC IF (8FMV) 0.83 5.19
OC (8T1P) 0.99 1.67
OF (9CUS) 0.94 2.99
Asymmetric OC IF (8FMV) 0.89 3.82
OC (8T1P) 0.93 3.19
OF (9CUS) 0.89 4.02
OF IF (8FMV) 0.70 6.37
OC (8T1P) 0.96 2.64
OF (9CUS) 0.98 1.57
SemiOF IF (8FMV) 0.78 5.90
OC (8T1P) 0.98 1.72
OF (9CUS) 0.97 2.05
Note: * TM-score and RMSD were calculated by MM-align(51).
Table 4. Coupling helices switch of BmrCD and TmrAB
TmrA_CH1 (A1)/
BmrC_CH1 (C1)
TmrA_CH2 (A2)/
BmrC_CH2 (C2)
TmrB_CH1 (B1)/
BmrD_CH1 (D1)
TmrB_CH2 (B2)/
BmrD_CH2 (D2)
Rest part
WT TMSPPFYEKNRT SGVRVIRAYVQ KMPIRYFDNLPA QGMTIIQAFRH BmrCD
CD12BA TLDRDFYHKHRV SGIRVVKGYAL RLHPGFYDRNPV SGVETIQLFVK BmrCD
CD12BA-C1 TMSPPFYEKNRT SGIRVVKGYAL RLHPGFYDRNPV SGVETIQLFVK BmrCD
CD12BA-C2 TLDRDFYHKHRV SGVRVIRAYVQ RLHPGFYDRNPV SGVETIQLFVK BmrCD
CD12BA-D1 TLDRDFYHKHRV SGIRVVKGYAL KMPIRYFDNLPA SGVETIQLFVK BmrCD
CD12BA-D2 TLDRDFYHKHRV SGIRVVKGYAL RLHPGFYDRNPV QGMTIIQAFRH BmrCD
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21
Fig. 1 RMSD analysis of models predicted by MSA subsampling of AF3.
For BmrCD, MsbA, Pgp, and TmrAB, subsampling was applied with Neff of 5 and without
ligands, running for 100 iterations with random seeds. Each iteration generated 5 models. The
distribution of models across conformational states for each transporter was determined by
RMSD analysis using MMalign/TMalign against the reference cryo-EM structures. Reference
PDB IDs: BmrCD (IF: 8FMV, OC: 8T1P, OF: 9CUS), MsbA (IF: 5TV4, OC: 5TTP, OF: 8DMM),
TmrAB (IF: 6RAN, OC: 6RAI, OF: 6RAH), Pgp (IF-wide: 3G5U, IF-narrow: 6QEX, OF: 6C0V).
RMSD analysis was performed with Origin software (bin size equals to 0.5 Γ
).
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22
Fig. 2 Representative models of IF, OC, and OF conformations predicted by AF3.
Ribbon representations of the different conformations are shown for BmrCD (a), TmrAB (b),
MsbA (c), and Pgp (d). For each transporter, the upper panels show the reference cryo-EM
structures, and the lower panels show AF3 predicted models selected by Foldseek (See
Methods
for more details). AF3 did not predict an OF conformation for TmrAB. Relevant PDB
IDs for the cryo-EM structures are indicated. Subunits BmrD, TmrB are shown in tan color, one
protomer of MsbA is shown in grey color, all other subunits are shown in light sea green color.
Ligands are omitted for clarity.
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23
Fig. 3 RMSD analysis of AF3 predictions for BmrCD and TmrAB in the presence of
combinations of nucleotide and Mg2+.
AF3 predictions were performed for BmrCD and TmrAB under four nucleotide conditions: apo,
1Mg2+/2ATP, 2Mg2+/2ATP, and 2Mg2+/1ATP1ADP. For each condition, 500 models were
generated using random seeds. RMSD values for the models in each condition were calculated
with MMalign by aligning them to the reference cryo-EM structures of IF, OC, and OF
conformations. The resulting RMSD distributions for the IF, OC, and OF are shown in grey, blue
and red, respectively. Reference PDB IDs: BmrCD (IF: 8FMV, OC: 8T1P, OF: 9CUS), TmrAB
(IF: 6RAN, OC: 6RAI, OF: 6RAH).
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24
Fig. 4 RMSD analysis of AF3 predictions for MsbA and Pgp in the presence of
combinations of nucleotide and Mg2+.
AF3 predictions were performed for MsbA under apo, 2ATP, 2Mg2+/2ATP, and
2Mg2+/1ATP1ADP conditions, and for Pgp under apo, 1Mg2+/2ATP, 2Mg2+/2ATP, and
2Mg2+/1ATP1ADP conditions. For each condition, 500 models were generated using random
seeds. RMSD values for the models in each condition were calculated by aligning them to the
Reference
cryo-EM structures of IF, OC, and OF conformations using MMalign for MsbA and
TMalign for Pgp. The resulting RMSD distributions for the IF, OC, and OF are shown in grey,
blue and red, respectively. Reference PDB IDs: MsbA (IF: 5TV4, OC: 5TTP, OF: 8DMM), Pgp
(IF-wide: 3G5U, IF-narrow: 6QEX, OF: 6C0V).
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25
Fig. 5 Model validation using cryo-EM structures and DEER spectroscopy.
