Feature amplified voting algorithm for functional analysis of protein superfamily.

ABSTRACT:

Background

Identifying the regions associated with protein function is a singularly important task in the post-genomic era. Biological studies often identify functional enzyme residues by amino acid sequences, particularly when related structural information is unavailable. In some cases of protein superfamilies, functional residues are difficult to detect by current alignment tools or evolutionary strategies when phylogenetic relationships do not parallel their protein functions. The solution proposed in this study is Feature Amplified Voting Algorithm with Three-profile alignment (FAVAT). The core concept of FAVAT is to reveal the desired features of a target enzyme or protein by voting on three different property groups aligned by three-profile alignment method. Functional resid

SUBMITTER: Hung CL 

PROVIDER: S-EPMC2999344 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature