The Database of Intrinsically Disordered Proteins (DisProt, URL: https://disprot.org) is the major repository of manually curated annotations of intrinsically disordered proteins and regions from the literature. We report here recent updates of DisProt version 9, including a restyled web interface, refactored Intrinsically Disordered Proteins Ontology (IDPO), improvements in the curation process and significant content growth of around 30%. Higher quality and consistency of annotations is provided by a newly implemented reviewing process and training of curators. The increased curation capacity is fostered by the integration of DisProt with APICURON, a dedicated resource for the proper attribution and recognition of biocuration efforts. Better interoperability is provided through the adoption of the Minimum Information About Disorder (MIADE) standard, an active collaboration with the Gene Ontology (GO) and Evidence and Conclusion Ontology (ECO) consortia and the support of the ELIXIR infrastructure.

/Summary: Homer proteins are modular scaffold molecules that constitute an integral part of the protein network within the postsynaptic density. Full-length Homer1 forms a large homotetramer via a long coiled coil region, and can interact with proline-rich target sequences with its globular EVH1 domain. Here we report an atomistic model of the full-length Homer1 tetramer along with the NMR solution structure of its EVH1 domain. Compared to the already available EVH1 structures, our NMR ensemble exhibits subtle differences, mostly in and around its partner binding region, suggesting the presence of ligand-induced conformational transitions. Molecular dynamics simulations of the long coiled coil reveal distinct regions with different stability and flexibility, with the N-terminal part of the coiled coil exhibiting the largest motions. Interestingly, this segment is highly conserved, pointing to the functional relevance of the observed dynamical features. Our results indicate previously unexplored aspects of the flexibility of the full-length Homer1 tetramer that might contribute to the dynamic rearrangements of the postsynaptic protein network linked to its functional transitions.

Summary: Guanylate kinase-associated protein (GKAP) is a large postsynaptic scaffold protein bearing two closely spaced noncanonical binding sites for the bivalent dynein light chain LC8 hub protein. This might allow the formation of heterogeneous complexes with different sizes and topologies. Here, we show that a well-defined hexameric complex is formed, composed of 2 GKAP molecules and 2 LC8 dimers. Using NMR spectroscopy, we demonstrate that the LC8-binding segment of GKAP is intrinsically disordered and the flexibility of the linker region is largely retained even in the complex form. Molecular dynamics calculations suggest that besides the tightly bound residues, the hexamer also exhibits several dynamically interchanging interactions. The flanking regions of the two binding sites on GKAP exhibit different interaction patterns, hinting at additional contacts that might explain the fixed stoichiometry of the assembly. Our results demonstrate that constrained stoichiometry can coexist with substantial flexibility in a multivalent system.

SH3 domains are widespread protein modules that mostly bind to proline-rich short linear motifs (SLiMs). Most known SH3 domain-motif interactions and canonical or non-canonical recognition specificities are described for individual SH3 domains. Although cooperation and coordinated motif binding between tandem SH3 domains has already been described for members of the p47 ^phox -related protein family, individual cases have never been collected and analyzed collectively, which precluded the definition of the binding preferences and targeted discovery of further instances. Here, we apply an integrative approach that includes data collection, curation, bioinformatics analyses and state-of-the-art structure prediction methods to fill these gaps. We define the optimal binding preference of tandemly arranged SH3 domains as [PAVIL]PPR[PR][^DE][^DE], and propose potential new instances of this SLiM among the family members and their binding partners. Structure predictions suggest the possibility of a novel, reverse binding mode for certain motif instances. A search of the human proteome with the sequence signatures of SH3 tandemization and follow-up structure analyses suggest that SH3 tandemization could be specific for this family. In all, our comprehensive analysis of this unique SH3 binding mode enabled description of the binding preference and identification of novel interesting cases proposed for experimental validation.

Short linear motifs (SLiMs) are small interaction modules within intrinsically disordered regions of proteins that interact with specific domains, and thereby regulate numerous biological processes. Their limited sequence information leads to frequent false positive hits in computational and experimental SLiM identification methods. We present SLiMMine, a deep learning-based method to identify SLiMs in the human proteome. By refining the annotations of known motif classes, we created a high-quality training dataset. Using protein embeddings and neural networks, SLiMMine reliably predicts novel SLiM candidates in known classes, eliminates ~80% of the pattern matching-based hits as false-positives, furthermore, it also functions as a discovery tool to find uncharacterized SLiMs based on optimal sequence environment. Finally, narrowing the broad interactor-domain definitions of known SLiM classes to specific human proteins enables more precise linking of predicted SLiMs to known protein-protein interactions. SLiMMine is available as a user-friendly, multipurpose web server at https://slimmine.pbrg.hu/ .

The EVH1 domain of the Homer1 scaffold protein interacts with the proline‐rich region of Shank3, forming a key network within the postsynaptic density. While two mutations (M65I and S97L) in the EVH1 domain have been suggested to be associated with autism spectrum disorder, our results show that neither mutation has a substantial effect on the overall structure or the partner binding properties of Homer1. Compared to the S97L variant, the M65I mutant exhibits larger chemical shift perturbations both upon the mutation itself and during partner binding, while also showing signs of thermal destabilization. Finally, integration of computational and NMR data suggests that both mutations perturb the μs‐ms timescale internal motions of the EVH1 domain.