4.8 Article

dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications

Journal

NUCLEIC ACIDS RESEARCH
Volume 50, Issue D1, Pages D471-D479

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab1017

Keywords

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Funding

  1. National Natural Science Foundation of China [32070659]
  2. Science, Technology and Innovation Commission of Shenzhen Municipality [JCYJ20200109150003938]
  3. Guangdong Province Basic and Applied Basic Research Fund [2021A1515012447]
  4. Ganghong Young Scholar Development Fund [2021E007]
  5. Futian Project Preliminary Study Fund [P2-2021-ZYL-001-A]
  6. Warshel Institute for Computational Biology
  7. Chinese University of Hong Kong, Shenzhen

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This paper presents an update of dbPTM with over 2,777,000 PTM substrate sites, of which more than 2,235,000 entries are experimentally verified. The update includes 42 new modification types and collates regulatory information from databases into a protein-protein interaction network, shedding light on the association between PTMs and molecular functions.
Protein post-translational modifications (PTMs) play an important role in different cellular processes. In view of the importance of PTMs in cellular functions and the massive data accumulated by the rapid development of mass spectrometry (MS)-based proteomics, this paper presents an update of dbPTM with over 2 777 000 PTM substrate sites obtained from existing databases and manual curation of literature, of which more than 2 235 000 entries are experimentally verified. This update has manually curated over 42 new modification types that were not included in the previous version. Due to the increasing number of studies on the mechanism of PTMs in the past few years, a great deal of upstream regulatory proteins of PTM substrate sites have been revealed. The updated dbPTM thus collates regulatory information from databases and literature, and merges them into a protein-protein interaction network. To enhance the understanding of the association between PTMs and molecular functions/cellular processes, the functional annotations of PTMs are curated and integrated into the database. In addition, the existing PTM-related resources, including annotation databases and prediction tools are also renewed. Overall, in this update, we would like to provide users with the most abundant data and comprehensive annotations on PTMs of proteins. The updated dbPTM is now freely accessible at https://awi.cuhk.edu.cn/dbPTM/.

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