Author

Yao Fu

University of MichiganORCID 0000-0003-2282-4839Unclaimed ORCID profile · follow to get notified of new preprints

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Yao Fu2 papers

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Daniel Santos Perez· 1 shared Marissa DolorfinoiD· 1 shared Matthew J. O’MearaiD· 1 shared Sean McCarty· 1 shared Shu-Hang LiniD· 1 shared Terra SztainiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBiophysics

Daniel Santos Perez

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1 paper

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedSep 18, 2026

Assessing the Generalizability of Machine Learning and Physics-Based Methods with DNA-Encoded Libraries

Marissa Dolorfino, Daniel Santos Perez, Yao Fu…·Terra Sztain

The paper evaluates ML and physics-based methods for predicting protein-ligand binding using DNA-encoded libraries, finding that no single method consistently generalizes to out-of-distribution chemical space.

1 citation

proteomicsmachine learning (classical)

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