BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming
Author(s) -
Castrense Savojardo,
Piero Fariselli,
Pier Luigi Martelli,
Rita Casadio
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt555
Subject(s) - covariance , inverse , integer programming , computer science , estimation , integer (computer science) , mathematical optimization , algorithm , mathematics , topology (electrical circuits) , combinatorics , statistics , programming language , engineering , geometry , systems engineering
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.
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