Unleashing the power of meta-threading for evolution/structure-based function inference of proteins.

ABSTRACT: Protein threading is widely used in the prediction of protein structure and the subsequent functional annotation. Most threading approaches employ similar criteria for the template identification for use in both protein structure and function modeling. Using structure similarity alone might result in a high false positive rate in protein function inference, which suggests that selecting functional templates should be subject to a different set of constraints. In this study, we extend the functionality of eThread, a recently developed approach to meta-threading, focusing on the optimal selection of functional templates. We optimized the selection of template proteins to cover a broad spectrum of protein molecular function: ligand, metal, inorganic cluster, protein, and nucleic acid binding.

SUBMITTER: Brylinski M 

PROVIDER: S-EPMC3686302 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature