Evidence map›Paper›PMID 32849301›Full record

ReviewFrontiers in endocrinology2020

Computational Approaches for the Discovery of GPER Targeting Compounds.

Fedora Grande, Maria A Occhiuzzi, Rosamaria Lappano, Francesca Cirillo, Rita Guzzi, Antonio Garofalo, Yves Jacquot, Marcello Maggiolini, Bruno Rizzuti

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  16. GPER1 and microRNA: Two Players in Breast Cancer Progression.International journal of molecular sciences · 2020
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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

9 authors at 3 institutions in 2 countries.

Fedora GrandeDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Maria A OcchiuzziDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Rosamaria LappanoDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Francesca CirilloDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Rita GuzziDepartment of Physics, University of Calabria, Rende, Italy.
Antonio GarofaloDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Yves JacquotCibles Thérapeutiques et Conception de Médicaments (CiTCoM), CNRS UMR 8038, INSERM U1268, Faculté de Pharmacie de Paris, Université de Paris, Paris, France.
Marcello MaggioliniDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy.
Bruno RizzutiCNR-NANOTEC, Licryl-UOS Cosenza and CEMIF.Cal, Department of Physics, University of Calabria, Rende, Italy.
University of Calabria · ITIstituto di Nanotecnologia · ITUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estrogens exert a panel of biological activities mainly through the estrogen receptors α and β, which belong to the nuclear receptor superfamily. Diverse studies have shown that the G protein-coupled estrogen receptor 1 (GPER, previously known as GPR30) also mediates the multifaceted effects of estrogens in numerous pathophysiological events, including neurodegenerative, immune, metabolic, and cardiovascular disorders and the progression of different types of cancer. In particular, GPER is implicated in hormone-sensitive tumors, albeit diverse issues remain to be deeply investigated. As such, this receptor may represent an appealing target for therapeutics in different diseases. The yet unavailable complete GPER crystallographic structure, and its relatively low sequence similarity with the other members of the G protein-coupled receptor (GPCR) family, hamper the possibility to discover compounds able to modulate GPER activity. Consequently, a reliable molecular model of this receptor is required for the design of suitable ligands. To date, convergent approaches involving structure-based drug design and virtual ligand screening have led to the identification of several GPER selective ligands, thus providing important information regarding its mode of action and function. In this survey, we summarize results obtained through computer-aided techniques devoted to the assessment of GPER ligands toward their usefulness in innovative treatments of different diseases.

Indexed as

AnimalsComputational BiologyDrug DesignDrug DiscoveryGene Expression RegulationHumansLigandsPharmaceutical PreparationsReceptors, G-Protein-CoupledSignal TransductionSmall Molecule LibrariesLigandsPharmaceutical PreparationsReceptors, G-Protein-CoupledSmall Molecule Librariesdrug designestrogen receptorsG protein-coupled estrogen receptor 1ligandsmolecular dockingmolecular dynamics

Identifiers

PMID32849301
PMCPMC7417359
OpenAlexW3047042729

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.