Large-scale structure prediction by improved contact predictions and model quality assessment.

ABSTRACT:

Motivation

Accurate contact predictions can be used for predicting the structure of proteins. Until recently these methods were limited to very big protein families, decreasing their utility. However, recent progress by combining direct coupling analysis with machine learning methods has made it possible to predict accurate contact maps for smaller families. To what extent these predictions can be used to produce accurate models of the families is not known.

Results

We present the PconsFold2 pipeline that uses contact predictions from PconsC3, the CONFOLD folding algorithm and model quality estimations to predict the structure of a protein. We show that the model quality estimation significantly increases the number of models that reliably can be identified. Finally, we appl

SUBMITTER: Michel M 

PROVIDER: S-EPMC5870574 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature