Protein sector analysis for the clustering of disease-associated mutations.

ABSTRACT:

Background

The importance of mutations in disease phenotype has been studied, with information available in databases such as OMIM. However, it remains a research challenge for the possibility of clustering amino acid residues based on an underlying interaction, such as co-evolution, to understand how mutations in these related sites can lead to different disease phenotypes.

Results

This paper presents an integrative approach to identify groups of co-evolving residues, known as protein sectors. By studying a protein family using multiple sequence alignments and statistical coupling analysis, we attempted to determine if it is possible that these groups of residues could be related to disease phenotypes. After the protein sectors were identified, disease-associated residues w

SUBMITTER: Guevara-Coto J 

PROVIDER: S-EPMC4304181 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature