Learning meaningful representations of protein sequences
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DOI: 10.1038/s41467-022-29443-w
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- Jonathan Frazer & Pascal Notin & Mafalda Dias & Aidan Gomez & Joseph K. Min & Kelly Brock & Yarin Gal & Debora S. Marks, 2021. "Disease variant prediction with deep generative models of evolutionary data," Nature, Nature, vol. 599(7883), pages 91-95, November.
- Jung-Eun Shin & Adam J. Riesselman & Aaron W. Kollasch & Conor McMahon & Elana Simon & Chris Sander & Aashish Manglik & Andrew C. Kruse & Debora S. Marks, 2021. "Protein design and variant prediction using autoregressive generative models," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
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- Allen Y. Leary & Darius Scott & Namita T. Gupta & Janelle C. Waite & Dimitris Skokos & Gurinder S. Atwal & Peter G. Hawkins, 2024. "Designing meaningful continuous representations of T cell receptor sequences with deep generative models," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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