Improving generalizability of drug–target binding prediction by pre-trained multi-view molecular representations

Authors

Chen Cui (ORCID: https://orcid.org/0000-0003-1221-4877)
Y. X. Feng
Li Zhang (ORCID: https://orcid.org/0000-0001-7914-0679)
Han Wang (ORCID: https://orcid.org/0000-0002-8557-7292)
Yunhe Li (ORCID: https://orcid.org/0000-0002-5656-0766)
Xike Ouyang

Institutions

Northeast Normal University (CN)
Changchun University of Technology (CN)

Publication Details

Journal: Bioinformatics
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioinformatics/btaf002
Citations: 6
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 2.17

Funders

National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Jilin Scientific and Technological Development Program

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article

Improving generalizability of drug–target binding prediction by pre-trained multi-view molecular representations

Chen Cui, Y. X. Feng, Li Zhang, Han Wang et al.

Dec 26, 2024

6 citations

Bioinformatics

Computational Drug Discovery Methods

2.17

article

Improving generalizability of drug–target binding prediction by pre-trained multi-view molecular representations

Chen Cui, Y. X. Feng, Li Zhang, Han Wang, Yunhe Li, Xike Ouyang

December 26, 2024article en

6 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(1)

Northeast Normal University (CN), Changchun University of Technology (CN)

National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Jilin Scientific and Technological Development Program

Openalex Percentile: Top 11%

Computational Drug Discovery Methods

2.17

DOI Open Access PDF OpenAlex

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