Inferring functional information from domain co-evolution
Author
Yohan Kim, Mehmet Koyuturk, Umut Topkara, Ananth Grama, Shankar Subramaniam
Entry type
article
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.
Date
2006
Journal
Bioinformatics
Key alpha
Grama
Pages
40-49
Affiliation
Purdue University
Publication Date
2006-00-00

