Keywords
protein design, assembly, nanomaterials
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Abstract
The nanofabrication of functional protein -based surfaces is challenging due to the
chemical complexity of proteins and their unpredictable behavior at the solid-liquid
interface. Many proteins of interest –such as antibodies or large enzymatic complexes –
lack strong and dynamic protein -protein and protein -surface interactions necessary to
drive self-assembly of stable arrays with high surface coverage. Additionally, adsorption-
induced conformational changes at the solid-liquid interface could lead to a loss of activity
and increase the risk of undesirable interfacial processes. Here we introduce SAKe, a
kelch-like designer protein, as a versatile platform to address these challenges. Ancestral
sequence reconstruction led to high t hermal stability, and the high symmetry allowed
modularity of the protein’s core. Rational engineering of the bottom side allowed SAKe to
form large (up to 5 micrometers in length ), well-defined and pH -dependent two-
dimensional assemblies while maintaining structural integrity , wh ich is key for further
development of functional materials. SAKe self-assembly was investigated through in -
liquid atomic force microscopy on muscovite mica. High resolution imaging confirmed the
integrity of the SAKe protein upon adsorption on the solid -liquid interface. These results
showcase the SAKe protein as a platform for the further engineering of functional protein-
based two-dimensional materials.
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Introduction
Nanotechnology aims to achieve precise control over functional nanomaterials at the
atomic scale.1 Biological systems, particularly proteins, offer a promising starting point
due to their chemical variability. Common strategies to functionalize relevant surfaces
such as muscovite mica and graphene are direct adsorption or covalent linkage to
reactive moieties such as thiols, amines or carboxylic groups.2–6 For example, the group
of Duncan covalently immobilized plasma fibronectin onto polystyrene via thiol or amine
groups. While this resulted in improved chemical stability, it did not produce a well -
organized protein layer , illustrated by high heterogeneity in the z -plane.5 To improve
spatial control over the localization of reactive groups on the surface, a scaffolding protein
layer can be used. A well-studied model system of this kind is the S-layer protein (SLP).6–
8 S-layer proteins re adily form two -dimensional arrays with tunable periodicity . These
proteins have been successfully used for the functionalization of surfaces with both
biomolecules and inorganic materials such as metal nanoparticles.9
While covalent linkage results in great stability of the proteins at the interface, it relies on
highly reactive groups that are broadly distributed on the protein surface. Such little
control over the interaction between the protein and the interface leads to unpredictable
and heterogeneous protein orientation at the solid -liquid interface, which relates to low
surface coverage.5,10,11 Moreover, covalent attachment of proteins at interfaces directly
impacts a key determinant of crystallinity at the solid -liquid interface. Covalent bonds
prevent molecular diffusion and molecular rearrangement on the surface, impeding
proteins from adopting the correct orientation with respect to nucleation sites, thereby
hindering the growth of defect -free crystalline arrays .12 The need of such dynamic
behavior is clearly seen in the formation of SLP arrays. The group of Magalí described
such dynamic behavior imaging three different phases for the formation of a crystalline
layer of SLP on muscovite mica. They reported that initially proteins are randomly
adsorbed on the surface, then the nucleation sites start growing reaching a final stage
where proteins suff er a conformational change to stabilize the assemblies. These
processes required up to one hour to reach the final stable assembly.13
Physisorption of the proteins onto the surface , on the other hand, often leads to protein
denaturation as well as heterogeneity of possible protein orientations at the solid -liquid
interface; especially when using hydrophobic surfaces .14,15 The group of Craighead
directly adsorbed ConA (a lectin protein) on graphene. This immobilization resulted in the
loss of the binding capacity to oligosaccharides.10 Thus, showcasing how arbitrary
orientation of the proteins at the interface limits accessibility of their functional sites .
Additionally, inefficient surface coverage and protein unfolding leave open areas for non-
specific interactions which may decrease the sensitivity of biosensing, or lead to
undesired by-products in catalysis.6,14–16
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Rational p rotein engineering can increase surface coverage and homogenize protein
orientation. For example, the group s of Tezcan and Zhan achieved highly symmetrical
protein assemblies by introducing disulfide bonds or metal coordination sites to L -
Rhamnulose-1-phosphate aldolase and tobacco virus coat protein respectively.17,18 Ju
Song and coworkers used non-canonical amino acids to drive protein self-assembly. 2D
crystals were assembled in solution by placing bipyridyl -alanine groups at geometrically
interesting positions in a D3 homohexamer .19 Lastly, efficient protein surface assembly
can be achieved by computational redesign of either protein-protein interfaces or protein-
surface interfaces. This was demonstrated by the design of an α -helical repeat protein
capable of highly efficient self-assembling on mica by the Baker group.20,21
A common trait in rationally designed self -assembling systems is the use of protein
symmetry. Near-perfect symmetry is commonly found in proteins and especially in
oligomers.22–24 It is hypothesized that symmetry facilitates protein folding and has a strong
correlation with protein function. The geometry of protein complexes can be controlled by
tuning the symmetry of the building blocks.22,25–27 Symmetric placement of protein contact
points largely facilitates the interaction between molecules as well as reduces the
possible conformations that proteins can adopt within the complex.25
While protein engineering has made significant advances in the nanofabrication of two -
dimensional materials, current approaches still depend on complex protein modifications
or on the use of intermediate molecules and/or scaffolding proteins to achieve high
surface coverage. Despite intensive effort, protein scaffolds capable of forming densely
packed two-dimensional arrays combined with the ability to implement a desired function
remain underexplored.
Our group previously designed and engineered a fully symmetric beta propeller, Pizza.28
This scaffold was further engineered for polyoxometalate coordination ,29 metal-free
catalysis30 as well as to scaffold the crystallization of salt nanocrystals.31 Despite these
varied applications, the application potential of Pizza was limited given the lack of a large
flexible protein surface. Following the same design principles used in the engineering of
Pizza,28 a new pseudo-symmetric protein scaffold was used as a starting point, this time
targeting proteins mediating protein-protein interactions as their natural function.
Here, we report on the computational design and biophysical characterization of a
modular protein building block (SAKe) inspired by the kelch protein family. SAKe proteins
were designed as candidate proteins for achieving this dual requirement of self-assembly
and function . These proteins not only show great self -assembling properties both in
solution and on surface but also can tolerate extensive mutations to further develop them
into functional building blocks.
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Results
AND DISCUSSION
Design and characterization of the SAKe Protein Scaffold
The Kelch folding domain was used as a starting point for the design of a stable symmetric
scaffold. Kelch repeat proteins are β -propeller proteins composed of 6 nearly identical
tandem sequence repeats that each fold into four -stranded anti-parallel sheets (referred
to as blades) around a central cavity.32,33 While the core of these blades is well conserved,
the top-side loops vary both in sequence and length (Figure 1), influencing the protein's
function. The majority of natural Kelch domains modulate protein -protein interactions
(PPIs), especially in humans as an adaptor protein of the CUL3 complex.34 However, the
loops which mediate the protein interactions as observed in the CUL complexes on some
Kelch domains are also found to harbor an enzymatic site, demonstrating the versatility
of this protein fold.32,33,35
The Kelch domain of the Keap1 protein was selected as the starting point for proteins
design as RADAR analysis 36 revealed it to consist of the most conserved repeats of all
crystalized Kelch domains exhibiting a highly symmetrical tertiary structure. Proteins with
a high degree of symmetry have not only been shown to have superior stability to their
non-symmetric counterparts, but it has shown also to play a key role in molecular self -
assembly.25,37,38 Designing symmetrical building blocks is important as the number of
available contact points to drive and stabilize the complex increases equally around the
molecule. This is key as the structure of the final oligomer is often determined by the initial
seeding of the monomers.37,39,40
Next, an ensemble of SAKe proteins was generated from the human Keap1 β -propeller
using the RE3Volutionary design procedure (Figure 1).28 Because the Keap1 template is
composed of blades carrying loops of three different lengths, Rosetta symmetry docking
was used to generate three different C 6 symmetry starting backbones .41 All models
retained a velcro closure type identical to the parent Keap1 protein42 (Figure S1).
Initially, the backbones from the 2 nd and 6 th blades of the Keap1 kelch domain were
chosen to generate the type A and type B SAKe backbones, respectively. These two
blades were chosen as initial design backbones since they accommodate the most
common loop length (six amino acids) observed in human propellers. This way, the two
most common loop lengths of the Keap1 kelch repeats could be incorporated into the new
SAKe designs: ten amino acids for type A SAKe (S6A) and six for type B (S6B)s.
Three different S6A (S6AE, S6AR and S6AC) and S6B (S6BE, S6BR and S6BC)
scaffolds were selected for experimental evaluation. The appended letters refer to the
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selection criterium used: Rosetta Talaris2013 energy score (E) ,43 RMSD deviation from
the idealized symmetric backbone architecture (R), or a combined rank score from
criterium E and R (C). Analysis of the energy landscapes after RE 3Volutionary design
showed that the original Keap1 repeat sequences had worse scores compared to most
inferred sequences.
All six proteins were successfully expressed and purified from E. coli BL21 (DE3) and
circular dichroism (CD) spectroscopy showed spectra matching that of the parent
template Keap1 β -propeller (Figure S2) . We identified a positive 233 nm CD signal,
representing tertiary structure features, that was used to derive SAKe's melting
temperatures. The results show exceptional thermal stability, with S6BE exhibiting a
melting temperature (T m) of over 95 °C. This is significantly higher than the melting
temperature of the template Keap1 protein (Tm of 44.1 ° C) (Figure 1).
The methodology used for the design of the SAKe backbone relies on ancestral sequence
reconstruction. This method is known for yielding very stable proteins as it biases the
sequence reconstruction on structurally relevant amino acids. Repetition of such
sequences into a symmetric globular protein explains the increase in thermal stability of
the different SAKe scaffolds respectively to their natural counterpart (Keap1).28,44–47
In order to confirm correct folding of the SAKe proteins, all purified proteins were
subjected to crystallography. All proteins crystallized within days, diffracted with a
resolution ranging from 1.3 to 1.95 Å and were successfully phased with their design er
templates, confirming in this way the accuracy of the initial predictions (Figure S3).
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Figure 1: SAKe design strategy. The six blades of Keap 1 kelch domain (1ZGK) were isolated
(A) and used to construct an MSA (B) in order to create a fully symmetrical kelch protein using
the RE3Volutionary method. The B-factors of the different loop lengths indicate the high flexibility
of the loops as the length increases (C). The high stability of the SAKe protein is reflected by very
high melting temperatures. As the loop length increases, the flexibility of the top loops increases,
what notably reduces the thermal stability of the proteins (D).
SAKe loop variability.
