BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.

ABSTRACT:

Motivation

Prediction of protein residue contacts, even at the coarse-grain level, can help in finding solutions to the protein structure prediction problem. Unlike α-helices that are locally stabilized, β-sheets result from pairwise hydrogen bonding of two or more disjoint regions of the protein backbone. The problem of predicting contacts among β-strands in proteins has been addressed by several supervised computational approaches. Recently, prediction of residue contacts based on correlated mutations has been greatly improved and finally allows the prediction of 3D structures of the proteins.

Results

In this article, we describe BCov, which is the first unsupervised method to predict the β-sheet topology starting from the protein sequence and its secondary structure. BCov

SUBMITTER: Savojardo C 

PROVIDER: S-EPMC5994943 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature