Evidence map›Paper›PMID 31548507›Full record

ArticleInternational journal of molecular sciences2019

Investigation of Phospholipase Cγ1 Interaction with SLP76 Using Molecular Modeling Methods for Identifying Novel Inhibitors.

Neha Tripathi, Iyanar Vetrivel, Stéphane Téletchéa, Mickaël Jean, Patrick Legembre, Adèle D Laurent

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Neha TripathiCEISAM UMR CNRS 6230, UFR Sciences et Techniques, Université de Nantes, 44322 Nantes CEDEX 3, France. neha.tripathi@univ-nantes.fr.
Iyanar VetrivelCEISAM UMR CNRS 6230, UFR Sciences et Techniques, Université de Nantes, 44322 Nantes CEDEX 3, France. iyanar.vetrivel@univ-nantes.fr.
Stéphane TéletchéaUFIP UMR CNRS 6286, UFR Sciences et Techniques, Université de Nantes, 44322 Nantes CEDEX 3, France. stephane.teletchea@univ-nantes.fr.
Mickaël JeanCLCC Eugène Marquis, Equipe Ligue Contre Le Cancer, 35042 Rennes, France. mickael.jean@univ-rennes1.fr.
Patrick LegembreCLCC Eugène Marquis, Equipe Ligue Contre Le Cancer, 35042 Rennes, France. patrick.legembre@inserm.fr.
Adèle D LaurentCEISAM UMR CNRS 6230, UFR Sciences et Techniques, Université de Nantes, 44322 Nantes CEDEX 3, France. Adele.Laurent@univ-nantes.fr.
Centre National de la Recherche Scientifique · FRCentre Eugène Marquis · FRInserm · FR

Funding

Agence Nationale de la Recherche CE15-0027Fondation ARC pour la Recherche sur le Cancer 2017-2019 (PL)Institut National Contre le Cancer (INCa) PLBIO-2018Région Pays de la Loire Mim-Breg
6 · The paper itself

Abstract

The enzyme phospholipase C gamma 1 (PLCγ1) has been identified as a potential drug target of interest for various pathological conditions such as immune disorders, systemic lupus erythematosus, and cancers. Targeting its SH3 domain has been recognized as an efficient pharmacological approach for drug discovery against PLCγ1. Therefore, for the first time, a combination of various biophysical methods has been employed to shed light on the atomistic interactions between PLCγ1 and its known binding partners. Indeed, molecular modeling of PLCγ1 with SLP76 peptide and with previously reported inhibitors (ritonavir, anethole, daunorubicin, diflunisal, and rosiglitazone) facilitated the identification of the common critical residues (Gln805, Arg806, Asp808, Glu809, Asp825, Gly827, and Trp828) as well as the quantification of their interaction through binding energies calculations. These features are in agreement with previous experimental data. Such an in depth biophysical analysis of each complex provides an opportunity to identify new inhibitors through pharmacophore mapping, molecular docking and MD simulations. From such a systematic procedure, a total of seven compounds emerged as promising inhibitors, all characterized by a strong binding with PLCγ1 and a comparable or higher binding affinity to ritonavir (∆G

Indexed as

Molecular Docking SimulationEnzyme InhibitorsHumansPeptidesPhospholipase C gammaProtein BindingProtein DomainsEnzyme InhibitorsPeptidesPhospholipase C gammaPLCG1 protein, humanmolecular dockingmolecular dynamicspharmacophore mappingphospholipase C gamma 1SLP76virtual screening

Identifiers

PMID31548507
PMCPMC6801593
OpenAlexW2974838344

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.