An image-based protein–ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training

Authors

Hongxin Xiang (ORCID: https://orcid.org/0000-0001-8345-8735)
Linlin Hou (ORCID: https://orcid.org/0000-0001-7221-6220)
Shuting Jin (ORCID: https://orcid.org/0000-0002-8113-9367)
Xiangxiang Zeng (ORCID: https://orcid.org/0000-0001-6201-0114)
Li Zeng (ORCID: https://orcid.org/0000-0002-8879-951X)
Xinyu Yang (ORCID: https://orcid.org/0000-0001-5117-4914)
Sisi Yuan
Jianmin Wang (ORCID: https://orcid.org/0000-0001-6841-7943)
Lei Xu (ORCID: https://orcid.org/0000-0002-6440-6881)
Wenjie Du (ORCID: https://orcid.org/0000-0001-5698-4617)
Mingquan Liu (ORCID: https://orcid.org/0009-0000-2067-5118)
Jun Xia (ORCID: https://orcid.org/0000-0002-9942-430X)

Institutions

University of North Carolina at Charlotte (US)
University of Science and Technology of China (CN)
Hong Kong Baptist University (HK)
Anhui University (CN)
Hefei University of Technology (CN)
Hunan University (CN)
Shenzhen Polytechnic University (CN)
Yonsei University (KR)
Wuhan University of Technology (CN)
Westlake University (CN)
Shanghai CASB Biotechnology (China) (CN)
Wuhan Applied Science and Technology School (CN)
Wuhan University of Science and Technology (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-09-24
DOI: https://doi.org/10.1093/bioinformatics/btaf535
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Shenzhen Polytechnic
National Natural Science Foundation of China
Department of Education of Guangdong Province

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article

An image-based protein–ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training

Hongxin Xiang, Linlin Hou, Shuting Jin, Xiangxiang Zeng et al.

Sep 24, 2025

Bioinformatics

Computational Drug Discovery Methods

article

An image-based protein–ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training

Hongxin Xiang, Linlin Hou, Shuting Jin, Xiangxiang Zeng, Li Zeng, Xinyu Yang, Sisi Yuan, Jianmin Wang, Lei Xu, Wenjie Du, Mingquan Liu, Jun Xia

September 24, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

University of North Carolina at Charlotte (US), University of Science and Technology of China (CN), Hong Kong Baptist University (HK), Anhui University (CN), Hefei University of Technology (CN), Hunan University (CN), Shenzhen Polytechnic University (CN), Yonsei University (KR), Wuhan University of Technology (CN), Westlake University (CN), Shanghai CASB Biotechnology (China) (CN), Wuhan Applied Science and Technology School (CN), Wuhan University of Science and Technology (CN)

Shenzhen Polytechnic, National Natural Science Foundation of China, Department of Education of Guangdong Province

Openalex Percentile: Top 73%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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An image-based protein–ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training — Hongxin Xiang, Linlin Hou, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS