Author

Wenxian Shi

Massachusetts Institute of TechnologyORCID 0009-0009-9135-3680Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Jeremy WohlwendiD· 2 shared Demitri Nava· 1 shared Gabriele CorsoiD· 1 shared Hannes StarkiD· 1 shared Jack Bates· 1 shared Luca Cavalleri· 1 shared Menghua WuiD· 1 shared Regina BarzilayiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Jeremy WohlwendORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 27, 2026

BoltzProt-1: Towards Efficient De Novo Binder Design with Good Developability

Talip Uçar, Jack Bates, Yunguan Fu…·Saro Passaro

BoltzProt-1 improves nanobody design for protein targets by increasing hit rates and developability compared to existing methods.

DOI 10.64898/2026.06.23.733997

protein sequencedeep learning

𝕏 PostBluesky

ImmunologyNature MedicinePeer-reviewedAug 28, 2025

VaxSeer: Selecting influenza vaccines through evolutionary and antigenicity models

Wenxian Shi, Jeremy Wohlwend, Menghua Wu, Regina Barzilay

VaxSeer selects influenza vaccine strains using evolutionary and antigenicity models to predict future effectiveness, outperforming annual recommendations.

30 citationstop 1%

virusproteomics

𝕏 PostBluesky