DyAb: sequence-based antibody design and property prediction in a low-data regime
Joshua Yao-Yu Lin, Jennifer L Hofmann, Andrew Leaver-Fay, Wei-Ching Liang, Stefania Vasilaki, Edith Lee, Pedro O Pinheiro, Natasa Tagasovska, James R Kiefer, Yan Wu, Franziska Seeger, Richard Bonneau, Vladimir Gligorijevic, Andrew Watkins, Kyunghyun Cho, Nathan Frey · 2026
Read DyAb: sequence-based antibody design and property prediction in a low-data regime by Joshua Yao-Yu Lin, Jennifer L Hofmann, Andrew Leaver-Fay, Wei-Ching Liang, Stefania Vasilaki, Edith Lee, Pedro O Pinheiro, Natasa Tagasovska, James R Kiefer, Yan Wu, Franziska Seeger, Richard Bonneau, Vladimir Gligorijevic, Andrew Watkins, Kyunghyun Cho, Nathan Frey (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13531962.txt.
Description
Joshua Yao-Yu Lin and fourteen co-authors present DyAb, a model that designs antibodies and forecasts their traits when data are scarce. Drug design often stalls for lack of training cases. The study came out in twenty twenty-six.
Rather than forecast raw binding strength, DyAb forecasts gaps between pairs, built on a pre trained protein language model. With as few as a hundred training cases, it ranked binding well across antibodies for three targets. The team uses it two ways, to rank known mutation combos and, with a genetic search, to draft new sequences. Its designs bind at high rates, some over ten fold better than the lead.
Catalog record
| CREATOR | Joshua Yao-Yu Lin, Jennifer L Hofmann, Andrew Leaver-Fay, Wei-Ching Liang, Stefania Vasilaki, Edith Lee, Pedro O Pinheiro, Natasa Tagasovska, James R Kiefer, Yan Wu, Franziska Seeger, Richard Bonneau, Vladimir Gligorijevic, Andrew Watkins, Kyunghyun Cho, Nathan Frey |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |