Evidence map›Paper›PMID 24058518›Full record

ArticlePloS one2013

GOMoDo: A GPCRs online modeling and docking webserver.

Massimo Sandal, Tran Phuoc Duy, Matteo Cona, Hoang Zung, Paolo Carloni, Francesco Musiani, Alejandro Giorgetti

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

43 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Qsarna: An Online Tool for Smart Chemical Space Navigation in Drug Design.Journal of chemical information and modeling · 2025
    Article
  3. The development of diphenyleneiodonium analogs as GPR3 agonists.Bioorganic & medicinal chemistry letters · 2023
    Article
  4. pyGOMoDo: GPCRs modeling and docking with python.Bioinformatics (Oxford, England) · 2023
    Article
  5. Protons taken hostage: Dynamic H-bond networks of the pH-sensing GPR68.Computational and structural biotechnology journal · 2023
    Article
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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

7 authors at 5 institutions in 3 countries.

Massimo SandalDepartment of Biotechnology, University of Verona, Ca' Vignal 1, Verona, Italy.
Tran Phuoc Duy
Matteo Cona
Hoang Zung
Paolo Carloni
Francesco Musiani
Alejandro Giorgetti
University of Verona · ITVietnam National University Ho Chi Minh City · VNForschungszentrum Jülich · DEGerman Research School for Simulation Sciences · DEScuola Internazionale Superiore di Studi Avanzati · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein coupled receptors (GPCRs) are a superfamily of cell signaling membrane proteins that include >750 members in the human genome alone. They are the largest family of drug targets. The vast diversity and relevance of GPCRs contrasts with the paucity of structures available: only 21 unique GPCR structures have been experimentally determined as of the beginning of 2013. User-friendly modeling and small molecule docking tools are thus in great demand. While both GPCR structural predictions and docking servers exist separately, with GOMoDo (GPCR Online Modeling and Docking), we provide a web server to seamlessly model GPCR structures and dock ligands to the models in a single consistent pipeline. GOMoDo can automatically perform template choice, homology modeling and either blind or information-driven docking by combining together proven, state of the art bioinformatic tools. The web server gives the user the possibility of guiding the whole procedure. The GOMoDo server is freely accessible at http://molsim.sci.univr.it/gomodo.

Indexed as

Molecular Docking SimulationSoftwareAdrenergic AgonistsAdrenergic AntagonistsComputational BiologyDatabases, ProteinHumansInternetLigandsMolecular Dynamics SimulationProtein ConformationReceptors, Adrenergic, alpha-2Receptors, Adrenergic, beta-2Adrenergic AgonistsAdrenergic AntagonistsLigandsReceptors, Adrenergic, alpha-2Receptors, Adrenergic, beta-2

Identifiers

PMID24058518
PMCPMC3772745
OpenAlexW1979686694

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.