Prediction of protein domain boundaries from inverse covariances.

ABSTRACT: It has been known even since relatively few structures had been solved that longer protein chains often contain multiple domains, which may fold separately and play the role of reusable functional modules found in many contexts. In many structural biology tasks, in particular structure prediction, it is of great use to be able to identify domains within the structure and analyze these regions separately. However, when using sequence data alone this task has proven exceptionally difficult, with relatively little improvement over the naive method of choosing boundaries based on size distributions of observed domains. The recent significant improvement in contact prediction provides a new source of information for domain prediction. We test several methods for using this information including

SUBMITTER: Sadowski MI 

PROVIDER: S-EPMC3563215 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature