Author

Wenjuan Tan

ByteDance (China)

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein structure· 2 Approach:contrastive learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Qiaojing HuangiD· 2 shared Qilong Wu· 2 shared Wentao Li· 2 shared Chaowei Ren· 1 shared Gaodeng Li· 1 shared Haoyu S. YuiD· 1 shared Jian ZhangiD· 1 shared Jianzhu MaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

Qiaojing HuangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Programming Biomolecular Interactions with All-Atom Generative Model

Xiangzhe Kong, Junwei Chen, Ziting Zhang, Gaodeng Li, Qingyuan Zhu, L Wei, Mingyu Li, Yan Shi, Weiyang Dai, Zishen Zhang, Wenjuan Tan, Rui Jiao, Xiaolun Wang, Jiqing Zheng, Ziyang Yu, , Jianzhu Ma

This paper introduces AnewOmni, a generative model that designs biomolecules across scales by learning interaction patterns and physical constraints from 5 million complexes.

bioRxiv · Jun 4, 2026 · PreprintBioengineering

Learning the All-Atom Equilibrium Distribution of Biomolecular Interactions at Scale

Yusong Wang, Youjun Xu, Wentao Li, Haoyu S. Yu, Wenjuan Tan, Shaoning Li, Qiaojing Huang, Nanjun Chen, Xuan Wu, Qilong Wu, Kai Liu

AnewSampling is a generative model that accurately samples all-atom equilibrium distributions of biomolecular interactions, outperforming prior methods and enabling efficient exploration of conformational landscapes.

bioRxiv · Apr 29, 2026 · PreprintBioinformatics

Predicting PROTAC-targeted Degradation and Designing Androgen Receptor Degraders with AiPROTAC

Li Zhang, Renhong Sun, Xia Li, Chaowei Ren, Yahui Long, Wenjuan Tan, Xiaolong Wang, Ke Zou, Xiaobao Yang, Min Wu, Xiaoli Li, Xing Chen

AiPROTAC predicts PROTAC degradation potential and designs an androgen receptor degrader, outperforming existing models and showing improved in vitro efficacy.

bioRxiv · Feb 26, 2025 · PreprintBioinformatics