Author

Shuming Liu

Massachusetts Institute of TechnologyORCID 0000-0002-8569-5520Unclaimed 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 Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Assay:Hi-C· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

Bin ZhangiD· 2 shared Cong WangiD· 1 shared Ilona Christy UnartaiD· 1 shared Ivan RiverosiD· 1 shared Xingcheng LiniD· 1 shared Xuhui HuangiD· 1 shared Yumeng ZhangiD· 1 shared Yunrui QiuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBiophysics

Bin ZhangORCID

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2 papers

Recent·Most cited

MOFF2: A Transferable Coarse-Grained Protein Force Field for Predictive Condensate Simulations

Shuming Liu, Yumeng Zhang, Ivan Riveros, Cong Wang, Bin Zhang

The paper introduces MOFF2, a transferable coarse-grained protein force field that improves simulation accuracy for various protein types and predicts condensate behavior.

Journal of Chemical Theory and Computation · Aug 31, 2026Peer-reviewedBiophysics

Nucleosome condensate and linker DNA alter chromatin folding pathways and rates

Yunrui Qiu, Shuming Liu, Xingcheng Lin, Ilona Christy Unarta, Xuhui Huang, Bin Zhang

This study maps chromatin folding pathways and rates using a coarse-grained model, showing that linker DNA length and nucleosome condensate affect stability and structure.

Biophysical Journal · Nov 28, 2025Peer-reviewedBiophysics