Author

Suyang Duan

Northwestern Polytechnical 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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Chenxi GaoiD· 3 shared Gang Li· 3 shared Hui‐Meng LuiD· 3 shared Yifeng ZhangiD· 3 shared Chang XuiD· 2 shared Tianmin Zhang· 2 shared Xuanxiao Yang· 2 shared Yangming Yin· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBioinformatics

Chenxi GaoORCID

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Author profile →

3 papers

Recent·Most cited

Class-wide sequence, structural, and docking-profile diversity of insect odorant receptors and structural specialization of Orco

Tianmin Zhang, Xuanxiao Yang, Yufang Fu, Wei Xue, Yifeng Zhang, Suyang Duan, Yangming Yin, Yi Guo, Chenxi Gao, Yang Liu, Gang Li, Chang Shui Xu, Hui‐Meng Lu

The paper analyzes insect odorant receptor (OR) diversity across 115 species using sequence, structure, and docking profiles, finding associations with diet and habitat and identifying a conserved Orco domain.

bioRxiv · Sep 28, 2026 · PreprintEvolutionary Biology

Cross-attention and language models reveal the interpretability of functional predictions for the human olfactory receptor family

Yifeng Zhang, Zihuai Xu, Chenxi Gao, Suyang Duan, Gang Li, Chang Xu, Hui‐Meng Lu

This study introduces CrossVOI, a framework for VOC-OR interaction prediction using protein language models and cross-attention, showing improved performance and interpretability of attention mechanisms in human olfactory receptors.

bioRxiv · Aug 18, 2026 · PreprintBioinformatics

Transfer learning reveals species-specific olfactory preferences in Diptera and informs pest management strategies

Yifeng Zhang, Li Xu, Chenxi Gao, Tianmin Zhang, Suyang Duan, Yangming Yin, Xuanxiao Yang, Qingbin Sun, Xinghua Qin, Gang Li, Chang Xu, Hong‐Bo Jiang, Hui‐Meng Lu

This study develops a transfer learning model to predict volatile-odorant receptor interactions in Diptera, revealing species-specific olfactory preferences and informing pest management strategies.

bioRxiv · Jul 6, 2026 · PreprintBioinformatics