Loop modifiability is necessary for designing a protein binding interface, for example
antibody-like protein binders, and for later functionalization of protein -based surface
assemblies.48 To assess loop modifiability, three loop variants of the two most stable C 6
symmetry SAKes: S6AC and S6BE were created.
The L1 loop was created by conserving the intersection of S6A-type and S6B-type loops,
while adding four amino acids. For L2, a larger part of the S6A-type loop was conserved
with the insertion of four amino acids. In both cases, these inserted four AA were randomly
generated following the amino acid occurrence derived from a database of known
nanobody CDR motifs .49 Only sequences containing at least one tyrosine and histidine
were accepted, as these residues are often found to mediate interactions between
antibody and antigen ,50 while symmetric histidine arrangements were used before to
scaffold metals and metaloxo clusters .29,31,51 The resultant sequence motifs are not
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commonly found in the natural human Kelch proteins. L3 describes a 3 -fold symmetric
variant with two long loops of various lengths: The longest loop in the L3 configuration
was extracted from the crystal structure of the Kelch domain of human KBTBD5 .52
S6AC/S6BE-L1, S6AC/S6BE -L2 and S6AC/S6BE -L3 have loop lengths of 9, 12 and
alternating 10 -15 amino acids, respectively. Finally, to assess the influence of loop
composition on protein stability, we also transferred the original S6BE loop to S6AC,
yielding S6AC-LB (Table S1 ). All new variants were successfully purified, and the
structures of S6BE loop variants and S6AC -LB were confirmed via X -ray diffraction
following an identical approach described above (Figure 1).
With a Tm of 51.7 °C, the SAKe with the longest loops (10-15 AA) is still more stable than
the natural Keap1 β-propeller (4-9 AA loops, Tm of 44.1 °C) (Figure 1). The shortest loop
(6AA) shows a Tm exceeding 95 °C and longer loops progressively lower thermostability.
Interestingly, S6AC seemed the most moldable scaffold, retaining high stability even
when carrying the loops which significantly destabilized S6BE (Figure S4). Hence, S6AC
core proved to accommodate a larger range of loops lengths. S6AC was designed from
blade 1 of the Keap 1 protein with a loop length of ten amino acids unlike S6BE which
initial blades contained only six amino acids. This small difference biased the S6AC core
to accept longer loop sequences.
For the continuation of this work we however continued with S6BE as S6AC derivatives
precipitated in a buffer screening experiment at even mildly acidic pH, whereas the S6BE
appeared to crystallize spontaneously.
Engineering of the self-assembling SAKe
While protein crystallization cannot directly point towards protein self -assembly, there is
a strong interplay between self -assembling forces and the crystallization process .53
Particles that self -assemble deliver faster crystal growth as the energy barrier for
nucleation is substantially reduced .54 This idea was exploited to engineer new protein -
protein and protein -surface interfaces for S6BE to improve self-assembly on mica
surfaces.
As a first step to engineer a SAKe protein capable of self-assembling on the mica surface,
the PPIs needed to be understood to find key residues stabilizing such a process. For
this, S6BE was submitted to a pH titration experiment which highlighted t he importance
of neutralizing the protein charge to trigger spontaneous self-assembly. The high order of
symmetry of S6BE together with its high pH stability led to spontaneous assembly of mm
sized crystals in mildly acidic conditions (pH < pI), disassembling only at 1 pH point above
the pI of the protein (Figure 2). The self-assembled crystals showed a hydrogen bonding
network stabilizing lateral contacts (growth on the longitudinal direction) and vertical
contacts (stacking proteins one on top of another). The charge residues at the bottom
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loops (asparagine 30 and aspartic acid 31) stabilized the PPIs laterally interacting with
the backbone of the neighboring protein. At the same time, proteins stack on top of each
other stabilized by the tyrosine 57 at the top loops and the arginine at the bottom loops of
the first blade (and equivalent for the other five blades) (Figure 2). This led to the
hypothesis that introduction of residues favoring surface -based assembly while
preventing this vertical stacking of proteins would favor the formation of monolayers, by
reducing the chances of having a multi -layered assembly or an on -surface adsorbed
crystal.
Histidines are very versatile amino acid s and are often used to drive self -assembly by
metal coordination through the protonated π nitrogen.55–58 Another great trait of histidine
residues is the imidazole ring, which behaves as an aromatic ring and is known to interact
via π - π stacking with surrounding imidazole rings.59–61 These two interaction strategies
are of great advantage when designing a self -assembling system. In the case of the π -
π stacking not being strong enough to drive the self-assembly, metals could be introduced
in the system to trigger the coordination and hence ease the formation of nucleation points.
Therefore, two histidine residues were place d in exchange of the glutamic acid and the
arginine residue creating a bis-his clamp to coordinate Zinc cations in order to gain control
over the self-assembling process of the SAKe protein (Figure 2).
Histidine residues were introduced by stepwise substitution of the residues involved in
the hydrogen bonding with the backbone of the neighboring proteins stabilizing the lateral
interaction (R30 and E31 and subsequent residues for each blade). S6BE -3HH (7OPA)
with substitutions at the bottom protrusions of the 2nd (E76H and R77H), 4th (E170H and
R171H) and 6th (E264H and R265H) blades (C3 rotational symmetry) , and S6BE-6HH
where the substitutions were done at the bottom protrusions of all the blades (C6
rotational symmetry) were designed to optimize the interaction between the proteins and
the mica surface (Figure S6). As a control to investigate whether both histidine residues
are required for the self -assembly on the mica surface of the SAKe protein, two
intermediate mutants were created, where the blades 2nd, 4th and 6th were mutated back
either the first histidine residues (S6BE -3EH) or the second histidine residues (S6BE -
3HR).
