Benchmarking drug–drug interaction prediction methods: a perspective of distribution changes

Authors

Mingyang Zhou (ORCID: https://orcid.org/0000-0002-9327-5956)
Quanming Yao (ORCID: https://orcid.org/0000-0001-8944-8618)
Yongqi Zhang (ORCID: https://orcid.org/0000-0003-2085-7418)
Zhenqian Shen (ORCID: https://orcid.org/0000-0003-4921-7000)

Institutions

Guangdong Polytechnic of Science and Technology (CN)
Space Engineering University (CN)
University of Hong Kong (HK)
Tsinghua University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-10-09
DOI: https://doi.org/10.1093/bioinformatics/btaf569
Citations: 1
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 1.50

Funders

National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province

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article

Benchmarking drug–drug interaction prediction methods: a perspective of distribution changes

Mingyang Zhou, Quanming Yao, Yongqi Zhang, Zhenqian Shen

Oct 9, 2025

1 citations

Bioinformatics

Computational Drug Discovery Methods

1.50

article

Benchmarking drug–drug interaction prediction methods: a perspective of distribution changes

Mingyang Zhou, Quanming Yao, Yongqi Zhang, Zhenqian Shen

October 9, 2025article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(11)

Guangdong Polytechnic of Science and Technology (CN), Space Engineering University (CN), University of Hong Kong (HK), Tsinghua University (CN)

National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Openalex Percentile: Top 12%

Computational Drug Discovery Methods

1.50

DOI Open Access PDF OpenAlex

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