Author

Changfu Li

Sichuan UniversityORCID 0000-0002-5480-3779Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Chengxi ZhaoiD· 1 shared Ding BaiiD· 1 shared Haixian ZhangiD· 1 shared Han WangiD· 1 shared Hang ZhaoiD· 1 shared Tiannan LiuiD· 1 shared Tianyi WangiD· 1 shared Xianglong HaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Chengxi ZhaoORCID

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1 paper

Recent·Most cited

An SE(3)-equivariant Crystal Structure Prediction Framework for Prospective Identification and Development of Bioactive Nucleoside Self-Assembling Materials

Zi Wang, Tianyi Wang, Haixian Zhang, Zhenyuan Huang, Chengxi Zhao, Changfu Li, Tiannan Liu, Ding Bai, Xianglong Han, Hang Zhao, Han Wang

The paper introduces SE3CSP, an SE(3)-equivariant deep-learning framework for crystal structure prediction of nucleosides, achieving 57% accuracy and enabling the discovery of bioactive self-assembling materials.

bioRxiv · May 29, 2026 · PreprintBioengineering