Evidence map›Paper›PMID 24227675›Full record

ArticleBioinformatics (Oxford, England)2014

PhosphoNetworks: a database for human phosphorylation networks.

Jianfei Hu, Hee-Sool Rho, Robert H Newman, Jin Zhang, Heng Zhu, Jiang Qian

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed.

  1. Trial
  2. Predicting Functional Diversity Within Enzyme Families: A Practical Perspective.Chembiochem : a European journal of chemical biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Journal of proteome research · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Functional Phosphoproteomics in Cancer Chemoresistance Using CRISPR-Mediated Base Editors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  13. Phosprof: pathway analysis database of drug response based on phosphorylation activity measurements.Database : the journal of biological databases and curation · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jianfei HuDepartment of Ophthalmology, Johns Hopkins School of Medicine, Department of Pharmacology and Molecular Sciences, Center for High-Throughput Biology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA, Department of Biology, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA and The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Hee-Sool Rho
Robert H Newman
Jin Zhang
Heng Zhu
Jiang Qian

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
Monospecific monoclonal antibodies against human transcription factorsU54HG006434 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BLACKSHAW, SETH, ZHU, HENG · 2011 to 2015
$13.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Mechanisms of Compartmentalized cAMP SignalingR01DK073368 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jin Zhang · 2006 to 2026
$7.6M
Lesch-Nyhan Disease: A Model for Complex Genetic, Proteomic & Metabolic PathwaysR24DK082840 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRIEDMANN, THEODORE · 2008 to 2012
$7.3M
Visual Programming Tool for Integrated Gene/Protein Networks in Cancer ResearchR44CA125807 · NCI · INCOGEN, INC. · PI SASINOWSKI, MACIEK · 2008 to 2011
$3.4M
DNA-Binding Activity of Human Transcription FactorsR01GM076102 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2014
$2.6M
Creating a Genetically Encodable Nano-Compass to Navigate in Molecular NetworksDP1CA174423 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, JIN · 2012 to 2014
$1.6M
Visual Programming Tool for Integration of Gene and Protein Cancer Profiling DataR43CA125807 · NCI · INCOGEN, INC. · PI SASINOWSKI, MACIEK · 2007 to 2007
$150k
NCI NIH HHS CA125807NCI NIH HHS CA160036NCI NIH HHS DP1 CA174423NCRR NIH HHS RR020839NHGRI NIH HHS HG006434NIDDK NIH HHS DK082840NIDDK NIH HHS R01 DK073368NIGMS NIH HHS GM076102NIGMS NIH HHS R01 GM076102
6 · The paper itself

Abstract

summaryPhosphorylation plays an important role in cellular signal transduction. Current phosphorylation-related databases often focus on the phosphorylation sites, which are mainly determined by mass spectrometry. Here, we present PhosphoNetworks, a phosphorylation database built on a high-resolution map of phosphorylation networks. This high-resolution map of phosphorylation networks provides not only the kinase-substrate relationships (KSRs), but also the specific phosphorylation sites on which the kinases act on the substrates. The database contains the most comprehensive dataset for KSRs, including the relationships from a recent high-throughput project for identification of KSRs using protein microarrays, as well as known KSRs curated from the literature. In addition, the database also includes several analytical tools for dissecting phosphorylation networks. PhosphoNetworks is expected to play a prominent role in proteomics and phosphorylation-related disease research. AVAILABILITY AND IMPLEMENTATION: http://www.phosphonetworks.org

Indexed as

Databases, ProteinHumansPhosphorylationPhosphotransferasesProtein Array AnalysisProteinsSignal TransductionSubstrate SpecificityTandem Mass SpectrometryPhosphotransferasesProteins

Identifiers

PMID24227675
PMCPMC3866559

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.