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dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications.
Li, Zhongyan; Li, Shangfu; Luo, Mengqi; Jhong, Jhih-Hua; Li, Wenshuo; Yao, Lantian; Pang, Yuxuan; Wang, Zhuo; Wang, Rulan; Ma, Renfei; Yu, Jinhan; Huang, Yuqi; Zhu, Xiaoning; Cheng, Qifan; Feng, Hexiang; Zhang, Jiahong; Wang, Chunxuan; Hsu, Justin Bo-Kai; Chang, Wen-Chi; Wei, Feng-Xiang; Huang, Hsien-Da; Lee, Tzong-Yi.
Afiliación
  • Li Z; The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen 518172, China.
  • Li S; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Luo M; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Jhong JH; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Li W; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Yao L; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Pang Y; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Wang Z; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Wang R; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Ma R; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Yu J; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Huang Y; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Zhu X; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Cheng Q; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Feng H; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Zhang J; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Wang C; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Hsu JB; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Chang WC; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Wei FX; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Huang HD; Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China.
  • Lee TY; School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Nucleic Acids Res ; 50(D1): D471-D479, 2022 01 07.
Article en En | MEDLINE | ID: mdl-34788852
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/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Procesamiento Proteico-Postraduccional / Bases de Datos de Proteínas / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Procesamiento Proteico-Postraduccional / Bases de Datos de Proteínas / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: China