Predicted models were validated by comparing simulated distance distributions to experimental
DEER data for the spin-labeling sites on the extracellular (left panels) and intracellular (right
panels) sides of BmrCD, MsbA, and Pgp. Spin-labeled pairs 55/146 and 96/188 are denoted for
55BmrC/146BmrD and 96BmrC/188BmrD, respectively. For each pair, the shaded area represents the
distribution simulated from cryo-EM structure using MDDS. Residue 96 was not visible in cryo-
EM structure of hPgp (PDB ID: 6C0V), precluding prediction of distance distributions. The
dashed line shows the distribution simulated from the corresponding ChiLife models, and the
solid line shows the experimental DEER distribution.
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26
Fig. 6 Distinct conformational transitions revealed by the CΞ±-CΞ± distance analysis in
BmrCD, MsbA, and Pgp.
(a) Close-up views highlight the residue pairs on the extracellular side (upper panels) and
intracellular side (lower panels) of BmrCD (left panels; PDB ID: 8FMV), MsbA (middle panels;
PDB ID: 5TV4), and Pgp (right panels; PDB ID: 6QEX). Transmembrane domain (TMD) helices
are shown as cylinders; NBDs or ECD (in BmrCD) are shown in transparent surfaces. The
residue pairs are indicated with raspberry spheres. The color scheme is consistent with Fig. 2.
(b) Distribution plots of the CΞ±-CΞ± distances of the residue pairs on the extracellular side (upper
panels) and intracellular side (lower panels) of BmrCD (left panels), MsbA (middle panels), and
Pgp (right panels). Data for six ligand conditions (apo, 1ATP, 2ATP, 1Mg2+/2ATP, 2Mg2+/2ATP,
and 2Mg2+/1ATP1ADP) are plotted for each pair. The dashed lines indicate the distance derived
from the cryo-EM structures of the corresponding protein in its IF and OF conformations.
Distribution analysis was performed with Origin software (bin size equals to 1 Γ
; data height is
calculated by Relative Frequency).
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27
Fig. 7 Intermediate states of BmrCD sampled out by AF3.
(a) RMSD plot for the 1Mg2+/2ATP condition of BmrCD. Conformations were classified into five
groups based on CΞ±-CΞ± distances analysis of the extracellular and intracellular sides: IF (grey),
OC (blue), Asymmetric OC (cyan), OF (red), and SemiOF (tan). The representative model for
each group selected by Foldseek is highlighted with a black circle and shown as cartoons in the
right panels with Mg2+ depicted as spheres and ATP as sticks. (b) Comparison of the
asymmetric OC and OC. Left panel: Superposition of the two structures. Right panels:
Distances between the ABC motifs and ATP at the degenerate NBS (upper), and distances
between the ABC motifs and ATP or ADPVi at the consensus NBS (lower) in the asymmetric
OC and OC conformations. Relevant distances are indicated, and ligands are labeled with Mg2+
depicted as spheres and ATP as sticks. Asymmetric OC and OC conformations are shown in
light sea green and grey, respectively. (c) Comparison of the semiOF and OF conformations.
Left panel: Superposition of the semiOF and OF conformations aligned on BmrD reveals a
smaller opening angel at the extracellular side in the semiOF. Ligands and the residues used for
measurement are labeled. Upper-right panel: A top view of the extracellular side of TMD shows
tighter closure of the helices in the semiOF, with large movements indicated by red arrows.
Lower-right panel: Close-up view of the Trp290BmrD-His338 BmrD (WH) latch. The distance of
W290 and H338 in the semiOF (6 Γ
) is similar to that in the two Hoechsts-bound, inward-facing
conformation (7 Γ
, PDB ID: 8FMV). Relevant distances are indicated and Mg2+ is depicted as
spheres and ATP as sticks. SemiOF and OF conformations are shown in tan and grey,
respectively.
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28
Fig. 8 Structural fluctuation evaluated by RMSF analysis of predicted models. (a) RMSF
plots (left panels) and their putty representations (right panels) for different conformations of
BmrCD, MsbA, TmrAB, and Pgp. The conditions with dominant IF, OC, or OF conformations are
selected for analysis. Both BmrCD and MsbA sampled IF, OC, and OF conformations. TmrAB
sampled only IF and OC while Pgp sampled only IF and OF confirmations. (b) Experimental B-
factor putty representations from cryo-EM structures. The B-factors from the corresponding
experimental cryo-EM structures are shown for comparison. The structures are the same as
those in Fig. 2.
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29
Fig. 9 Replacement of the coupling helices in BmrCD increases the population of the
OC conformation. (a) CΞ±-CΞ± distance measurements for the residue pairs on the extracellular
(55BmrC/146BmrD) and intracellular (96BmrC/188BmrD) sides of BmrCD chimera with replaced
coupling helices. (b) Validation of the chimeric BmrCD models. The experimental DEER
distributions (solid lines) are compared to the simulations from ChiLife models (dashed lines)
and from cryo-EM structures via MDDS (shaded areas). (c) Histogram of the percentage of OC
conformation in the chimeric BmrCD. (d) Phylogenetic analysis of the coupling helices from
BmrCD and TmrAB. Multiple alignment and phylogram construction were performed using
Clustal W. The scale bar indicates the substitution rate per site.
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30
Fig. 10 Replacement of the coupling helices in TmrAB sampled the OF state. (a) CΞ±-CΞ±
distance measurements for the residue pairs on the extracellular (70TmrA/60TmrB) and intracellular
(112TmrA/97TmrB) sides of TmrAB chimera with replaced coupling helices. (b) Histogram of the
percentage of OF conformation in the chimeras of TmrAB.
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