PTMD 2.0: an updated database of disease-associated post-translational modifications

Area of Science:

• Biochemistry and Molecular Biology
• Genomics and Proteomics
• Computational Biology

Background:

• Post-translational modifications (PTMs) are crucial for protein function and biological processes.
• Aberrant PTM states are frequently implicated in human diseases, highlighting their pathological significance.

Purpose of the Study:

• To develop and present PTMD 2.0, a comprehensive database of PTMs associated with diseases.
• To provide a detailed resource for analyzing the intricate relationships between PTMs and human diseases.

Main Methods:

• Compiled 342,624 PTM-disease associations (PDAs) across 15,105 proteins, 93 PTM types, and 2,083 diseases.
• Classified PDAs into six categories based on PTM state changes (upregulation, downregulation, absence, presence, creation, disruption).
• Integrated extensive annotations from 101 resources covering diverse biological and disease-related aspects.

Main Results:

• PTMD 2.0 contains a large-scale dataset of PDAs with detailed annotations.
• The database integrates multi-faceted information, including protein interactions, functional annotations, and disease associations.
• The resource encompasses approximately 8 GB of data, offering a substantial volume for analysis.

Conclusions:

• PTMD 2.0 serves as a fundamental resource for researchers investigating PTMs and diseases.
• The database facilitates deeper understanding of PTM roles in disease pathogenesis.
• The freely available online service aims to accelerate biomedical research in PTM-disease relationships.