Protein language models can capture protein quaternary state.

BACKGROUND: Determining a protein's quaternary state, i.e. the number of monomers in a functional unit, is a critical step in protein characterization. Many proteins form multimers for their activity, and over 50% are estimated to naturally form homomultimers. Experimental quaternary state determination can be challenging and require extensive work. To complement these efforts, a number of computational tools have been developed for quaternary state prediction, often utilizing experimentally validated structural information. Recently, dramatic advances have been made in the field of deep learning for predicting protein structure and other characteristics. Protein language models, such as ESM-2, that apply computational natural-language models to proteins successfully capture secondary structure, protein cell localization and other characteristics, from a single sequence. Here we hypothesize that information about the protein quaternary state may be contained within protein sequences as well, allowing us to benefit from these novel approaches in the context of quaternary state prediction. RESULTS: We generated ESM-2 embeddings for a large dataset of proteins with quaternary state labels from the curated QSbio dataset. We trained a model for quaternary state classification and assessed it on a non-overlapping set of distinct folds (ECOD family level). Our model, named QUEEN (QUaternary state prediction using dEEp learNing), performs worse than approaches that include information from solved crystal structures. However, it successfully learned to distinguish multimers from monomers, and predicts the specific quaternary state with moderate success, better than simple sequence similarity-based annotation transfer. Our results demonstrate that complex, quaternary state related information is included in such embeddings. CONCLUSIONS: QUEEN is the first to investigate the power of embeddings for the prediction of the quaternary state of proteins. As such, it lays out strengths as well as limitations of a sequence-based protein language model approach, compared to structure-based approaches. Since it does not require any structural information and is fast, we anticipate that it will be of wide use both for in-depth investigation of specific systems, as well as for studies of large sets of protein sequences. A simple colab implementation is available at: https://colab. RESEARCH: google.com/github/Furman-Lab/QUEEN/blob/main/QUEEN_prediction_notebook.ipynb .

Structural insights into the role of the WW2 domain on tandem WW-PPxY motif interactions of oxidoreductase WWOX.

Class I WW domains are present in many proteins of various functions and mediate protein interactions by binding to short linear PPxY motifs. Tandem WW domains often bind peptides with multiple PPxY motifs, but the interplay of WW-peptide interactions is not always intuitive. The WW domain-containing oxidoreductase (WWOX) harbors two WW domains: an unstable WW1 capable of PPxY binding and stable WW2 that cannot bind PPxY. The WW2 domain has been suggested to act as a WW1 domain chaperone, but the underlying mechanism of its chaperone activity remains to be revealed. Here, we combined NMR, isothermal calorimetry, and structural modeling to elucidate the roles of both WW domains in WWOX binding to its PPxY-containing substrate ErbB4. Using NMR, we identified an interaction surface between these two domains that supports a WWOX conformation compatible with peptide substrate binding. Isothermal calorimetry and NMR measurements also indicated that while binding affinity to a single PPxY motif is marginally increased in the presence of WW2, affinity to a dual-motif peptide increases 10-fold. Furthermore, we found WW2 can directly bind double-motif peptides using its canonical binding site. Finally, differential binding of peptides in mutagenesis experiments was consistent with a parallel N- to C-terminal PPxY tandem motif orientation in binding to the WW1-WW2 tandem domain, validating structural models of the interaction. Taken together, our results reveal the complex nature of tandem WW-domain organization and substrate binding, highlighting the contribution of WWOX WW2 to both protein stability and target binding.

Matching protein surface structural patches for high-resolution blind peptide docking.

Peptide docking can be perceived as a subproblem of protein­protein docking. However, due to the short length and flexible nature of peptides, many do not adopt one defined conformation prior to binding. Therefore, to tackle a peptide docking problem, not only the relative orientation, but also the bound conformation of the peptide needs to be modeled. Traditional peptide-centered approaches use information about peptide sequences to generate representative conformer ensembles, which can then be rigid-body docked to the receptor. Alternatively, one may look at this problem from the viewpoint of the receptor, namely, that the protein surface defines the peptide-bound conformation. Here, we present PatchMAN (Patch-Motif AligNments), a global peptide-docking approach that uses structural motifs to map the receptor surface with backbone scaffolds extracted from protein structures. On a nonredundant set of protein­peptide complexes, starting from free receptor structures, PatchMAN successfully models and identifies near-native peptide­protein complexes in 58%/84% within 2.5 Å/5 Å interface backbone RMSD, with corresponding sampling in 81%/100% of the cases, outperforming other approaches. PatchMAN leverages the observation that structural units of peptides with their binding pocket can be found not only within interfaces, but also within monomers. We show that the bound peptide conformation is sampled based on the structural context of the receptor only, without taking into account any sequence information. Beyond peptide docking, this approach opens exciting new avenues to study principles of peptide­protein association, and to the design of new peptide binders. PatchMAN is available as a server at https://furmanlab.cs.huji.ac.il/patchman/.

