A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins-Reference-Cited by-同舟云学术

A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins

Published:2021-07-08 Issue:8 Volume:20 Page:4089-4100
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Li Bian¹²^ORCID,Mendenhall Jeffrey²³,Capra John A.⁴,Meiler Jens²³⁵

Affiliation:

1. Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee 37203, United States

2. Center for Structural Biology, Vanderbilt University, Nashville, Tennessee 37203, United States

3. Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37203, United States

4. Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94143, United States

5. Institute for Drug Discovery, University Leipzig Medical School, Leipzig 04109, Germany

Funder

National Heart, Lung, and Blood Institute

American Heart Association

Deutsche Forschungsgemeinschaft

National Institute on Drug Abuse

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.1c00410

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3. Assessing the accuracy of contact predictions in CASP13

4. Improved protein structure prediction using potentials from deep learning

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