Evidence map›Paper›PMID 20689020›Full record

ArticleDatabase : the journal of biological databases and curation2010

GPCRs, G-proteins, effectors and their interactions: human-gpDB, a database employing visualization tools and data integration techniques.

Venkata P Satagopam, Margarita C Theodoropoulou, Christos K Stampolakis, Georgios A Pavlopoulos, Nikolaos C Papandreou, Pantelis G Bagos, Reinhard Schneider, Stavros J Hamodrakas

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Rapid transcriptomic and physiological changes in the freshwater pennate diatom Mayamaea pseudoterrestris in response to copper exposure.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  4. A Guide to Conquer the Biological Network Era Using Graph Theory.Frontiers in bioengineering and biotechnology · 2020
    Review
  5. Recent advances in computational studies of GPCR-G protein interactions.Advances in protein chemistry and structural biology · 2019
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

8 authors at 5 institutions in 4 countries.

Venkata P SatagopamStructural and Computational Biology Unit, EMBL, Meyerhofstrasse 1, Heidelberg D69117, Germany.
Margarita C Theodoropoulou
Christos K Stampolakis
Georgios A Pavlopoulos
Nikolaos C Papandreou
Pantelis G Bagos
Reinhard Schneider
Stavros J Hamodrakas
National and Kapodistrian University of Athens · GRInstitute of Cell Biophysics · RUEuropean Molecular Biology Laboratory · DEInstitute of Biophysics and Cell Engineering · BYTechnological Educational Institute of Central Greece · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein coupled receptors (GPCRs) are a major family of membrane receptors in eukaryotic cells. They play a crucial role in the communication of a cell with the environment. Ligands bind to GPCRs on the outside of the cell, activating them by causing a conformational change, and allowing them to bind to G-proteins. Through their interaction with G-proteins, several effector molecules are activated leading to many kinds of cellular and physiological responses. The great importance of GPCRs and their corresponding signal transduction pathways is indicated by the fact that they take part in many diverse disease processes and that a large part of efforts towards drug development today is focused on them. We present Human-gpDB, a database which currently holds information about 713 human GPCRs, 36 human G-proteins and 99 human effectors. The collection of information about the interactions between these molecules was done manually and the current version of Human-gpDB holds information for about 1663 connections between GPCRs and G-proteins and 1618 connections between G-proteins and effectors. Major advantages of Human-gpDB are the integration of several external data sources and the support of advanced visualization techniques. Human-gpDB is a simple, yet a powerful tool for researchers in the life sciences field as it integrates an up-to-date, carefully curated collection of human GPCRs, G-proteins, effectors and their interactions. The database may be a reference guide for medical and pharmaceutical research, especially in the areas of understanding human diseases and chemical and drug discovery. Database URLs: http://schneider.embl.de/human_gpdb; http://bioinformatics.biol.uoa.gr/human_gpdb/

Indexed as

Databases, FactualComputational BiologyComputer GraphicsDatabases, ProteinGTP-Binding ProteinsHumansLigandsProtein Interaction MappingReceptors, G-Protein-CoupledSignal TransductionStructural Homology, ProteinUser-Computer InterfaceGTP-Binding ProteinsLigandsReceptors, G-Protein-Coupled

Identifiers

PMID20689020
PMCPMC2931634
OpenAlexW2166780431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.