Author

Aayushi Verma

University of Washington

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

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Gian Marco VisaniiD· 1 shared William S. DeWittiD· 1 shared

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2026-2026 · peak 1/yr

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Gian Marco VisaniORCID

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BioinformaticsbioRxivPreprintApr 24, 2026

Additive baselines furnish no evidence for epistasis learning by MULTI-evolve

Gian Marco Visani, Aayushi Verma, William S. DeWitt

The paper shows that MULTI-evolve's multimutant predictions correlate closely with additive models, suggesting its performance is not due to epistasis learning.

2 citations

protein sequencestatistical model

𝕏 PostBluesky