Author

Yuliang Fan

Westlake 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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Approach:optimal transport· 1

Frequent Co-Authors

An‐Ping ZengiD· 2 shared Chenchen HaniD· 2 shared Fajie YuaniD· 2 shared Fengyuan Dai· 2 shared Jin SuiD· 2 shared Tong SiiD· 2 shared Xing ChangiD· 2 shared Yan HeiD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioengineering

An‐Ping ZengORCID

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Author profile →

3 papers

Recent·Most cited

Toward De Novo Protein Design from Natural Language

Fengyuan Dai, Shiyang You, Yudian Zhu, Yuan Gao, Lihao Fu, Xibin Zhou, Jin Su, Chentong Wang, Yuliang Fan, Qingsong Tan, Xiaoxiao Ma, Xianjun Deng, Letong Yu, Hui Qian, Yan He, , Fajie Yuan

This paper introduces Pinal, a foundation model that designs proteins from natural language descriptions, achieving functional alignment and experimental success in four design tasks.

Nature · Oct 21, 2026Peer-reviewedBioengineering

PocketX: Preference Alignment for Protein Pockets Design through Group Relative Policy Optimization

Yuliang Fan, Zaikai He, Bin Li, Bin He, Mingshu Zhang, Jian Zhang, Haicang Zhang

PocketX uses reinforcement learning to align protein pocket design with biophysical properties, outperforming existing methods on binding energy and evolutionary plausibility.

bioRxiv · Dec 28, 2025 · PreprintBioinformatics

Democratizing Protein Language Model Training, Sharing and Collaboration

Jin Su, Zhikai Li, Tianli Tao, Chenchen Han, Yan He, Fengyuan Dai, Qingyan Yuan, Yuan Gao, Tong Si, Xuting Zhang, Yuyang Zhou, Junjie Shan, Xibin Zhou, Xing Chang, Shiyu Jiang, , Sergey Ovchinnikov

The paper introduces SaprotHub, a platform that simplifies training and sharing of protein language models, enabling non-experts to build and collaborate on customized models.

Nature Biotechnology · Oct 24, 2025Peer-reviewedBioinformatics