PMID:16301205
| Citation |
Kim, Y, Koyutürk, M, Topkara, U, Grama, A and Subramaniam, S (2006) Inferring functional information from domain co-evolution. Bioinformatics 22:40-9 |
|---|---|
| Abstract |
Co-evolution is a powerful mechanism for understanding protein function. Prior work in this area has shown that co-evolving proteins are more likely to share the same function than those that do not because of functional constraints. Many of the efforts founded on this observation, however, are at the level of entire sequences, implicitly assuming that the complete protein sequence follows a single evolutionary trajectory. Since it is well known that a domain can exist in various contexts, this assumption is not valid for numerous multi-domain proteins. Motivated by these observations, we introduce a novel technique called Coevolutionary-Matrix that captures co-evolution between regions of two proteins. Instead of using existing domain information, the method exploits residue-level conservation to identify co-evolving regions that might correspond to domains. |
| Links |
PubMed Online version:10.1093/bioinformatics/bti723 |
| Keywords |
Algorithms; Bacterial Proteins/metabolism; Computational Biology/methods; Databases, Protein; Escherichia coli/metabolism; Escherichia coli Proteins/chemistry; Escherichia coli Proteins/metabolism; Evolution, Molecular; Genome, Bacterial; Membrane Proteins/metabolism; Models, Statistical; Phylogeny; Predictive Value of Tests; Protein Binding; Protein Kinases/metabolism; Protein Structure, Tertiary; Proteins/chemistry; Sequence Alignment; Software |
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