Author

Wan Xiang Shen

Harvard UniversityORCID 0000-0001-7114-3664Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Marinka ŽitnikiD· 2 shared Andrew Nathanael SheniD· 1 shared Brenton P. Munson· 1 shared Katherine Licon· 1 shared Michelle M. LiiD· 1 shared Pengwei SuiiD· 1 shared Qi LiuiD· 1 shared Shanghua GaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Marinka ŽitnikORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 17, 2026

Medea: An AI agent for therapeutic reasoning across biological contexts

Pengwei Sui, Michelle M. Li, Brenton P. Munson…·Marinka Žitnik

Medea, an AI agent, performs therapeutic reasoning across biological contexts by preserving context, verifying steps, and reconciling evidence, outperforming existing models in multiple domains.

7 citations

yeastdeep learning

𝕏 PostBluesky

BioinformaticsNature Machine IntelligencePeer-reviewedNov 15, 2024

Efficient Generation of Protein Pockets with PocketGen

Zaixi Zhang, Wan Xiang Shen, Qi Liu, Marinka Žitnik

PocketGen generates high-fidelity protein pockets with superior binding affinity and structural validity, operating ten times faster than physics-based methods.

32 citationstop 2%

protein structuredeep learning

𝕏 PostBluesky