A Versatile Synthetic Affinity Probe Reveals Inhibitory Synapse Ultrastructure and Brain Connectivity.

Visualization of inhibitory synapses requires protocol tailoring for different sample types and imaging techniques, and usually relies on genetic manipulation or the use of antibodies that underperform in tissue immunofluorescence. Starting from an endogenous ligand of gephyrin, a universal marker of the inhibitory synapse, we developed a short peptidic binder and dimerized it, significantly increasing affinity and selectivity. We further tailored fluorophores to the binder, yielding "Sylite"-a probe with outstanding signal-to-background ratio that outperforms antibodies in tissue staining with rapid and efficient penetration, mitigation of staining artifacts, and simplified handling. In super-resolution microscopy Sylite precisely localizes the inhibitory synapse and enables nanoscale measurements. Sylite profiles inhibitory inputs and synapse sizes of excitatory and inhibitory neurons in the midbrain and combined with complimentary tracing techniques reveals the synaptic connectivity.

Harnessing protein folding neural networks for peptide-protein docking.

Highly accurate protein structure predictions by deep neural networks such as AlphaFold2 and RoseTTAFold have tremendous impact on structural biology and beyond. Here, we show that, although these deep learning approaches have originally been developed for the in silico folding of protein monomers, AlphaFold2 also enables quick and accurate modeling of peptide-protein interactions. Our simple implementation of AlphaFold2 generates peptide-protein complex models without requiring multiple sequence alignment information for the peptide partner, and can handle binding-induced conformational changes of the receptor. We explore what AlphaFold2 has memorized and learned, and describe specific examples that highlight differences compared to state-of-the-art peptide docking protocol PIPER-FlexPepDock. These results show that AlphaFold2 holds great promise for providing structural insight into a wide range of peptide-protein complexes, serving as a starting point for the detailed characterization and manipulation of these interactions.

Wilavidin - a novel member of the avidin family that forms unique biotin-binding hexamers.

Nature's optimization of protein functions is a highly intricate evolutionary process. In addition to optimal tertiary folding, the intramolecular recognition among the monomers that generate higher-order quaternary arrangements is driven by stabilizing interactions that have a pivotal role for ideal activity. Homotetrameric avidin and streptavidin are regularly utilized in many applications, whereby their ultra-high affinity toward biotin is dependent on their quaternary arrangements. In recent years, a new subfamily of avidins was discovered that comprises homodimers rather than tetramers, in which the high affinity toward biotin is maintained. Intriguingly, several of the respective dimers have been shown to assemble into higher-order cylindrical hexamers or octamers that dissociate into dimers upon biotin binding. Here, we present wilavidin, a newly discovered member of the dimeric subfamily, forming hexamers in the apo form, which are uniquely maintained upon biotin binding with six high-affinity binding sites. Removal of the short C-terminal segment of wilavidin resulted in the presence of the dimer only, thus emphasizing the role of this segment in stabilizing the hexamer. Utilization of a hexavalent biotin-binding form of avidin would be beneficial for expanding the biotechnological toolbox. Additionally, this unique family of dimeric avidins and their propensity to oligomerize to hexamers or octamers can serve as a basis for protein oligomerization and intermonomeric recognition as well as cumulative interactions that determine molecular assemblies.

Publisher Correction: Coupling Multi Angle Light Scattering to Ion Exchange chromatography (IEX-MALS) for protein characterization.

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Crystal structure of afifavidin reveals common features of molecular assemblage in the bacterial dimeric avidins.

