ReSMAP: Web Server for Predicting Residue-Specific Membrane-Association Propensities of Intrinsically Disordered Proteins

  • Sanbo Qin
  • , Alan Hicks
  • , Souvik Dey
  • , Ramesh Prasad
  • , Huan Xiang Zhou

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The functional processes of many proteins involve the association of their intrinsically disordered regions (IDRs) with acidic membranes. We have identified the membrane-association characteristics of IDRs using extensive molecular dynamics (MD) simulations and validated them with NMR spectroscopy. These studies have led to not only deep insight into functional mechanisms of IDRs but also to intimate knowledge regarding the sequence determinants of membrane-association propensities. Here we turned this knowledge into a web server called ReSMAP, for predicting the residue-specific membrane-association propensities from IDR sequences. The membrane-association propensities are calculated from a sequence-based partition function, trained on the MD simulation results of seven IDRs. Robustness of the prediction is demonstrated by leaving one IDR out of the training set. We anticipate there will be many applications for the ReSMAP web server, including rapid screening of IDR sequences for membrane association.

Original languageEnglish
Article number773
JournalMembranes
Volume12
Issue number8
DOIs
StatePublished - Aug 2022
Externally publishedYes

Funding

This research was funded by the National Institutes of Health, grant numbers GM118091 and AI119178.

Keywords

  • amphipathic helix
  • intrinsically disordered proteins
  • intrinsically disordered regions
  • membrane binding
  • membrane-association propensity

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