Author

Xinjun Li

Shanghai Jiao Tong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:dimensionality reduction· 1 Assay:Hi-C· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Buyong MaiD· 1 shared Fan FengiD· 1 shared Ganggang BaiiD· 1 shared Hongxi Pu· 1 shared Jie LiuiD· 1 shared Mendi Yu· 1 shared Wai Yan LeungiD· 1 shared Yanyan XuiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBiophysics

Buyong MaORCID

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2 papers

Recent·Most cited

Deep learning of protein energy landscape and conformational dynamics from experimental structures in PDB

Yike Tang, Mendi Yu, Ganggang Bai, Xinjun Li, Yanyan Xu, Buyong Ma

This study develops DeepConformer, a diffusion model that learns protein conformational dynamics and energy landscapes from PDB structures and coevolution data, reproducing MD simulation results without using MD data.

bioRxiv · Jun 27, 2024 · PreprintBiophysics

scHiCTools: a computational toolbox for analyzing single cell Hi-C data

Xinjun Li, Fan Feng, Hongxi Pu, Wai Yan Leung, Jie Liu

scHiCTools provides a computational toolbox for analyzing single-cell Hi-C data, offering methods for smoothing, embedding, clustering, and visualization of chromatin organization.

PLoS Computational Biology · May 18, 2021Peer-reviewedBioinformatics