Author

Alex J. Lee

Microsoft (United States)ORCID 0000-0002-0355-7248Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Ava P. AminiiD· 1 shared Carles Domingo-EnrichiD· 1 shared Chentong WangiD· 1 shared Garyk BrixiiD· 1 shared Kaeli Kaymak-LovelessiD· 1 shared Kevin YangiD· 1 shared Neil TenenholtziD· 1 shared Nicolò FusiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Ava P. AminiORCID

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1 paper

Recent·Most cited

The Dayhoff Atlas: scaling sequence diversity for improved protein generation

Kevin Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolò Fusi, Neil Tenenholtz, Ava P. Amini

The paper introduces the Dayhoff Atlas, a resource with large protein sequence datasets and generative models to improve protein design and prediction.

bioRxiv · Jul 21, 2025 · PreprintBioengineering