Author

Da Han

Hangzhou Institute of Medicine, Chinese Academy of SciencesORCID 0000-0002-0804-2964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:graph neural network· 1 Approach:large language model· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Guangyong CheniD· 2 shared Boxiang LiuiD· 1 shared Bryan WeiiD· 1 shared Hua Lu· 1 shared Huangchen Cui· 1 shared Jiayi ZhangiD· 1 shared Jie HuiD· 1 shared Jiezhong QiuiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBiochemistry

Guangyong ChenORCID

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Author profile →

3 papers

Recent·Most cited

Light-up nanostructures with allosteric DNA mimics of GFP

Tianqing Zhang, Xinmin Qian, Jiayi Zhang, Huangchen Cui, Tanxi Bai, Wen Wang, Yuxin Wang, Zhaoli Gao, Da Han, Wenwen Zeng, Bryan Wei

This paper describes the design of synthetic allosteric DNA aptamers with tunable fluorescent properties and their application in DNA computing and responsive nanostructures.

bioRxiv · Jul 10, 2025 · PreprintSynthetic Biology

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

siRNADesign: A Graph Neural Network for siRNA Efficacy Prediction via Deep RNA Sequence Analysis

Rongzhuo Long, Ziyu Guo, Da Han, Boxiang Liu, Xudong Yuan, Guangyong Chen, Pheng‐Ann Heng, Liang Zhang

siRNADesign uses a Graph Neural Network to predict siRNA efficacy by analyzing RNA sequences and interactions, achieving state-of-the-art performance in both computational and experimental settings.

Briefings in Bioinformatics · Sep 23, 2024Peer-reviewedBioinformatics