Author

Shenggeng Lin

Shanghai Jiao Tong UniversityORCID 0000-0001-6087-0102Unclaimed 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:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dong‐Qing WeiiD· 2 shared Heqi SuniD· 2 shared Hong‐Zhou TaniD· 2 shared Junwei CheniD· 2 shared Xueying Mao· 2 shared Yi XiongiD· 2 shared Yufang ZhangiD· 2 shared Jianwei ZhaoiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Dong‐Qing WeiORCID

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2 papers

Recent·Most cited

ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models

Hong‐Zhou Tan, Xiaowei Wei, Shenggeng Lin, Xueying Mao, Junwei Chen, Heqi Sun, Yufang Zhang, Zhenghong Zhou, Dong‐Qing Wei, Shuangjun Lin, Yi Xiong

ProStab predicts protein stability changes upon mutations using a deep learning framework combining sequence and structure information, showing strong performance and experimental validation.

bioRxiv · Aug 11, 2025 · PreprintBioinformatics

Target-specific design of drug-like PPI inhibitors via hot-spot-guided generative deep learning

Heqi Sun, Jiayi Li, Yufang Zhang, Shenggeng Lin, Junwei Chen, Hong‐Zhou Tan, Ruixuan Wang, Xueying Mao, Jianwei Zhao, Rongpei Li, Yi Xiong, Dong‐Qing Wei

This paper introduces Hot2Mol, a deep learning framework for designing drug-like PPI inhibitors by generating molecules that mimic hot-spot residues, showing improved performance over baselines.

bioRxiv · Oct 29, 2024 · PreprintBioinformatics