Biology subjects

Veinstein, M.

Publications and source records attributed to Veinstein, M..

3 recordsLinked to original sources

bioRxiv2025

A simple workflow to identify novel Small Linear Motif (SLiM)-mediated interactions with AlphaFold

Short linear motifs (SLiMs) are highly compact interaction modules embedded within disordered protein regions and are increasingly recognized for their central role in maintaining cellular homeostasis. Due to their small size, degeneracy and transient binding, SLiMs remain difficult to detect both experimentally and computationally. Here, we show that AlphaFold, used via ColabFold, offers a practical and accessible alternative for in-silico SLiM discovery. Unlike previous studies focused on structural accuracy, we evaluated AlphaFolds capacity to reveal SLiMs independently of model quality. To this end, we benchmarked several scoring metrics and showed that AlphaFold2 combined with MiniPAE yields the best performance, outperforming AlphaFold3 in this context. Building on these findings, we also provide a streamlined and cost-effective workflow for SLiM prediction requiring no installation or local computation. To overcome challenges associated with SLiM validation, we also introduce a highly sensitive detection method based on proximity labeling in living cells. This workflow was used to predict the occurrence of SLiMs that mediate binding to ribosomal protein S6 kinase A3 (RPS6KA3 or RSK2). By leveraging Colabfold and MiniPAE available through Colab notebooks, our approach provides a scalable and widely accessible strategy for identifying functional SLiMs in proteins of interest. MiniPAE can be accessed at https://github.com/martinovein/MiniPAE Short descriptionMartin Veinstein is a PhD student in Biomedical Sciences at the de Duve Institute, UCLouvain, Belgium. He specializes in Small Linear Motifs (SLiMs) in the context of host-virus interactions and has developed strong expertise in bioinformatics, structural biology, and predictive modeling. Victor J is a unfergradiate student at the ECAM Brussels Engineering School, Haute Ecole "ICHEC-ECAM-ISFSC", Brussels, Belgium. His activities span form September to November 2023. B.I. Iorga is a CNRS Research Director at the Institut de Chimie des Substances Naturelles in Gif-sur-Yvette, France. His research focuses among others on methodological developments in molecular modeling and the in-silico prediction of antibiotic resistance using machine learning and deep learning approaches. Raphael Helaers is a Senior Investigator and leads bioinformatics infrastructure at the de Duve Institute, UCLouvain, Belgium. He has developed strong expertise in next-generation sequencing and software development, along with a deep interest in biology, genetics, and evolution. Thomas Michiels is a Full Professor and researcher at the de Duve Institute, UCLouvain, Belgium. His research focuses on virus-mediated subversion of the innate immune response. Frederic Sorgeloos is an adjunct Professor at the INRS, Laval, Canada. He currently focuses on the subversion of cellular homeostasis through small linear peptides encoded by viral and bacterial pathogens. Short abstractVarious AlphaFold2/3 scoring metrics were systematically benchmarked for their ability to detect Small Linear Motifs (SLiMs) Based on this evaluation, a user-friendly and cost-effective in-silico workflow is proposed to identify novel SLiMs-targeting proteins The utility of this workflow is demonstrated through the prediction of previously uncharacterized SLiMs interacting with RSK kinases. A sensitive in-vitro assay is proposed to streamline the validation of low-affinity SLiM-target interactions. Together, our workflow and associated validation assay offer an integrated pipeline for the discovery and validation of SLiM-mediated protein-protein interactions.

bioinformatics↗

bioRxiv2025

The leader proteins of Theiler's virus and Boone cardiovirus use a combination of Short Linear Motifs (SLiMs) to target RSK kinases to the nuclear pore complex.

Unrelated pathogens, including viruses and bacteria, use a common DDVF-like short linear motif (SLiM) to interact with cellular kinases of the RSK (p90 S6 ribosomal kinase) family. Such a "DDVF" SLiM occurs in the leader (L) protein encoded by picornaviruses of the genus Cardiovirus, including Theilers murine encephalomyelitis virus (TMEV), Boone cardiovirus (BCV), and Encephalomyocarditis virus (EMCV). The L-RSK complex is targeted to the nuclear pore, where RSK triggers FG-nucleoporins hyperphosphorylation, thereby causing nucleocytoplasmic trafficking disruption. In this work, we identified a second SLiM in the L proteins of TMEV and BCV, which enables the L-RSK complex to interact with RAE1 at the level of the nuclear pore complex. AlphaFold predictions suggest that the RAE1-interacting SLiM of L proteins is analogous to that found in unrelated viral proteins such as ORF6 of SARS-CoV-1/2, ORF10 of Kaposi sarcoma-associated herpes virus (KSHV), and the matrix (M) protein of vesicular stomatitis virus (VSV). Co-immunoprecipitations confirmed the interaction between BCV L and RAE1 and competition experiments revealed that L can compete with ORF6 for RAE1 binding, suggesting that BCV and TMEV L proteins interact with RAE1 via the same docking site as M, ORF6, or ORF10. This RAE1 binding SLiM tentatively named "M-acidic", is predicted to occur in other viral proteins such as Rift valley fever virus NSs as well as in cell proteins such as NXF1. BCV and TMEV L proteins use a combination of two independent SLiMs to hijack cellular kinases and retarget those kinases toward the nuclear pore complex. ImportanceProtein-protein interactions are critical to regulate cell physiology. Short linear motifs (SLiMs) are unstructured protein sequences, which usually bind to structured domains of partner proteins. They typically mediate low affinity, transient interactions, which are particularly suitable for fine tuning cell physiology or helping cells to react promptly to stress situations. Owing to their fast replication and to the high error rate of their polymerases, viruses, particularly RNA viruses are prone to acquire SLiMs that mimic cellular SLiMs and thereby interfere with host cell signaling. In this work, we show that the leader ("L") protein expressed by some cardioviruses (Picornaviridae family) uses two SLiMs in combination, which are individually shared by other pathogens: the first one, described previously, enables the L protein to hijack cellular kinases named RSKs, and the second one described in this work enables the L-RSK complex to target proteins RAE1 and NUP98 in the nuclear pore complex.

microbiology↗

bioRxiv2024

The "DDVF" motif used by viral and bacterial proteins to hijack RSK kinases evolved as a mimic of a short linear motif (SLiM) found in proteins related to the RAS-ERK MAP kinase pathway.

Proteins of pathogens such as cardioviruses, kaposi sarcoma-associated herpes virus, varicella zoster virus and bacteria of the genus Yersinia were previously shown to use a common "DDVF" (D/E-D/E-V-F) short linear motif (SLiM) to hijack cellular kinases of the RSK (p90 ribosomal S6 kinases) family. Remarkable conservation of the SLiM docking site in RSKs suggested a physiological role for this site. Using SLiM prediction tools and AlphaFold docking, we screened the human proteome for proteins that would interact with RSKs through a DDVF-like SLiM. Using co-immunoprecipitation experiments, we show that two candidates previously known as RSK partners, FGFR1 and SPRED2, as well as two candidates identified as novel RSK partners, GAB3 and CNKSR2 do interact with RSKs through a similar interface as the one used by pathogens, as was recently documented for SPRED2. Moreover, we show that FGFR1 employs a DSVF motif to bind RSKs and that phosphorylation of the serine in this motif increases RSK binding. FGFR1, SPRED2, GAB3 and CNKSR2 as well as other candidate RSK binders act upstream of RSK in the RAS-ERK MAP kinase pathway. Analysis of ERK activation in cells expressing a mutated form of RSK lacking the DDVF-docking site suggests that RSK might interact with the DDVF-like SLiM of several partners to provide a negative feed-back to the ERK MAPK pathway. Thus, through SLiM mimicry, pathogens not only retarget RSKs toward unconventional substrates but also likely compete with human proteins to alter the regulation of the RAS-ERK MAP kinase pathway. Author SummaryShort linear motif (SLiM) are 3 to 10 amino acid-long protein sequences that can mediate the interaction with other proteins. We previously observed that highly unrelated pathogens, including viruses and bacteria, convergently evolved to hijack cellular enzymes of their host, through a common SLiM. In this work, we tested the hypothesis that the SLiM found in proteins of pathogens evolved to mimic a SLiM found in human proteins that regulate the cellular enzymes through the same interface. Protein-protein interactions mediated by SLiMs are often, low-affinity, transient interactions that are difficult to detect by conventional biochemical methods but that can nowadays be predicted with increasing confidence by artificial intelligence-based methods such as AlphaFold. Using such predictions, we identified several candidate human proteins and we confirmed experimentally that these proteins interact with the cellular enzymes the same way as pathogens proteins do. Identified proteins belong to the well-known RAS-ERK MAPK pathway which regulates important functions of the cell, suggesting that pathogens evolved to hijack this MAPK pathway by SLiM mimicry. By doing so, they can both dysregulate cellular physiology and hijack cellular enzymes to their own benefit.

microbiology↗