Enhancing coevolution-based contact prediction by imposing structural self-consistency of the contacts.

ABSTRACT: Based on the development of new algorithms and growth of sequence databases, it has recently become possible to build robust higher-order sequence models based on sets of aligned protein sequences. Such models have proven useful in de novo structure prediction, where the sequence models are used to find pairs of residues that co-vary during evolution, and hence are likely to be in spatial proximity in the native protein. The accuracy of these algorithms, however, drop dramatically when the number of sequences in the alignment is small. We have developed a method that we termed CE-YAPP (CoEvolution-YAPP), that is based on YAPP (Yet Another Peak Processor), which has been shown to solve a similar problem in NMR spectroscopy. By simultaneously performing structure prediction and contact assig

SUBMITTER: Kassem MM 

PROVIDER: S-EPMC6057941 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature