Three-dimensional structures of membrane proteins from genomic sequencing Journal Article


Authors: Hopf, T. A.; Colwell, L. J.; Sheridan, R.; Rost, B.; Sander, C.; Marks, D. S.
Article Title: Three-dimensional structures of membrane proteins from genomic sequencing
Abstract: We show that amino acid covariation in proteins, extracted from the evolutionary sequence record, can be used to fold transmembrane proteins. We use this technique to predict previously unknown 3D structures for 11 transmembrane proteins (with up to 14 helices) from their sequences alone. The prediction method (EVfold-membrane) applies a maximum entropy approach to infer evolutionary covariation in pairs of sequence positions within a protein family and then generates all-atom models with the derived pairwise distance constraints. We benchmark the approach with blinded de novo computation of known transmembrane protein structures from 23 families, demonstrating unprecedented accuracy of the method for large transmembrane proteins. We show how the method can predict oligomerization, functional sites, and conformational changes in transmembrane proteins. With the rapid rise in large-scale sequencing, more accurate and more comprehensive information on evolutionary constraints can be decoded from genetic variation, greatly expanding the repertoire of transmembrane proteins amenable to modeling by this method. © 2012 Elsevier Inc.
Keywords: controlled study; gene sequence; protein conformation; animals; membrane proteins; genetic variability; algorithms; evolution, molecular; amino acid sequence; conserved sequence; sequence alignment; membrane protein; models, molecular; protein structure; protein family; protein structure, secondary; oligomerization; structural homology, protein; entropy
Journal Title: Cell
Volume: 149
Issue: 7
ISSN: 0092-8674
Publisher: Cell Press  
Date Published: 2012-06-22
Start Page: 1607
End Page: 1621
Language: English
DOI: 10.1016/j.cell.2012.04.012
PROVIDER: scopus
PUBMED: 22579045
PMCID: PMC3641781
DOI/URL:
Notes: --- - "Export Date: 2 July 2012" - "CODEN: CELLB" - "Source: Scopus"
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  1. Chris Sander
    210 Sander