Author

Liu Cheng

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· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Zhangsheng YuiD· 2 shared Hai-Feng Chen· 1 shared Haifeng CheniD· 1 shared Kaipeng Zheng· 1 shared Ting WeiiD· 1 shared Weiran HuangiD· 1 shared Xiaochen Cui· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Zhangsheng YuORCID

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2 papers

Recent·Most cited

Probing Physical Intuition in Large Language Models through Partner-Dependent Mutation Prediction

Liu Cheng, Kaipeng Zheng, Weiran Huang, Hai-Feng Chen, Zhangsheng Yu

This study evaluates LLMs' ability to predict mutation effects based on structural data without using dedicated predictors, finding comparable accuracy to existing methods.

bioRxiv · Oct 12, 2026 · PreprintBioinformatics

ProDualNet: Dual-Target Protein Sequence Design Method Based on Protein Language Model and Structure Model

Liu Cheng, Ting Wei, Xiaochen Cui, Haifeng Chen, Zhangsheng Yu

ProDualNet designs dual-target protein sequences by integrating sequence-structure information from two receptors, showing better recovery and success rates than existing methods.

Briefings in Bioinformatics · Jul 1, 2025Peer-reviewedBioinformatics