Sequence-based prediction of intermolecular interactions driven by disordered regions

Intrinsically disordered regions (IDRs) in proteins play essential roles in cellular function. A growing body of work has shown that IDRs often interact with partners in a manner that does not depend on the precise order of amino acids but is instead driven by complementary chemical interactions, leading to disordered bound-state complexes. However, these chemically specific dynamic interactions are difficult to predict. In this study, we repurposed the chemical physics developed originally for molecular simulations to predict this chemical specificity between IDRs and partner proteins using protein sequence as the only input. Our approach-FINCHES-enables the direct prediction of phase diagrams, the identification of chemically specific interaction hotspots on IDRs, the decomposition of chemically distinct domains in IDRs, and a route to develop and test mechanistic hypotheses regarding IDR function in molecular recognition.

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Publication Details

Journal
Science
Published
2025-05-22
DOI
https://doi.org/10.1126/science.adq8381
Citations
48
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
37.08
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Sequence-based prediction of intermolecular interactions driven by disordered regions

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Sequence-based prediction of intermolecular interactions driven by disordered regions

Stephen P. Plassmeyer, Ryan J. Emenecker, Emery T. Usher, Garrett M. Ginell, Alex S. Holehouse, Alex T. Keeley, Jeffrey M. Lotthammer, Jacqueline F. Pelham, Nicholas Razo
article en
48 citations

Abstract

Intrinsically disordered regions (IDRs) in proteins play essential roles in cellular function. A growing body of work has shown that IDRs often interact with partners in a manner that does not depend on the precise order of amino acids but is instead driven by complementary chemical interactions, leading to disordered bound-state complexes. However, these chemically specific dynamic interactions are difficult to predict. In this study, we repurposed the chemical physics developed originally for molecular simulations to predict this chemical specificity between IDRs and partner proteins using protein sequence as the only input. Our approach-FINCHES-enables the direct prediction of phase diagrams, the identification of chemically specific interaction hotspots on IDRs, the decomposition of chemically distinct domains in IDRs, and a route to develop and test mechanistic hypotheses regarding IDR function in molecular recognition.

ScienceVol. 388(6749)
Washington University in St. Louis (US)
Openalex Percentile: Top 0%
RNA Research and Splicing
37.08
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