Author

Zexin Lv

Zhejiang University of Technology

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· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 4 Research Focus:protein structure prediction· 3 Assay:protein sequence· 2 Assay:protein structure· 2 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Guijun ZhangiD· 4 shared Dongliang Hou· 3 shared Suhui WangiD· 3 shared Jian ZhuangiD· 2 shared Minghua HouiD· 2 shared Xinyue CuiiD· 2 shared Qihang ZheniD· 1 shared Xiaogen ZhouiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 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

4 shared papersBioinformatics

Guijun ZhangORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ForceFlowAb: physics-aware mixture-of-experts flow matching model for antibody CDRs design

Zonghui Li, Zexin Lv, Guijun Zhang

ForceFlowAb improves antibody CDR design by combining adaptive routing and physics-based guidance, achieving better interaction energies than existing methods.

bioRxiv · Sep 14, 2026 · PreprintBioinformatics

ProSiteHunter: A unified framework for sequence-based prediction of protein-nucleic acid and protein-protein binding sites

Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Mei Zhou, Xiaogen Zhou, Guijun Zhang

ProSiteHunter improves protein binding site prediction by integrating sequence-based features and a fine-tuned language model, achieving better performance than existing methods.

Advanced Science · Jun 2, 2026Peer-reviewedBioinformatics

High-accuracy structure modeling for antibody-antigen complexes

Suhui Wang, Jian Zhuang, Xinyue Cui, Zexin Lv, Dongliang Hou, Guijun Zhang

DeepAAAssembly improves antibody-antigen complex modeling by integrating dynamic interactions, outperforming AlphaFold3 on a benchmark set.

bioRxiv · Nov 3, 2025 · PreprintBioinformatics

MultiSAAI: Sequence-informed Antibody-Antigen Interactions Prediction using Multi-scale Deep Learning

Zexin Lv, Dongliang Hou, Minghua Hou, Suhui Wang, Jian Zhuang, Guijun Zhang

MultiSAAI predicts antibody-antigen interactions using a multi-scale deep learning framework, achieving high AUROC scores on benchmark datasets.

bioRxiv · May 29, 2025 · PreprintBioinformatics