The contact points of the S6BE crystals were of electrostatic nature as the protein-protein
interface was stabilized by hydrogen bonds, indi cating a possible charge dependency
(Figure 2). In order to test such hypothesis, the in-solution self-assembling properties of
the new variants (S6BE -3HH, S6BE-6HH, S6BE-3EH and S6BE -3HR) and S6BE were
tested through dialysis experiments conducted at various pH values. The pH at which
S6BE and S6BE -3HH assembled was found to be around 4 and 4.5 for S6BE -6HH.
Notably, S6BE-3HH crystals required a week to grow, while the others assembled within
a day (Figure S5). This delay in crystal growth could be attributed to the loss of the
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rotational symmetry and hence a higher entropy change upon assembly .62 The S6BE
crystals remained stable up to pH 5 while the crystals of S6BE -6HH remained up to pH
7. This difference on the disassembling pH could be understood from two fronts. First, the
isoelectric point of S6BE-6HH is one point higher than that of S6BE. In a system that is
highly controlled by the electrostatics of the monomers, maintaining charge neutrality
increases the likelihood of monomers interacting in a stable manner. Second, replacing
two charged residues (the asparagine and glutamic acid) at the sides of the proteins by
histidines which remain neutral at pH 7, reduces the electrostatic repulsion and increases
the pH of disassembly.63
Figure 2: Design of the self -assembling variants: Dialysis experiments showcasing the pH
sensitivity of S6BE crystallization and the pH sensitivity of the assemblies (A). Similarly to (7ONC)
a P1 symmetry was obtained, where proteins form hydrogen bonding laterally but also vertically.
The electrostatic surface at pH 4 (left) and pH 5.5 (right) are displayed (B). Based on the contact
points of the S6BE crystals, 4 different SA variants were designed. Histidine residues were
introduced in the 2 nd, 4th and 6 th blade or in all blades (C). Schematic representation of the p3
intended monolayer 2D lattice. When the crystals formed at pH 4 were studied, a C121 symmetry
was obtained, where proteins interacted laterally similar as in 7ONE, but also vertically, this time
through the top loops.
Still, both proteins readily reassembled upon lowering the pH again, highlighting the
reversibility. To study the interactions driving the self -assembly, the crystals were
analyzed using X -ray diffraction (Figure S11). The packing arrangement was nearly
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identical to the one obtained with vapor diffusion at pH 7.0 and at pH 8.0 for S6BE (PDB
7ONE).
The symmetry and dipole -like character of S6BE along with the shape complementarity
likely facilitated self-assembly into a tightly packed hexagonal structure where a network
of hydrogen bonds and hydrophobic interactions further stabilizes the assembly. A s pH
increases above the pI of the proteins, residues Asp11, Asp23, Glu20, Glu28 and His15
(and the equivalent for the other blades) will lose the protonation state and the negative
net charge of the protein is restored, triggering disassembly.
One of the engineered contact points was a hydrogen bond between the arginine residue
and the backbone of the neighboring protein. This hydrogen bond was expected to not
be altered by the change of pH as the p Ka of the side chain of the arginine residue is
around 10. Hence, in order to test whether both residues, the glutamic acid and the
arginine were required to be mutated off, two intermediate SAKe mutants were designed,
S6BE-3EH and S6BE -3HR (Figure S6). These new mutants were submitted to the
dialysis experiment as well and followed a similar trend as their parent protein. This time,
the crystals could only be visualized after 48h incubation at pH 4. These crystals, for either
protein, dissolved at pH 5 .5 agreeing with the hypothesis of a pH driven crystallization
(Figure S5). These results indicate that the high order symmetry of the SAKe scaffold is
sufficient for the formation of the crystals. The addition of double histidine moieties in each
blade su bstantially increases the stability of these crystals and renders them less
sensitive to pH variations. Moreover, the ir introduction was expected to impact the
interaction between the protein and the mica surface, having a key effect on stabilizing
the assemblies on the surface.
Metal-induced self-assembly
Metal-mediated protein self -assembly is not a new technique. It is commonly found in
nature55,56 and has been used by many to engineer new PPIs points in protein building
blocks. Working with a symmetric protein it is theorized to bring an advantage when it
comes to engineering these new metal -mediating points, as it substantially reduces the
search space for designing metal coordination points.
Metals offer a list of benefits when compared to noncovalent interactions. Metal
coordination bonds are deemed to be of stronger nature and highly controllable when
working with metals like Zn 2+. Moreover, they offer a certain degree of directionality
implied by the coordination geometry preferred by the metal, which is advantageous when
designing protein assemblies.
Bis-his clamps were introduced in order to coordinate Zn 2+ with the purpose of forming
open honeycombs on the mica surface (S6BE-3HH) (Figure 2). The effect of adding zinc
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cations was first studied by dynamic light scattering (DLS) to assess how long and at
which ratios bigger molecules would form (Figure S7). As metal coordination is pH -
sensitive, three different values were used in these experiments, pH 5, 6 and 7 (Figure
S7). These values were chosen as beneath pH 5 already led to the formation of crystals
in solution, so the appearance of peaks representing larger complexes would not indicate
a direct effect of metal coordination. Another reason is that the histidine residues need to
be neutral in order to coordinate metal cations .64,65 When zinc nitrate was added in the
solution, there was a clear formation of large complexes already after 10 minutes
incubation time. It is worth mentioning that at 1:1 ratio, a large fraction of protein remained
in the monomer state, most likely due to insufficient number of metal cations to interact
with the proteins. S6BE-3HH has, potentially, three coordination points per protein. At a
ratio of 1:1, not all these coordination points will be occupied. At excess of metal cations,
it is more clear how proteins start to easily coordinate these metals and form what could
be protein aggregates or p rotein assemblies. To invest igate whether these
macrostructures were ordered, the 1:20 excess metal condition was visualized in the AFM
(Figure S8). A protein concentration of 16 µM led to direct aggregation and so, the protein
concentration was reduced to 1 µM to perform the analysis. After 20 minutes of incubation
(the time required to prepare the solution and to calibrate the AFM parameters), the
surface exhibited no discernible order, indicating the formation of protein aggregates
rather than protein assemblies. Interestingly, the control experiment led to the formation
of ordered assemblies on the surface , what prompted the hypothesis that metal
coordination was not necessary for the self-assembling of the SAKe proteins.
On surface self-assembly
On-surface assembly on mica was investigated through amplitude -modulated atomic
force microscopy (AFM). Since pH was anticipated to act as the self -assembly trigger,
protein deposition was carried out using solutions spanning a pH range from 4 to 7.
S6BE showed a large number of proteins adsorbed onto the surface at pH 4, although no
ordered assemblies were observed. At pH 7, no adsorbed protein was detected, most
likely due to electrostatic repulsion between the negatively charged protein and the
negatively charged mica substrate.
In contrast , S6BE -3HH and S6BE -6HH exhibited enhanced on-surface self-assembly.
Unlike S6BE, both variants formed assemblies on the substrate, though with distinct
features.
For S6BE-3HH, self-assembled arrays were observed across all tested pH values except
pH 6 , which is slightly above the isoelectric points of S6BE -3HH (5.32) . Notably, the
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arrays observed at pH 7 exhibited more uniformity, with most proteins oriented along their
vertical axes, an interaction that is showcased by the fiber -like structures imaged at the
surface. At pH 4 and 5, the arrays imaged did not exhibit long-range order nor uniformity.
This diversity on morphologies highlights the critical role of electrostatic interactions. In
the case of pH 7 favoring radial over tangential growth, while at pH 4 and 5 the re is no
clear preference of growth ( Figure 4). As discussed for S6BE, the protonation state of
the protein governs the strength of the interaction between the proteins and the mica
surface. Protonation of Nπ and N τ nitrogens is expected to stabilize the protein on the
mica surface by interacting with the negatively charged hydroxyl groups. With increasing
pH, deprotonation of these nitrogens weakens the protein –surface interaction, thereby
limiting the formation or stabilization of ordered assemblies on the surface. The necessity
of this double histidine moiety for the formation of assemblies is showcased by the lack
of assemblies found on the mica surface for S6BE -3EH and S6BE -3HR (Figure S9).
These two proteins failed to form assemblies on the surface while crystals successfully
formed on solution at pH 4. S6BE-3EH does not have the first histidine mutation which is
expected to point towards the mica interface, stabilizing the proteins and the assemblies
on the surface. S6BE-3HR on the other hand has a relatively large and flexible residue at
the interface between neighboring proteins, destabilizing the PPIs and hence reducing
the stability of the assemblies on the surface as the degrees -of-freedom of the proteins
are reduced.
In contrast to S6BE -3HH, S6BE-6HH formed extended hexagonal assemblies at pH 4
and 5 that were readily visualized and resulted in high surface coverage. Upon increasing
the pH to 6, these assemblies began to deteriorate and completely disappeared at pH 7
(Figure 4). The observed structures followed the packing geometry anticipated from the
design of the self-assembling variants (Figure 5). The proteins most likely anchor to the
mica surface via their bottom loops, while lateral interactions between the protein sides
establish the contact points that stabilize the lattice. This arrangement would promote on-
surface assembly with the top loops exposed to the solvent, rendering them accessible
for subsequent functionalization (Figure 5). To achieve sub-monolayer coverage of the
mica surface, the protein concentration was reduced to 0.01 uM, which is 100-fold lower
than the working concentrations used for S6BE and S6BE -3HH, further highlighting the
robustness and stability of the S6BE-6HH assemblies on the surface (Figure S10).
Interestingly, the on-surface assemblies do not fully mirror the trends observed in solution.
Although increasing the pH beyond the protein’s pI markedly affects the overall charge ,
producing pronounced effects for S6BE and S6BE -6HH, the loss of protein –surface
interactions, and thus on -surface self-assembly, occurs at lower pH values than those
required to disrupt assembly in solution. With respect to assembly kinetics, no discernible
differences were observed between S6BE -3HH and S6BE -6HH. For both variants,
assemblies formed within the first 10 minutes (corresponding to the time needed for AFM
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cantilever calibration) and remained stable throughout imaging. However, the two -
dimensional assemblies formed by S6BE -3HH do not replicate the crystalline lattice
observed in its self -assembled crystals, whereas those formed by S6BE -6HH closely
resemble the lattice architecture obtained in the crystalline state (Figure S11, S12).
Figure 4: SAKe self -assembly on muscovite mica: Overview of AFM topography images
acquired on muscovite mica for S6BE, S6BE-3HH, and S6BE -6HH at progressively increasing
pH values (pH 4 – pH 7), highlighting the critical role of the presence and protonation state of the
incorporated histidine residues in governing on-surface assembly. The scale bar is 50 nm length.
