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GPT2-ICC:A data-driven approach for accurate ion channel identification using pre-trained large language models

Zihan Zhou Qiansen Zhang Juwen Shen Huaiyu Yang Yang Yu Chengji Yang Leyan Cao Shaoying Zhang Junnan Li Yingnan Zhang Huayun Han Guoliang Shi

药物分析学报（英文）2025，Vol.15Issue(8)：1800-1809,10.

药物分析学报（英文）2025，Vol.15Issue(8)：1800-1809,10.DOI:10.1016/j.jpha.2025.101302

GPT2-ICC:A data-driven approach for accurate ion channel identification using pre-trained large language models

Zihan Zhou ¹Qiansen Zhang ¹Juwen Shen ¹Huaiyu Yang ¹Yang Yu ²Chengji Yang ¹Leyan Cao ¹Shaoying Zhang ¹Junnan Li ¹Yingnan Zhang ¹Huayun Han ¹Guoliang Shi²

作者信息

1. Shanghai Key Laboratory of Regulatory Biology,Institute of Biomedical Sciences and School of Life Sciences,East China Normal University,Shanghai,200241,China
2. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing,210000,China
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摘要

关键词

Ion channel/Artificial intelligence/Representation learning/GPT2/Protein language model

Key words

Ion channel/Artificial intelligence/Representation learning/GPT2/Protein language model

引用本文复制引用

Zihan Zhou,Qiansen Zhang,Juwen Shen,Huaiyu Yang,Yang Yu,Chengji Yang,Leyan Cao,Shaoying Zhang,Junnan Li,Yingnan Zhang,Huayun Han,Guoliang Shi..GPT2-ICC:A data-driven approach for accurate ion channel identification using pre-trained large language models[J].药物分析学报（英文）,2025,15(8):1800-1809,10.

基金项目

This work is funded by grants from the National Key Research and Development Program of China(Grant Nos.:2022YFE0205600 and 2022YFC3400504),the National Natural Science Foundation of China(Grant Nos.:82373792 and 82273857),the Fundamental Research Funds for the Central Universities,China,and the East China Normal University Medicine and Health Joint Fund,China(Grant No.:2022JKXYD07001).We are also thankful for the support of the ECNU Multifunctional Platform for Innovation(001). （Grant Nos.:2022YFE0205600 and 2022YFC3400504）

药物分析学报（英文）

ISSN：2095-1779

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