Analysing six types of protein-protein interfaces.

TitleAnalysing six types of protein-protein interfaces.
Publication TypeJournal Article
Year of Publication2003
AuthorsOfran, Y, Rost, B
JournalJ Mol Biol
Volume325
Issue2
Pagination377-87
Date Published2003 Jan 10
ISSN0022-2836
KeywordsAmino Acid Sequence, Amino Acids, Databases, Protein, Mathematics, Protein Conformation, Protein Folding, Proteins
Abstract

Non-covalent residue side-chain interactions occur in many different types of proteins and facilitate many biological functions. Are these differences manifested in the sequence compositions and/or the residue-residue contact preferences of the interfaces? Previous studies analysed small data sets and gave contradictory answers. Here, we introduced a new data-mining method that yielded the largest high-resolution data set of interactions analysed. We introduced an information theory-based analysis method. On the basis of sequence features, we were able to differentiate six types of protein interfaces, each corresponding to a different functional or structural association between residues. Particularly, we found significant differences in amino acid composition and residue-residue preferences between interactions of residues within the same structural domain and between different domains, between permanent and transient interfaces, and between interactions associating homo-oligomers and hetero-oligomers. The differences between the six types were so substantial that, using amino acid composition alone, we could predict statistically to which of the six types of interfaces a pool of 1000 residues belongs at 63-100% accuracy. All interfaces differed significantly from the background of all residues in SWISS-PROT, from the group of surface residues, and from internal residues that were not involved in non-trivial interactions. Overall, our results suggest that the interface type could be predicted from sequence and that interface-type specific mean-field potentials may be adequate for certain applications.

Alternate JournalJ. Mol. Biol.
PubMed ID12488102
Grant List1-P50-GM62413-01 / GM / NIGMS NIH HHS / United States
R01-GM63029-01 / GM / NIGMS NIH HHS / United States