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As only single-layer assemblies are observed, with no evidence of multilayered or overlaid
crystal precipitation, it’s unlikely that these on-surface assemblies are the result of the
precipitation of preformed crystals in solution (Figure S1 2). Moreover, if crystal
precipitation was the dominant mechanism , S6BE would be expected to form large
assemblies, which is inconsistent with the experimental observations (Figure 4).
Figure 5: High resolution imaging and assembly mechanism on Mica: High resolution
images of assemblies of S6BE -6HH on muscovite mica showcasing the vast surface coverage
as well as the lattice periodicity . The scale bars in the figure represent from left to right 200, 50
and 20 nm respectively (A). Independent domains were consistently found on the surface arising
from different directions of growth . Scale bar represents 50 nm (B). Analysis of the lattice
periodicity shows unit vectors characteristic of C6 symmetry, with a repeat distance corresponding
to the dimension of a single protein. These experimentally derived vectors are in agreement with
those predicted by the structural model (C-F). A schematic representation illustrates the proposed
interaction between the mica surface and the histidine residues located in the bottom loops of
S6BE-6HH, highlighting their role in anchoring and stabilizing the on-surface assembly (G).
The proposed mechanism underlying SAKe protein self -assembly extends beyond
protein–protein interactions (PPIs) and incorporates a crucial contribution from protein –
surface interactions. Muscovite mica becomes negatively charged upon immersion in
aqueous solution due to the desorption of interfacial potassium ions. During overnight
incubation, small protein nuclei are expected to form in solution; these nuclei
subsequently precipitate and interact with the mica surface. This interaction is likely
mediated by the histidine residues engineered on the bottom face of the protein (Figure
S6). Only under conditions where the histidines remain protonated favor (i) stable
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anchoring these nuclei to the surface and (ii) continued adsorption of monomers from the
bulk solution, followed by lateral assembly growth (Figure 4). Because nucleation occurs
randomly across the surface, growing arrays expand outward until they encounter
neighboring domains. When two misaligned arrays meet, a domain boundary is formed
(Figure S13). The templating influence of the surface is further evidenced by the angular
relationship between adjacent domains. A consistent angle of 160° ± 5° is observe d,
reflecting the pseudo -C6 symmetry imposed by the mica lattice (Figure 5). Additional
support for a surface-mediated assembly mechanism is provided by the clear differences
in packing between the S6BE-3HH crystal structure (Figure S11) and the smaller surface-
confined arrays (Figure S12), indicating that the mica substrate modulates the packing
orientation of the protein.
Conclusion
Our design strategy highlights the value of using pseudo -symmetric natural scaffolds for
the design of lattice forming building blocks. The variability of the Kelch fold implies a wide
variety of loop motifs are supported while the bottom remains modifiable for surface
interaction. High-resolution AFM confirmed that addition of surface -facing histidines
successfully formed ordered arrays on muscovite mica (up to 5 µm 2). The intrinsic
symmetry of the SAKe protein together with its charge distribution strongly contributed to
the stabilization a nd the in -solution and on -surface morphology of the assemblies . The
additional modifiability of this scaffold makes it a valuable building block for technologies
such as biosensing or on-surface catalysis.
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Acknowledgements
We thank Prof. Tatjana P. Vogt for granting us use of the CD spectrometer. We thank the
beamline scientists at Diamond Light Source, Swiss Light Source, European Synchrotron
Radiation Facility and Elettra Synchrotron and their scientists for their assistan ce. This
work was supported by Research Foundation Flanders (FWO) (1S89918N, G0F9316N
and G051917N, ZKE-1919-04-W01) and by KU Leuven-Internal Funds (C14/23/090).
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Materials
& Methods
Computational design
SAKe was designed using the RE3Volutionary protein design method28 using the KELCH
domain of human Keap1 (PDB code: 1ZGK) as a template.33 Rosetta symmetry docking
was used to construct C 6 symmetric backbone models, using blade structures extracted
from the human Keap1 β-propeller.41,66 We used the 2nd blade for backbone modeling of
A-type SAKe, and the 6th blade to design the B type SAKe backbone. For each run, 20000
backbone models were generated. The models were filtered on Rosetta symmetry
docking energy scores and RMSD from a manually constructed symmetric backbone.
Clustal Omega was used to generate multiple sequence alignments (MSAs) from the six
repeats of the Keap1 β-propeller67. When designing B type SAKe, the conserved VAPM
motive was erroneously replaced by VAPL during MSA. The MSAs and their
accompanying unrooted phylogenetic trees were used to construct lists of putative
ancestral sequences using the FastML server,68 with 250 sequences per node for a total
of 1000 sequences for each SAKe construct. The ancestral sequences were repeated 6-
fold to fit the full length of the symmetric backbones. The putative ancestral sequences
were mapped on their corresponding backbone models using a custom PyRosetta script,
which was written by prof. D. Simoncini and is available on our laboratory GitHub
repository (https://github.com/kullbmd/kullbmd).28 Talaris2013 energy scores and RMSD
calculated against the input backbone model were used to filter for viable designs .43 For
all SAKe constructs except S6AR, cysteine residues were then mutated to serine or
alanine, depending on their locations.
