Call for Submissions: Role of Artificial Intelligence and Machine Learning in Antibody Science

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Jumper

, Evans

, Pritzel

, et al. Highly accurate protein structure prediction with AlphaFold. Nature, 2021; 596(7873):583–589; doi: 10.1038/s41586-021-03819-2

Watson

, Juergens

, Bennett

, et al. De novo design of protein structure and function with RFdiffusion. Nature, 2023; 620(7976):1089–1100; doi: 10.1038/s41586-023-06415-8

Vázquez Torres

, Benard Valle

, Mackessy

, et al. De novo designed proteins neutralize lethal snake venom toxins. Nature, 2025; doi: 10.1038/s41586-024-08393-x

Bennett

, Watson

, Ragotte

, et al. Atomically accurate de novo design of single-domain antibodies. bioRxiv, 2024; doi: 10.1101/2024.03.14.585103.

Musnier

, Dumet

, Mitra

, et al. Applying artificial intelligence to accelerate and de-risk antibody discovery. Front Drug Discov, 2024; 4; doi: 10.3389/fddsv.2024.1339697