Deep learning techniques have significantly impacted protein structure prediction and protein design-Reference-Cited by-同舟云学术

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Deep learning techniques have significantly impacted protein structure prediction and protein design

Published:2021-06 Issue: Volume:68 Page:194-207
ISSN:0959-440X
Container-title:Current Opinion in Structural Biology
language:en
Short-container-title:Current Opinion in Structural Biology

Author:

Pearce Robin^ORCID,Zhang Yang

Funder

National Science Foundation

National Institute of General Medical Sciences

National Institute of Allergy and Infectious Diseases

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference68 articles.

1. Deep learning;LeCun;Nature,2015

2. MUSTER: improving protein sequence profile-profile alignments by using multiple sources of structure information;Wu;Proteins Struct Funct Bioinf,2008

3. Protein homology detection by HMM-HMM comparison;Soding;Bioinformatics,2005

4. LOMETS2: improved meta-threading server for fold-recognition and structure-based function annotation for distant-homology proteins;Zheng;Nucleic Acids Res,2019

5. Progress and challenges in protein structure prediction;Zhang;Curr Opin Struct Biol,2008

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