UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction

Authors

Wenzhe Xu (ORCID: https://orcid.org/0000-0002-0227-1678)
Jie Wang (ORCID: https://orcid.org/0000-0001-6669-8171)
Xiaorong Liu (ORCID: https://orcid.org/0000-0002-8912-5066)
Dongfeng Hu
Fan Zhang (ORCID: https://orcid.org/0000-0002-1127-8353)

Institutions

Xihua University (CN)
Southwest Petroleum University (CN)
Southwest Jiaotong University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-09-27
DOI: https://doi.org/10.1093/bioinformatics/btaf512
Citations: 1
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 1.50

Funders

China Postdoctoral Science Foundation
Fundamental Research Funds for the Central Universities

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article

UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction

Wenzhe Xu, Jie Wang, Xiaorong Liu, Dongfeng Hu et al.

Sep 27, 2025

1 citations

Bioinformatics

Computational Drug Discovery Methods

1.50

article

UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction

Wenzhe Xu, Jie Wang, Xiaorong Liu, Dongfeng Hu, Fan Zhang

September 27, 2025article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

Xihua University (CN), Southwest Petroleum University (CN), Southwest Jiaotong University (CN)

China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities

Openalex Percentile: Top 13%

Computational Drug Discovery Methods

1.50

DOI Open Access PDF OpenAlex

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