EKPD Edit

Citations: 15

z-index: 3.75

Basic information
Short name EKPD
Full name Database of Eukaryotic Protein Kinases
Description EKPD is a hierarchical database of eukaryotic protein kinases (PKs) and protein phosphatases (PPs),the key molecules responsible for the reversible phosphorylation of proteins that are involved in almost all aspects of biological processes
URL http://ekpd.biocuckoo.org/
Year founded
Last update & version 9/10/2013 v1.1
Availability Free to all users
Contact information
University/Institution hosted Huazhong University of Science and Technology
Address epartment of Biomedical Engineering,College of Life Science and Technology,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China
City Wuhan
Province/State Hubei
Country/Region China
Contact name Yu Xue
Contact email xueyu@hust.edu.cn
Data information
Object(s)
Data type(s)
  • Protein
Data Category/Categories
  • Interaction
Major organism(s)
Keyword(s)
  • protein kinases (PKs)
  • protein phosphatases (PPs)
  • reversible phosphorylation
Publications
  • EKPD: a hierarchical database of eukaryotic protein kinases and protein phosphatases.[PMID: 24214991]
    Yongbo Wang, Zexian Liu, Han Cheng, Tianshun Gao, Zhicheng Pan, Qing Yang, Anyuan Guo, Yu Xue

    We present here EKPD (http://ekpd.biocuckoo.org), a hierarchical database of eukaryotic protein kinases (PKs) and protein phosphatases (PPs), the key molecules responsible for the reversible phosphorylation of proteins that are involved in almost all aspects of biological processes. As extensive experimental and computational efforts have been carried out to identify PKs and PPs, an integrative resource with detailed classification and annotation information would be of great value for both experimentalists and computational biologists. In this work, we first collected 1855 PKs and 347 PPs from the scientific literature and various public databases. Based on previously established rationales, we classified all of the known PKs and PPs into a hierarchical structure with three levels, i.e. group, family and individual PK/PP. There are 10 groups with 149 families for the PKs and 10 groups with 33 families for the PPs. We constructed 139 and 27 Hidden Markov Model profiles for PK and PP families, respectively. Then we systematically characterized ?50,000 PKs and >10,000 PPs in eukaryotes. In addition, >500 PKs and >400 PPs were computationally identified by ortholog search. Finally, the online service of the EKPD database was implemented in PHP + MySQL + JavaScript.

    Nucleic acids research 2014:42(Database issue)

    15 Citations (from Europe PMC, 2018-10-12)

Word cloud

Tags

Record metadata

  • Created on: 2015-06-21
    • SA Jian [2016-04-04]
    • SA Jian [2015-12-08]
    • SA Jian [2015-07-01]
    • SA Jian [2015-06-27]

Community reviews 0 stars (0 reviews)

Data
quality & quantity
Content
organization & presentation
System
accessibility & reliability
Reviewed by