Randomized loop generation
First, a Python2.7 script was used to calculate the percentage of occurrence for each
amino acid in the iCAN database file, which contains various nanobody CDR motifs.49 As
input, we provided a TXT file containing all iCAN database sequence strings. Then,
another Python2.7 script was used to randomly generate `b' number of sequences with
length `l'. The script uses the previously determined percentages of occurrence and
selects only sequences which contain both a Tyr and a His. These scripts are available
in the supplementary information (Supplementary Scripts).
Cloning
Amino acid sequences were first reverse translated into DNA sequences, using a codon
optimization tool by IDT (Integrated DNA Technologies, Haasrode, Belgium). DNA was
ordered as gBlocks from IDT and subsequently subcloned in pET -28a(+) via NdeI and
XhoI restriction sites. Alternatively, DNA was pre -cloned in pET-28a(+) plasmids by BGI
(BGI genomics, China). Primers were bought from IDT. All PCR reactions followed the
PhusionTM High-Fidelity DNA Polymerase protocol (Thermo Fisher Scientific,
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Massachusetts, United States). All restriction enzymes were bought from ThermoFisher
(FastDigest product line). Ligations were performed with the T4 DNA Ligase from
Promega (Promega, Wisconsin, United States). DNA was purified using the GeneJET
Plasmid Miniprep Kit, GeneJET PCR Purification Kit and GeneJET Gel Extraction kit from
Thermo Fisher Scientific. Before Sanger sequencing by LGC (LGC genomics, Teddington,
United Kingdom), recombinant vectors were transformed to chemically competent E. coli
DH5α using standard heat shock transformation. For protein expression, DNA isolated
from single colonies was transformed to chemically competent E. coli BL21 (DE3) via
heat shock transformation.
Protein expression
E. coli BL21 (DE3) transformed with protein-encoding pET28 plasmids, were grown in 1
L LB (with 0.05 mg/mL kanamycin) at 37 °C, while shaking. At an OD 600 of 0.6, the cells
were left to cool on ice for 20 min. After adding 0.5 mM IPTG incubation continued at
20 °C for 16-18 h while shaking. Cells were harvested via centrifugation at 6721 g. The
supernatant was discarded, and pellets were immediately stored at -24 °C.
Protein purification
SAKe proteins: Pellets were thawed on ice and suspended in lysis buffer (40 mL, 50 mM
NaH2PO4, 200 mM NaCl, 10 mM imidazole, 1 mM phenylmethylsulfonyl fluoride (PMSF),
30 mg hen eggwhite lysozyme (HEWL), pH 8.0). They were then incubated for 30 min at
15 °C while rotating head-over-head. After, they were lysed via sonication. Lysates were
centrifuged at 20216 g for 30 min. The Supernatant was filtered (0.45 µm) and loaded on
a 5 mL Ni-NTA column equilibrated with buffer A (5 CV, 50 mM NaH2PO4, 200 mM NaCl,
10 mM imidazole, pH 8.0). The column was washed with buffer A (10 CV, 50 mM
NaH2PO4, 200 mM NaCl, 10 mM imidazole, pH 8.0) and buffer B (10 CV, 50 mM NaH2PO4,
200 mM NaCl, 20 mM imidazole, pH 8.0) and the proteins eluted with buffer C (10 CV, 50
mM NaH2PO4, 200 mM NaCl, 300 mM imidazole, pH 8.0). SDS PAGE was used to verify
presence of the proteins in the eluate fractions. The fractions containing the proteins of
interest were collected and dialyzed overnight in phosphate buffer (50 mM NaH2PO4, 200
mM NaCl, pH 8.0), using 7000 kDa cut-off SnakeSkinTM Dialysis tubing (Thermo Fischer
Scientific). At the same time, histidine tags were removed via thrombin digestion (100 U).
The dialyzed sampl es were subjected to an additional Ni -NTA chromatography step,
where the proteins now appear in the flow through. Next, the proteins were concentrated
via ultrafiltration and injected on a Superdex 200pg 16/600 or Superdex 75pg 16/600
column (Cytiva, Hoegaarden, Belgium) equilibrated with elution buffer. UV280 absorbance
peaks were collected and concentrated via ultrafiltration to stocks of 20 mg/mL or more.
These stock proteins were stored at 4 °C.
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S6BE, S6BE-3HH and S6BE-6HH for AFM: were purified as described above with the
exception that 5 mM EDTA was added before SEC. Keap1: Because of the solvent -
exposed cysteine, 1 mM freshly prepared DTT is supplemented in every step. This
includes the sample preparation steps for SDS PAGE and crystallization.
