PconsFold: improved contact predictions improve protein models.

ABSTRACT:

Motivation

Recently it has been shown that the quality of protein contact prediction from evolutionary information can be improved significantly if direct and indirect information is separated. Given sufficiently large protein families, the contact predictions contain sufficient information to predict the structure of many protein families. However, since the first studies contact prediction methods have improved. Here, we ask how much the final models are improved if improved contact predictions are used.

Results

In a small benchmark of 15 proteins, we show that the TM-scores of top-ranked models are improved by on average 33% using PconsFold compared with the original version of EVfold. In a larger benchmark, we find that the quality is improved with 15-30% when using Pcon

SUBMITTER: Michel M 

PROVIDER: S-EPMC4147911 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature