Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: https://www.flyrnai.org/tools/iproteindb
Full name: INTEGRATED PROTEIN DATABASE OF PTM FOR DROSOPHILA GENES
Description: an online integrated protein database and resource tool for providing information on post-translational modifications (PTMs) in Drosophila species.
Year founded: 2019
Last update: 2018
Version: v1.0.1
Accessibility:
Manual:
Accessible
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Country/Region: United States

Contact information

University/Institution: Harvard University
Address: New Research Building Perrimon Lab 77 Avenue Louis Pasteur Boston, MA
City: Boston
Province/State:
Country/Region: United States
Contact name (PI/Team): Yanhui Hu
Contact email (PI/Helpdesk): claire_hu@genetics.med.harvard.edu

Publications

30397019
iProteinDB: An Integrative Database of Post-translational Modifications. [PMID: 30397019]
Yanhui Hu, Richelle Sopko, Verena Chung, Marianna Foos, Romain A Studer, Sean D Landry, Daniel Liu, Leonard Rabinow, Florian Gnad, Pedro Beltrao, Norbert Perrimon

Post-translational modification (PTM) serves as a regulatory mechanism for protein function, influencing their stability, interactions, activity and localization, and is critical in many signaling pathways. The best characterized PTM is phosphorylation, whereby a phosphate is added to an acceptor residue, most commonly serine, threonine and tyrosine in metazoans. As proteins are often phosphorylated at multiple sites, identifying those sites that are important for function is a challenging problem. Considering that any given phosphorylation site might be non-functional, prioritizing evolutionarily conserved phosphosites provides a general strategy to identify the putative functional sites. To facilitate the identification of conserved phosphosites, we generated a large-scale phosphoproteomics dataset from embryos collected from six closely-related species. We built iProteinDB (https://www.flyrnai.org/tools/iproteindb/), a resource integrating these data with other high-throughput PTM datasets, including vertebrates, and manually curated information for At iProteinDB, scientists can view the PTM landscape for any protein and identify predicted functional phosphosites based on a comparative analysis of data from closely-related species. Further, iProteinDB enables comparison of PTM data from to that of orthologous proteins from other model organisms, including human, mouse, rat, , and

G3 (Bethesda). 2019:9(1) | 14 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
2603/6000 (56.633%)
Modification:
156/287 (45.993%)
2603
Total Rank
14
Citations
2.8
z-index

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Record metadata

Created on: 2019-01-04
Curated by:
Lin Liu [2022-07-31]
Dong Zou [2019-01-11]
Dong Zou [2019-01-04]