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

Author:

Li Zhongyan123,Li Shangfu3,Luo Mengqi3ORCID,Jhong Jhih-Hua3,Li Wenshuo34,Yao Lantian34,Pang Yuxuan34ORCID,Wang Zhuo3ORCID,Wang Rulan34,Ma Renfei3,Yu Jinhan3,Huang Yuqi23,Zhu Xiaoning23,Cheng Qifan23,Feng Hexiang23,Zhang Jiahong23,Wang Chunxuan23,Hsu Justin Bo-Kai5,Chang Wen-Chi6,Wei Feng-Xiang178,Huang Hsien-Da123ORCID,Lee Tzong-Yi23ORCID

Affiliation:

1. The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen 518172, China

2. School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China

3. Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China

4. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China

5. Department of Medical Research, Taipei Medical University Hospital, Taipei 110, Taiwan

6. Institute of Tropical Plant Sciences and Microbiology, National Cheng Kung University, Tainan 701, Taiwan

7. Department of Cell Biology, Jiamusi University, Jiamusi 154007, China

8. Shenzhen Children's Hospital of China Medical University, Shenzhen 518172, China

Abstract

Abstract 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/.

Funder

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Guangdong Province Basic and Applied Basic Research Fund

Ganghong Young Scholar Development Fund

Futian Project Preliminary Study Fund

Warshel Institute for Computational Biology

Chinese University of Hong Kong

Publisher

Oxford University Press (OUP)

Subject

Genetics

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