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PTMD: A Database of Human Disease-associated Post-translational Modifications
Haodong Xu1, Yongbo Wang1, Shaofeng Lin1
1Department of Bioinformatics & Systems Biology, MOE Key Laboratory of Molecular Biophysics, College of Life Science and Technology and the Collaborative Innovation Center for Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
A new database, PTMD, catalogs 1950 posttranslational modification-disease associations (PDAs) across 749 proteins. This resource aids research into how PTMs, like phosphorylation, impact diseases such as neurologic disorders and cancers.
Area of Science:
- Biochemistry and Molecular Biology
- Genomics and Proteomics
- Computational Biology
Background:
- Posttranslational modifications (PTMs) are crucial for protein function and implicated in various human diseases.
- Understanding PTM-disease associations (PDAs) is vital for both research and clinical applications.
- A comprehensive resource for PDAs is needed to facilitate these efforts.
Purpose of the Study:
- To develop PTMD, a curated database of PTM-disease associations.
- To provide a centralized and accessible resource for researchers studying PTMs and diseases.
- To analyze trends and patterns in PTM-disease relationships.
Main Methods:
- Manual literature curation to collect known PDAs.
- Data compilation of 1950 PDAs involving 749 proteins, 23 PTM types, and 275 diseases.
- Database development with detailed annotations and accessibility.
Main Results:
- PTMD contains 1950 manually curated PDAs.
- Phosphorylation shows the most disease associations; neurologic diseases have the most PTM associations.
- Upregulation and presence of PTM events are predominant in disease associations; AKT1 and breast cancer are highlighted.
Conclusions:
- The PTMD database is a valuable resource for exploring PTM-disease relationships.
- It offers detailed annotations and facilitates further analysis of PTMs in human diseases.
- PTMD is freely accessible online for the scientific community.
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