Evidence map›Paper›PMID 30397019›Full record

ArticleG3 (Bethesda, Md.)2019

iProteinDB: An Integrative Database of

Yanhui Hu, Richelle Sopko, Verena Chung, Marianna Foos, Romain A Studer, Sean D Landry, Daniel Liu, Leonard Rabinow, Florian Gnad, Pedro Beltrao and 1 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Phosphoinositide Recognition Sites Are Blocked by Metabolite Attachment.Frontiers in cell and developmental biology · 2021
    Article
  18. Article
  19. Article
  20. Article
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

11 authors.

Yanhui HuDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.ORCID 0000-0003-1494-1402
Richelle SopkoDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.
Verena ChungDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.
Marianna FoosDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.
Romain A StuderEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Sean D LandryDepartment of Bioinformatics, Cell Signaling Technology Inc., 3 Trask Lane, Danvers, MA 01923.
Daniel LiuDrosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.
Leonard RabinowDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115.
Florian GnadDepartment of Bioinformatics, Cell Signaling Technology Inc., 3 Trask Lane, Danvers, MA 01923.
Pedro BeltraoEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Norbert PerrimonDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115 perrimon@receptor.med.harvard.edu.ORCID 0000-0001-7542-472X

Funding

Tuberous Sclerosis-Pathway and PathogenesisP01CA120964 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI David J. Kwiatkowski · 2007 to 2026
$35.9M
New collections of dsRNAs and overexpression miRNA constructs to supplement RNAiR01GM067761 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI PERRIMON, NORBERT · 2003 to 2019
$15.5M
Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
Characterization of the Insulin to Autophagy Pathway in MusclesR01AR057352 · NIAMS · HARVARD MEDICAL SCHOOL · PI NORBERT PERRIMON · 2010 to 2026
$8.2M
Network analysis of Signal TransductionR01DK088718 · NIDDK · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2010 to 2014
$2.5M
NCI NIH HHS P01 CA120964NIAMS NIH HHS R01 AR057352NIDDK NIH HHS R01 DK088718NIGMS NIH HHS R01 GM067761NIGMS NIH HHS R01 GM084947
6 · The paper itself

Abstract

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

Indexed as

Databases, ProteinAnimalsDrosophilaDrosophila ProteinsHumansPhosphorylationProtein Processing, Post-TranslationalProteomicsSignal TransductionDrosophila ProteinsDrosophilaphosphoproteomicspost-translational modification

Identifiers

PMID30397019
PMCPMC6325894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.