A new ensemble coevolution system for detecting HIV-1 protein coevolution.

ABSTRACT:

Background

A key challenge in the field of HIV-1 protein evolution is the identification of coevolving amino acids at the molecular level. In the past decades, many sequence-based methods have been designed to detect position-specific coevolution within and between different proteins. However, an ensemble coevolution system that integrates different methods to improve the detection of HIV-1 protein coevolution has not been developed.

Results

We integrated 27 sequence-based prediction methods published between 2004 and 2013 into an ensemble coevolution system. This system allowed combinations of different sequence-based methods for coevolution predictions. Using HIV-1 protein structures and experimental data, we evaluated the performance of individual and combined sequence-ba

SUBMITTER: Li G 

PROVIDER: S-EPMC4332441 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature