ArticleNucleic acids research2014
EKPD: a hierarchical database of eukaryotic protein kinases and protein phosphatases.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 56 citations in OpenAlex.
- Comparative genomics and synteny analysis of PP2C phosphatases in modern and wild sugarcane cultivars for insights into abiotic stress response.Frontiers in plant science · 2025Article
- Orthogonal Translation for Site-Specific Installation of Post-translational Modifications.Chemical reviews · 2024Review
- Cell Cycle-Specific Protein Phosphatase 1 (PP1) Substrates Identification Using Genetically Modified Cell Lines.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Multi-omics landscape to decrypt the distinct flavonoid biosynthesis ofHorticulture research · 2024Article
- Article
- Revealing phosphorylation regulatory networks during embryogenesis of honey bee worker and drone (Frontiers in cell and developmental biology · 2022Article
- Protein Phosphorylation Response to Abiotic Stress in Plants.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Protein Phosphorylation Response to Abiotic Stress in Plants.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Global Quantitative Proteomics Studies Revealed Tissue-Preferential Expression and Phosphorylation of Regulatory Proteins inInternational journal of molecular sciences · 2020Article
- Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources.Clinical proteomics · 2020Review
- Phosphoproteomics Profiling of Cotton (ACS omega · 2019Article
- qPhos: a database of protein phosphorylation dynamics in humans.Nucleic acids research · 2019Article
- iEKPD 2.0: an update with rich annotations for eukaryotic protein kinases, protein phosphatases and proteins containing phosphoprotein-binding domains.Nucleic acids research · 2019Article
- The human DEPhOsphorylation Database DEPOD: 2019 update.Database : the journal of biological databases and curation · 2019Article
- Comparative qualitative phosphoproteomics analysis identifies shared phosphorylation motifs and associated biological processes in evolutionary divergent plants.Journal of proteomics · 2018Article
- THANATOS: an integrative data resource of proteins and post-translational modifications in the regulation of autophagy.Autophagy · 2018Article
- The serine/threonine phosphatases of apicomplexan parasites.Molecular microbiology · 2017Review
- Phosphoproteome Analysis Reveals Phosphorylation Underpinnings in the Brains of Nurse and Forager Honeybees (Apis mellifera).Scientific reports · 2017Article
- WERAM: a database of writers, erasers and readers of histone acetylation and methylation in eukaryotes.Nucleic acids research · 2017Article
- KiPho: malaria parasite kinome and phosphatome portal.Database : the journal of biological databases and curation · 2017Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.