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

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/.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-11
DOI
https://doi.org/10.1093/nar/gkae1005
Citations
27
Primary Topic
Ubiquitin and proteasome pathways
Type
article
Field-Weighted Citation Impact
6.31

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article

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

Tzong-Yi Lee, Justin Bo‐Kai Hsu, Jorng‐Tzong Horng, Wen‐Chi Chang et al.
27 citations
Nucleic Acids Research
Ubiquitin and proteasome pathways
6.31
article

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

Tzong-Yi Lee, Justin Bo‐Kai Hsu, Jorng‐Tzong Horng, Wen‐Chi Chang, Yeh‐Chih Kao, Shangfu Li, Ying‐Chih Chiang, Phuong T. Tran, Cheng‐Pei Lin, Chia‐Ru Chung, Yuxuan Pang, Lantian Yao, Kai-Chen Chou, Guan-Ting Chen, Yen-Peng Chiu, Yun Tang, Yijie Chen, Y. K. Paik, Wanhua Annie Hsieh
article en
27 citations

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/.

Nucleic Acids ResearchVol. 53(D1)
National Yang Ming Chiao Tung University (TW), National Central University (TW), Chinese University of Hong Kong, Shenzhen (CN), Institute of Bioinformatics (IN), The University of Tokyo (JP), National Cheng Kung University (TW), Yuan Ze University (TW)
Ministry of Higher Education and Scientific Research, National Health Research Institutes, National Science and Technology Council
Openalex Percentile: Top 3%
Ubiquitin and proteasome pathways
6.31
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