Circular dichroism spectroscopy
CD spectroscopy was performed with a JASCO J -1500 spectrometer (JASCO Inc.,
Maryland, United States). To measure the CD spectra, protein samples were diluted (400
µL, 0.1 mg/mL) in phosphate buffer (20 mM mM NaH 2PO4, pH 7.6). Ellipticity was
measured at 20 °C from 260 nm to 200 nm, using 1 mm cuvettes. Five accumulations
were averaged. To estimate melting temperatures, protein samples were first diluted (400
µL, 0.05 mg/mL) in phosphate buffer (20 mM mM NaH2PO4, pH 7.6). Then, ellipticity was
measured from 260 nm to 200 nm, from 5 to 95 °C with intervals of 5 °C, using sealable
2 mm cuvettes. A Python script was used to plot the data as a heatmap. Three
accumulations were averaged. For accurate determination of melting temperatures,
samples were diluted (400 µL, 0.25 mg/mL) in phosphate buffer (20 mM mM NaH 2PO4,
pH 7.6). The signal at 233 nm was followed from 5 to 95 °C with intervals of 0.2 °C, using
sealable 2 mm cuvettes. The data was analyzed with a Python script, which fits a
Boltzmann-sigmoid equation and extracts the midpoint Tm. The parameters are described
in a previous publication by Mylemans et al.38
Dynamic light scattering
Concentrated S6BE, S6BE-3HH, S6BE-3EH or S6BE-3HR (20 mg/mL, 20 mM HEPES,
pH 8.0) were diluted with either MES (20 mM, pH 5.6) or MilliQ to a concentration of 1
mg/mL. Metal suspensions (Cu(NO 3)2 or Zn(NO3)2, MilliQ) were titrated to achieve the
desired ratio of protein:metal. Size measurements were obtained at 25 °C using a
Zetasizer Nano ZS instrument (Malvern Panalytical, Malvern, United Kingdom) and quartz
cuvette (ZEN2112). Data analysis was performed us ing the Zetasizer software 7.11
(Malvern Panalytical).
Atomic force microscopy
Proteins for AFM experiments were obtained from stock solutions (in 20mM HEPES, 200
mM NaCl, pH8) with 50% glycerol and stored at -80 °C. The samples were dialyzed
overnight in order to prepare them with the imaging buffer, and further diluted to the
working concentration. The buffers for the experiments were prepared according to the
working pH. Buffers at pH 4 and 5 were prepared with 20 mM Na -Acetate, equilibrating
the pH with 100% acetate. Buffers at pH 6 were prepared with 20 mM MES (2 -(N-
morpholino)ethanesulfonic acid). The pH was equilibrated with 6N NaOH. And the buffer
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at pH 7 was prepared with 20 mM of HEPES (4 -(2-hydroxyethyl)-1-
piperazineethanesulfonic acid). The pH was equilibrated with 6N NaOH.
To prevent cross contamination, all the utensils required to perform the analysis were
cleaned by five minutes of sonication in isopropanol, water MQ quality and 100% ethanol
spectroscopy quality and dried with N 2 or Argon gas. All the images were taken in a
Cypher S AFM Microscope from Oxford Instruments Asylum Research with a liquid
perfusion cell (Cypher ES) and Fast -scanning high -frequency silicon probes (FS -
1500AUD) from Oxford Instruments. Excitation of the t ip was done by blue Drive
photothermal excitation.
AFM images were processed using Scanning Probe Image Processor (SPIP, Image
Metrology ApS), and Gwyddion software.
Protein crystallization
Crystals were grown via sitting-drop vapour diffusion using NeXtal Crystal Screening kits
(Qiagen), SWISSCI MRC 96 -well plates (Molecular Dimensions Inc) and a Crystal
Gryphon robot (Art Robbins Instruments). For native crystallography droplets consisted
of 0.3 µL buffer and 0.3 µL protein (10 mg/mL in 20 mM HEPES pH 8.0, 200 mM NaCl).
Plates were incubated at 20 °C. Protein crystals were vitrified after single -step soaking.
PEG 400 or glycerol were used as cryoprotectant. X -ray diffraction experiments were
performed at Diamond Light Source (United Kingdom), European Synchrotron Radiation
Facility (France), Elletra Synchrotron (Italy) and Swiss Light Source (Switzerland).
pH induced crystallization
To determine the pH tipping point of assembly of S6BE, S6BE -3HH and S6BE -6HH
(5mg/mL), the three proteins were dialyzed at 20 °C in 500 mL of 50 mM citrate buffer at
pH 4.0, pH 4.5, pH 5.0, pH 5.5, pH 6.0, pH 6.5; and in 500 mL of 20 mM HEPES buffer
at pH 7.0, pH 7.5 an pH 8.0. To test the reversibility of the self -assembly of the three
proteins, two experiments were carried out c oncurrently. One where the three proteins
were dialyzed from pH 4.0 to pH 8.0, and one from pH 6.5 to pH 4.0. The latter would
indicate the pH at which the crystals were readily visible. Such pH value (pH 4.0 for S6BE
and S6BE -3HH and pH 4.5 for S6BE -6HH) was then used to dialyze the respective
proteins upon dissolution of the crystals. For each protein, a self -assembled crystal was
soaked in cryo -protectant, vitrified and shipped to Diamond Light Source (United
Kingdom) and Elettra Synchrotron (Italy) for X -ray diffraction. Pictures of the self -
assembled crystals were taken with a Nikon SMZ800N microscope, outfitted with a TV
Lens C 0.45x (Nikon, Tokyo, Japan).
Xray diffraction analysis
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Diffraction patterns were indexed using XDS or DIALS.69,70 Data reduction was done with
Aimless in CCP4 .71,72 Resolution cut -offs were chosen to achieve an outer shell
completeness of at least 92.5 %, while also satisfying the requirements of outer shell
Rpim below 45 %, CC1/2 above 30 %, and I/sigma(I) above 1.0. Molecular Replacement
phasing was done with PHASER, using our computationally designed models as search
ensemble.18 Refinement was done manually with phenix.refine and Coot .73,74 The final
structures were validated using Molprobity and the PDB validation tool ,75 before being
deposited to RCSB PDB.
Determination of pI and surface electrostatics
Surface electrostatics were calculated at pH 4.0 and 8.0 via PDB2PQR, using a full-length
SAKe as input. The calculated surfaces were visualized via PyMOL. pI values were
calculated via PROPKA.76–78
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