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dbPTM 2025 update: comprehensive integration of PTMs and proteomic data for advanced insights into cancer research.

Authors :
Chung CR
Tang Y
Chiu YP
Li S
Hsieh WK
Yao L
Chiang YC
Pang Y
Chen GT
Chou KC
Paik YS
Tran PL
Lin CP
Kao YM
Chen YJ
Chang WC
Hsu JB
Horng JT
Lee TY
Source :
Nucleic acids research [Nucleic Acids Res] 2024 Nov 11. Date of Electronic Publication: 2024 Nov 11.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Post-translational modifications (PTMs) are essential for modulating protein function and influencing stability, activity and signaling processes. The dbPTM 2025 update significantly expands the database to include over 2.79 million PTM sites, of which 2.243 million are experimentally validated from 48 databases and over 80 000 research articles. This version integrates proteomic data from 13 cancer types, with a particular focus on phosphoproteomic data and kinase activity profiles, allowing the exploration of personalized phosphorylation patterns in tumor samples. Integrating kinase-substrate phosphorylations with E3 ligase-substrate interactions, dbPTM 2025 provides a detailed map of PTM regulatory networks, offering insights into cancer-specific post-translational regulations. This update also includes advanced search capabilities, enabling users to efficiently query PTM data across species, PTM types and modified residues. The platform's new features-interactive visualization tools and streamlined data downloads-allow researchers to access and analyze PTM data easily. dbPTM 2025 also enhances functional annotations, regulatory networks and disease associations, broadening its application for cancer research and the study of disease-associated PTMs. Through these enhancements, dbPTM 2025 is a comprehensive, user-friendly resource, facilitating the study of PTMs and their roles in cancer research. The database is now freely accessible at https://biomics.lab.nycu.edu.tw/dbPTM/.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
39526378
Full Text :
https://doi.org/10.1093/nar/gkae1005