MPDD: A Curated Database Bridging Membrane Protein-Drug-Disease Landscapes

Abstract Membrane proteins (MPs) are vital drug targets, yet existing resources are fragmented across structural, pharmacological, and disease domains, limiting integrated exploration. To address this, we developed the Membrane Protein-Drug-Disease (MPDD) Database (https://chemyang.ccnu.edu.cn/ccb/server/MPDD/), a curated platform explicitly linking MPs, drugs, and diseases. MPDD currently includes 1523 MP targets, 589 diseases, and 18,489 drugs. It offers multi-dimensional query tools, interactive classification trees, drug property analysis, BLAST search, and co-target network visualization. By unifying the MP-drug-disease triad, MPDD aims to accelerate mechanistic studies, druggability evaluation, and targeted therapy discovery.

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Publication Details

Journal
ACS Omega
Published
2026-10-09
DOI
https://doi.org/10.1021/acsomega.6c07804
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

MPDD: A Curated Database Bridging Membrane Protein-Drug-Disease Landscapes

Junhao Ma, Xiao‐Lei Zhu, J Yang, Guang‐Fu Yang et al.
ACS Omega
Computational Drug Discovery Methods
article

MPDD: A Curated Database Bridging Membrane Protein-Drug-Disease Landscapes

Junhao Ma, Xiao‐Lei Zhu, J Yang, Guang‐Fu Yang, Zongwei Lu, Fan Wang
article en

Abstract

Abstract Membrane proteins (MPs) are vital drug targets, yet existing resources are fragmented across structural, pharmacological, and disease domains, limiting integrated exploration. To address this, we developed the Membrane Protein-Drug-Disease (MPDD) Database (https://chemyang.ccnu.edu.cn/ccb/server/MPDD/), a curated platform explicitly linking MPs, drugs, and diseases. MPDD currently includes 1523 MP targets, 589 diseases, and 18,489 drugs. It offers multi-dimensional query tools, interactive classification trees, drug property analysis, BLAST search, and co-target network visualization. By unifying the MP-drug-disease triad, MPDD aims to accelerate mechanistic studies, druggability evaluation, and targeted therapy discovery.

ACS Omega
Central China Normal University (CN)
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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