MetaMDA: explainable prediction of microbe–drug association utilizing random walks on a microbe–metabolite–drug heterogeneous network

Authors

Xiaoping Miao (ORCID: https://orcid.org/0000-0002-6818-9722)
Qi Wang (ORCID: https://orcid.org/0000-0002-2246-1401)
Yuntao Liu (ORCID: https://orcid.org/0000-0003-4033-2133)
Shuting Chen (ORCID: https://orcid.org/0009-0001-3263-0096)
Bingqiang Liu (ORCID: https://orcid.org/0000-0002-5734-1135)

Institutions

Shandong University (CN)
Shandong Management University (CN)
State Key Laboratory of Cryptology (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-11-28
DOI: https://doi.org/10.1093/bioinformatics/btaf649
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

MetaMDA: explainable prediction of microbe–drug association utilizing random walks on a microbe–metabolite–drug heterogeneous network

Xiaoping Miao, Qi Wang, Yuntao Liu, Shuting Chen et al.

Nov 28, 2025

Bioinformatics

Computational Drug Discovery Methods

article

MetaMDA: explainable prediction of microbe–drug association utilizing random walks on a microbe–metabolite–drug heterogeneous network

Xiaoping Miao, Qi Wang, Yuntao Liu, Shuting Chen, Bingqiang Liu

November 28, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(12)

Shandong University (CN), Shandong Management University (CN), State Key Laboratory of Cryptology (CN)

Openalex Percentile: Top 62%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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