Author

Samuel Maddrell-Mander

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1

Frequent Co-Authors

Daniel A. Martin-AlarconiD· 1 shared Dat P. TruongiD· 1 shared Dmitrij RappoportiD· 1 shared Jason W. RocksiD· 1 shared Joshua E. GoldfordiD· 1 shared Steve Crossan· 1 shared Toni M. LeeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

Daniel A. Martin-AlarconORCID

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1 paper

Recent·Most cited

Dual-encoder contrastive learning accelerates enzyme discovery

Jason W. Rocks, Dat P. Truong, Dmitrij Rappoport, Samuel Maddrell-Mander, Daniel A. Martin-Alarcon, Toni M. Lee, Steve Crossan, Joshua E. Goldford

This paper introduces Horizyn-1, a deep learning framework for enzyme discovery that improves performance with larger datasets and validates its effectiveness through experimental testing.

Proceedings of the National Academy of Sciences · Mar 17, 2026Peer-reviewedBiochemistry