RRCRank: a fusion method using rank strategy for residue-residue contact prediction.

ABSTRACT:

Background

In structural biology area, protein residue-residue contacts play a crucial role in protein structure prediction. Some researchers have found that the predicted residue-residue contacts could effectively constrain the conformational search space, which is significant for de novo protein structure prediction. In the last few decades, related researchers have developed various methods to predict residue-residue contacts, especially, significant performance has been achieved by using fusion methods in recent years. In this work, a novel fusion method based on rank strategy has been proposed to predict contacts. Unlike the traditional regression or classification strategies, the contact prediction task is regarded as a ranking task. First, two kinds of features are extracted

SUBMITTER: Jing X 

PROVIDER: S-EPMC5581475 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature