Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Aug 14, 2015
Abstract
MOTIVATION: Protein contact prediction is important for protein structure and functional study. Both evolutionary coupling (EC) analysis and supervised machine learning methods have been developed, making use of different information sources. However, contact prediction is still challenging especially for proteins without a large number of sequence homologs.