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Sequence-based prediction of intermolecular interactions driven by disordered regions.

Garrett M Ginell1,2, Ryan J Emenecker1,2, Jeffrey M Lotthammer1,2

  • 1Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.

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Summary
This summary is machine-generated.

We developed FINCHES, a new method to predict how intrinsically disordered regions (IDRs) in proteins interact with partners. This approach uses chemical physics to understand these dynamic, chemically specific interactions from protein sequences alone.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Intrinsically disordered regions (IDRs) are crucial for cellular functions.
  • IDRs interact with partners via chemically specific interactions, forming dynamic, disordered complexes.
  • Predicting these specific interactions is challenging due to their non-canonical nature.

Purpose of the Study:

  • To develop a predictive method for the chemical specificity of interactions between IDRs and partner proteins.
  • To utilize principles of chemical physics and molecular simulations for this prediction.
  • To use only the protein sequence as input for the prediction.

Main Methods:

  • Repurposed chemical physics principles from molecular simulations.
  • Applied the FINCHES approach to predict IDR-partner interactions.
  • Used protein sequence as the sole input data.

Main Results:

  • FINCHES enables direct prediction of phase diagrams for IDR-partner interactions.
  • Identified chemically specific interaction hotspots within IDRs.
  • Facilitated the decomposition of IDRs into chemically distinct functional domains.

Conclusions:

  • FINCHES provides a novel computational route to understand and predict IDR molecular recognition.
  • The method aids in developing and testing mechanistic hypotheses for IDR function.
  • This approach enhances our ability to study dynamic protein interactions crucial for cellular processes.