Deep‐learning contact‐map guided protein structure prediction in CASP13-Reference-Cited by-同舟云学术

Deep‐learning contact‐map guided protein structure prediction in CASP13

Published:2019-08-14 Issue:12 Volume:87 Page:1149-1164
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Zheng Wei¹^ORCID,Li Yang¹²^ORCID,Zhang Chengxin¹^ORCID,Pearce Robin¹,Mortuza S. M.¹,Zhang Yang¹³^ORCID

Affiliation:

1. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor Michigan

2. School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

3. Department of Biological Chemistry University of Michigan Ann Arbor Michigan

Funder

Division of Biological Infrastructure

National Institute of Allergy and Infectious Diseases

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.25792

Reference55 articles.

1. Progress and challenges in protein structure prediction

2. Evaluation of the template-based modeling in CASP12

3. DunbrackR. Template‐based modeling assessment in CASP11. Paper presented at: 11th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction; April2014; Riviera Maya Mexico.

4. A Method to Identify Protein Sequences That Fold into a Known Three-Dimensional Structure

5. Protein homology detection by HMM-HMM comparison

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