Machine Learning of Three-Dimensional Protein Structures to Predict the Functional Impacts of Genome Variation-Reference-Cited by-同舟云学术

Machine Learning of Three-Dimensional Protein Structures to Predict the Functional Impacts of Genome Variation

Published:2024-04-18 Issue:13 Volume:64 Page:5328-5343
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Shukla Kriti¹^ORCID,Idanwekhai Kelvin¹²,Naradikian Martin³,Ting Stephanie¹⁴,Schoenberger Stephen P.³,Brunk Elizabeth¹⁵⁶⁴^ORCID

Affiliation:

1. Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States

2. School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States

3. La Jolla Institute for Immunology, San Diego, California 92093, United States

4. Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States

5. Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States

6. Integrative Program for Biological and Genome Sciences (IBGS), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States

Funder

University of California, San Diego

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01967

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