DeepQA: improving the estimation of single protein model quality with deep belief networks.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model pool consisting of mostly low-quality models, is still a largely unsolved problem.

Authors

  • Renzhi Cao
    Department of Computer Science, Pacific Lutheran University, Tacoma, WA, 98447, USA.
  • Debswapna Bhattacharya
    Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS, 67260, USA.
  • Jie Hou
    Department of Computer Science, University of Missouri, Columbia, MO, 65211, USA.
  • Jianlin Cheng
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.