- Research
- Teaching
- Group
- Events
- News Archive
Title | Analysing six types of protein-protein interfaces. |
Publication Type | Journal Article |
Year of Publication | 2003 |
Authors | Ofran, Y, Rost, B |
Journal | J Mol Biol |
Volume | 325 |
Issue | 2 |
Pagination | 377-87 |
Date Published | 2003 Jan 10 |
ISSN | 0022-2836 |
Keywords | Amino 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 Journal | J. Mol. Biol. |
PubMed ID | 12488102 |
Grant List | 1-P50-GM62413-01 / GM / NIGMS NIH HHS / United States R01-GM63029-01 / GM / NIGMS NIH HHS / United States |