Author

Shaochuan Li

ORCID 0000-0002-7274-7459Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Assay:protein structure· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Beiqi Hongdu· 1 shared Chuan ShiiD· 1 shared Chunhui YangiD· 1 shared Chunmei LiiD· 1 shared Deyin GuoiD· 1 shared Edward Charles HolmesiD· 1 shared Hanzong LiiD· 1 shared Hui LiiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Beiqi Hongdu

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2 papers

Recent·Most cited

SegFinder: an automated tool for identifying RNA virus genome segments through co-occurrence in multiple sequenced samples

Xue Liu, Jianbin Kong, Yongtao Shan, Ziyue Yang, Jianxin Miao, Yuanfei Pan, Tianyang Luo, Zhiyuan Shi, Yingmei Wang, Qinyu Gou, Chunhui Yang, Hanzong Li, Chunmei Li, Shaochuan Li, Xu Zhang, , Mǎng Shī

SegFinder identifies RNA virus genome segments by analyzing co-occurrence across samples, discovering novel segments and expanding known segmented virus families.

Briefings in Bioinformatics · Jul 1, 2025Peer-reviewedBioinformatics

xTrimoDock: Rigid Protein Docking via Cross-Modal Representation Learning and Spectral Algorithm

Yujie Luo, Shaochuan Li, Yiwu Sun, Ruijia Wang, Tingting Tang, Beiqi Hongdu, Xingyi Cheng, Chuan Shi, Hui Li, Le Song

xTrimoDock improves rigid protein docking by combining cross-modal representation learning and spectral algorithms, outperforming existing methods in docking accuracy.

bioRxiv · Feb 6, 2023 · PreprintBioinformatics