Author

Xianyue Jiang

Zhejiang Lab

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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Biochemistry· 1 Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:database / resource· 2 Approach:large language model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Meng-Hao GuoiD· 3 shared Xingxu HuangiD· 2 shared Baicheng HuangiD· 1 shared Da HaniD· 1 shared Ercheng WangiD· 1 shared Guangyong CheniD· 1 shared Guohui ChuaiiD· 1 shared Hua Lu· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersMicrobiology

Meng-Hao GuoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Unveiling the Evolution of Antimicrobial Peptides in Gut Microbes via Foundation Model-Powered Framework

Wenhui Li, Baicheng Huang, Meng-Hao Guo, Zihan Zeng, Tao Cai, Linqing Feng, Xinpeng Zhang, Lingfei Guo, Xianyue Jiang, Yanbin Yin, Ercheng Wang, Xingxu Huang, Jinfang Zheng

This paper introduces AMP-SEMiner, an AI framework for discovering antimicrobial peptides from metagenomes, identifying over 1.6 million candidates and validating their antimicrobial activity.

Cell Reports · May 28, 2025Peer-reviewedMicrobiology

Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature

Jinling Jiang, Jie Hu, Siwei Xie, Meng-Hao Guo, Yuhang Dong, Shuai Fu, Xianyue Jiang, Zhenlei Yue, Junchao Shi, Xiaoyu Zhang, Minghui Song, Guangyong Chen, Hua Lu, Xindong Wu, Pei Guo, , Jiezhong Qiu

The paper presents an LLM-based workflow for extracting enzyme kinetic data from literature, achieving high accuracy and efficiency.

bioRxiv · Mar 3, 2025 · PreprintBiochemistry

Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models

Wenhui Li, Xianyue Jiang, Wuke Wang, Liya Hou, Runze Cai, Yongqian Li, Qiuxi Gu, Qinchang Chen, Peixiang Ma, Jin Tang, Meng-Hao Guo, Guohui Chuai, Xingxu Huang, Jun Zhang, Qi Liu

The paper introduces CHOOSER, a foundation model-based framework for discovering CRISPR-Cas systems with self-processing pre-crRNA capability, identifying 11 novel homologs and validating one for functional use.

Nature Communications · Nov 19, 2024Peer-reviewedBioinformatics