The subfamily of bacterial dimeric avidins is being extended through the discovery of additional members originating from diverse sources. All of these newly discovered dimeric avidin forms exhibit high affinity towards biotin, despite their lack of critical Trp in the classical tetrameric forms. The common feature of forming cylinder-like multimers (hexamers and octamers) seems to be more than a random occurrence, which generally characterizes their apo forms in the crystalline state and also in some cases in solution. Afifavidin from the Gram-negative α-proteobacterium Afifella pfennigii is the fourth member of the subfamily of dimers, which, in the intact apo form, also congregates into octamers both in the solution and in the crystalline state, whereby the C-terminal extended segments stretch into the biotin-binding sites of adjacent non-canonical monomers. The intact apo afifavidin molecule self-assembles into toroid-shaped nanostructures that dissociate into the inherent dimers upon binding biotin. On removal of the C-terminal regions, the short-form of afifavidin forms dimers both in the solution and in the crystalline states. The high affinity of the dimeric forms of afifavidin towards biotin is maintained, due to the conserved disulfide bridge between L3,4 and L5,6 and the presence of Phe50 in L3,4 that compensate for the lack of the critical Trp in the tetrameric avidins. These cyclic multimeric-avidin assemblies may be exploited in the future to further diversify biotin-based nanotechnology or to serve as building blocks in the construction of bio-inspired materials. DATABASE: Structural data are available in the PDB databases under the accession numbers: 6HDV, 6HDS, 6HDT.

Coupling Multi Angle Light Scattering to Ion Exchange chromatography (IEX-MALS) for protein characterization.

Multi-angle light scattering coupled with size exclusion chromatography (SEC-MALS) is a standard and common approach for characterizing protein mass, overall shape, aggregation, oligomerization, interactions and purity. The limited resolution of analytical SEC restricts in some instances the accurate analysis that can be accomplished by MALS. These include mixtures of protein populations with identical or very similar molecular masses, oligomers with poor separation and short peptides. Here we show that combining MALS with the higher resolution separation technique ion exchange (IEX-MALS) can allow precise analyses of samples that cannot be resolved by SEC-MALS. We conclude that IEX-MALS is a valuable and complementary method for protein characterization, especially for protein systems that could not be fully analyzed by SEC-MALS.

Hoefavidin: A dimeric bacterial avidin with a C-terminal binding tail.

Dimeric avidins are a newly discovered subgroup of the avidin family that bind biotin with high affinity. Their dimeric configuration is a quaternary substructure of the classical tetrameric avidins which lacks the requirement of the critical Trp that defines the tetramer and dictates the tenacious interaction with biotin. Hoefavidin, derived from the bacterium Hoeflea phototrophica DFL-43(T), is the third characterized member of the dimeric avidin subfamily. Like the other members of this group, hoefavidin is a thermostable protein that contains a disulfide bridge between Cys57 and Cys88, thereby connecting and stabilizing the L3,4 and L5,6 loops. This represents a distinctive characteristic of dimeric avidins that compensates for the lack of Trp and enables their dimeric configuration. The X-ray structure of the intact hoefavidin revealed unique crystal packing generated by an octameric cylindrical structure wherein the C-termini segments of each monomer is introduced into the entrance of the biotin-binding site of an adjacent non-canonical monomer. This anomaly in the protein structure served as a lead toward the design of specific binding peptides. We screened for specific hoefavidin binding peptides derived from the C-terminal region and two peptides were obtained that bind a truncated form of hoefavidin (lacking the last 10 amino acids) with dissociation constants of 10(-5)M. The crystal structure of short hoefavidin complexed with a C-terminal derived peptide revealed the mode of binding. These peptides may form the basis of novel and reversible binders for dimeric avidins.

Mapping of the binding landscape for a picomolar protein-protein complex through computation and experiment.

Our understanding of protein evolution would greatly benefit from mapping of binding landscapes, i.e., changes in protein-protein binding affinity due to all single mutations. However, experimental generation of such landscapes is a tedious task due to a large number of possible mutations. Here, we use a simple computational protocol to map the binding landscape for two homologous high-affinity complexes, involving a snake toxin fasciculin and acetylcholinesterase from two different species. To verify our computational predictions, we experimentally measure binding between 25 Fas mutants and the 2 enzymes. Both computational and experimental results demonstrate that the Fas sequence is close to the optimum when interacting with its targets, yet a few mutations could further improve Kd, kon, and koff. Our computational predictions agree well with experimental results and generate distributions similar to those observed in other high-affinity PPIs, demonstrating the potential of simple computational protocols in capturing realistic binding landscapes.