Multipass membrane protein structure prediction using Rosetta

Vladimir Yarov-Yarovoy, Jack Schonbrun, David Baker

Research output: Contribution to journalArticle

244 Scopus citations

Abstract

We describe the adaptation of the Rosetta de novo structure prediction method for prediction of helical transmembrane protein structures. The membrane environment is modeled by embedding the protein chain into a model membrane represented by parallel planes defining hydrophobic, interface, and polar membrane layers for each energy evaluation. The optimal embedding is determined by maximizing the exposure of surface hydrophobic residues within the membrane and minimizing hydrophobic exposure outside of the membrane. Protein conformations are built up using the Rosetta fragment assembly method and evaluated using a new membrane-specific version of the Rosetta low-resolution energy function in which residue-residue and residue-environment interactions are functions of the membrane layer in addition to amino acid identity, distance, and density. We find that lower energy and more native-like structures are achieved by sequential addition of helices to a growing chain, which may mimic some aspects of helical protein biogenesis after translocation, rather than folding the whole chain simultaneously as in the Rosetta soluble protein prediction method. In tests on 12 membrane proteins for which the structure is known, between 51 and 145 residues were predicted with root-mean-square deviation <4 Å from the native structure.

Original languageEnglish (US)
Pages (from-to)1010-1025
Number of pages16
JournalProteins: Structure, Function and Genetics
Volume62
Issue number4
DOIs
StatePublished - Mar 1 2006
Externally publishedYes

Keywords

  • Fragment assembly
  • Knowledge-based scoring function
  • Molecular modeling
  • Rosetta method

ASJC Scopus subject areas

  • Genetics
  • Structural Biology
  • Biochemistry

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