Author

Jian Shen

ORCID 0000-0002-6642-1305Unclaimed 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· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Shengmin ZhouiD· 2 shared Xing CheiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBiophysics

Shengmin ZhouORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintMay 3, 2025

✦ In-depth digest

FKSFold: Improving AlphaFold3-Type Predictions of Molecular Glue-Induced Ternary Complexes with Feynman-Kac-Steered Diffusion

Jian Shen, Shengmin Zhou, Xing Che

Feynman-Kac steering with an ipTM reward at inference time lets Chai-1r recover three of eight molecular-glue ternary complexes below 3 Å without retraining.

4 citations

protein structurediffusion model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 28, 2024

FragLlama: Next-fragment prediction for molecular design

Jian Shen, Shengmin Zhou, Xing Che

FragLlama predicts next molecular fragments for drug design, generating molecules with desired properties and exploring novel chemical spaces.

DOI 10.1101/2024.09.28.615626

large language modeldrug response / drug discovery

𝕏 PostBluesky