{"title":"dbPTM 2025 更新:全面整合 PTM 和蛋白质组数据,为癌症研究提供先进见解","authors":"Chia-Ru Chung, Yun Tang, Yen-Peng Chiu, Shangfu Li, Wen-Kai Hsieh, Lantian Yao, Ying-Chih Chiang, Yuxuan Pang, Guan-Ting Chen, Kai-Chen Chou, You Sheng Paik, Phuong Lam Tran, Cheng-Pei Lin, Yu-Min Kao, Yi-Jie Chen, Wen-Chi Chang, Justin Bo-Kai Hsu, Jorng-Tzong Horng, Tzong-Yi Lee","doi":"10.1093/nar/gkae1005","DOIUrl":null,"url":null,"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/.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"10 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"dbPTM 2025 update: comprehensive integration of PTMs and proteomic data for advanced insights into cancer research\",\"authors\":\"Chia-Ru Chung, Yun Tang, Yen-Peng Chiu, Shangfu Li, Wen-Kai Hsieh, Lantian Yao, Ying-Chih Chiang, Yuxuan Pang, Guan-Ting Chen, Kai-Chen Chou, You Sheng Paik, Phuong Lam Tran, Cheng-Pei Lin, Yu-Min Kao, Yi-Jie Chen, Wen-Chi Chang, Justin Bo-Kai Hsu, Jorng-Tzong Horng, Tzong-Yi Lee\",\"doi\":\"10.1093/nar/gkae1005\",\"DOIUrl\":null,\"url\":null,\"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. 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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/.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.