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.
Authors
- Junhao Ma (ORCID: https://orcid.org/0009-0006-3308-5284)
- Xiao‐Lei Zhu (ORCID: https://orcid.org/0000-0002-5672-5209)
- J Yang (ORCID: https://orcid.org/0009-0004-1798-5018)
- Guang‐Fu Yang (ORCID: https://orcid.org/0000-0003-4384-2593)
- Zongwei Lu
- Fan Wang
Institutions
- Central China Normal University (CN)
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