Generative artificial intelligence performs rudimentary structural biology modeling-Reference-Cited by-同舟云学术

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Generative artificial intelligence performs rudimentary structural biology modeling

Published:2024-08-21 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Ille Alexander M.,Markosian Christopher,Burley Stephen K.,Mathews Michael B.,Pasqualini Renata,Arap Wadih

Funder

National Science Foundation

U.S. Department of Energy

National Institutes of Health

Levy-Longenbaugh Donor-Advised Fund

Rutgers Cancer Institute

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-69021-2.pdf

Reference63 articles.

1. Jordan, M. I. & Mitchell, T. M. Machine learning: Trends, perspectives, and prospects. Science 349, 255–260. https://doi.org/10.1126/science.aaa8415 (2015).

2. Wang, H. et al. Scientific discovery in the age of artificial intelligence. Nature 620, 47–60. https://doi.org/10.1038/s41586-023-06221-2 (2023).

3. Jumper, J. et al. Highly accurate protein structure prediction with alphafold. Nature 596, 583–589. https://doi.org/10.1038/s41586-021-03819-2 (2021).

4. Baek, M. et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science 373, 871–876. https://doi.org/10.1126/science.abj8754 (2021).

5. Kryshtafovych, A., Schwede, T., Topf, M., Fidelis, K. & Moult, J. Critical assessment of methods of protein structure prediction (CASP)-round XIV. Proteins 89, 1607–1617. https://doi.org/10.1002/prot.26237 (2021).

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