Author

Zequn Liu

Peking 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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bin FengiD· 1 shared Fusong JuiD· 1 shared Haiguang LiuiD· 1 shared Hanwen XuiD· 1 shared Haomiao Zhang· 1 shared Huanhuan XiaiD· 1 shared Jiaran Hao· 1 shared Jiaying Xu· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bin FengORCID

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2 papers

Recent·Most cited

Phenotype-Guided In Silico Molecular Generation Using Large Language Models

Qun Jiang, Xing Ye, Zekun Guo, Yingce Xia, Zequn Liu, Jiaying Xu, Peiran Jin, Fusong Ju, Huanhuan Xia, Shangya Feng, Rui Jiang, Haiguang Liu, Tao Qin, Pan Deng, Sida Shao

GEMGen generates small molecules from transcriptomic data to phenocopy gene knockdown effects and identify novel inhibitors.

bioRxiv · Jan 5, 2026 · PreprintCell Biology

A foundation model for bioactivity prediction using pairwise meta-learning

Bin Feng, Zequn Liu, Nanlan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

ActFound is a foundation model for bioactivity prediction trained on 2.3 million compounds and 50,869 assays, showing strong generalization and performance comparable to FEP+(OPLS4).

bioRxiv · Oct 30, 2023 · PreprintBioinformatics