Template-based prediction of protein structure with deep learning.

Journal: BMC genomics
Published Date:

Abstract

BACKGROUND: Accurate prediction of protein structure is fundamentally important to understand biological function of proteins. Template-based modeling, including protein threading and homology modeling, is a popular method for protein tertiary structure prediction. However, accurate template-query alignment and template selection are still very challenging, especially for the proteins with only distant homologs available.

Authors

  • Haicang Zhang
    Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Yufeng Shen
    Department of Systems Biology, Columbia University, New York, NY, USA. ys2411@cumc.columbia.edu.