Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

dbPAF (Database of phospho-sites in Animals and Fungi)

General information

Description: The dbPAF (database of Phospho-sites in Animals and Fungi) is an online data resource specifically designed for protein phosphorylation in seven eukaryotic species, including H. sapiens, M. musculus, R. norvegicus, D. melanogaster, C. elegans, S. pombe and S. cerevisiae. From the scientific literature, 294,370 non-redundant phosphorylation sites of 40,432 proteins were collected. Phosphorylation sites from a number of public databases such as Phospho.ELM, dbPTM, PhosphoPep were integrated.
Year founded: 2016
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Country/Region: China
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Contact information

University/Institution: Huazhong University of Science and Technology
Address: Department of Bioinformatics & Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
City: Wuhan
Province/State:
Country/Region: China
Contact name (PI/Team): Yu Xue
Contact email (PI/Helpdesk): xueyu@hust.edu.cn

Record metadata

Created on: 2018-01-27
Curated by:
Farah Nazir [2018-04-07]

Ranking

All databases:
1479/4549 (67.509%)
Modification:
60/185 (68.108%)
1479
Total Rank
16
Citations
4
z-index

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Publications

27010073
dbPAF: an integrative database of protein phosphorylation in animals and fungi. [PMID: 27010073]
Ullah S, Lin S, Xu Y, Deng W, Ma L, Zhang Y, Liu Z, Xue Y.

Protein phosphorylation is one of the most important post-translational modifications (PTMs) and regulates a broad spectrum of biological processes. Recent progresses in phosphoproteomic identifications have generated a flood of phosphorylation sites, while the integration of these sites is an urgent need. In this work, we developed a curated database of dbPAF, containing known phosphorylation sites in H. sapiens, M. musculus, R. norvegicus, D. melanogaster, C. elegans, S. pombe and S. cerevisiae. From the scientific literature and public databases, we totally collected and integrated 54,148 phosphoproteins with 483,001 phosphorylation sites. Multiple options were provided for accessing the data, while original references and other annotations were also present for each phosphoprotein. Based on the new data set, we computationally detected significantly over-represented sequence motifs around phosphorylation sites, predicted potential kinases that are responsible for the modification of collected phospho-sites, and evolutionarily analyzed phosphorylation conservation states across different species. Besides to be largely consistent with previous reports, our results also proposed new features of phospho-regulation. Taken together, our database can be useful for further analyses of protein phosphorylation in human and other model organisms. The dbPAF database was implemented in PHP?+?MySQL and freely available at http://dbpaf.biocuckoo.org.

Sci Rep. 2016:6() | 16 Citations (from Europe PMC, 2020-02-08)