Evidence map›Paper›PMID 33375358›Full record

ArticleMolecules (Basel, Switzerland)2020

Discovery of Monoacylglycerol Lipase (MAGL) Inhibitors Based on a Pharmacophore-Guided Virtual Screening Study.

Vibhu Jha, Marzia Biagi, Valeria Spinelli, Miriana Di Stefano, Marco Macchia, Filippo Minutolo, Carlotta Granchi, Giulio Poli, Tiziano Tuccinardi

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. 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
1.1field-weighted citation impact, top 22% 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, 13 citations in OpenAlex.

  1. Review
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  4. Watermelon: setup and validation of anJournal of enzyme inhibition and medicinal chemistry · 2024
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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 1 institution in 1 country.

Vibhu JhaDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Marzia BiagiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Valeria SpinelliDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Miriana Di StefanoDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0001-6727-5816
Marco MacchiaDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Filippo MinutoloDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-3312-104X
Carlotta GranchiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-5849-0722
Giulio PoliDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.
Tiziano TuccinardiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-6205-4069
University of Pisa · IT

Funding

Italian Ministry of Health Ricerca Finalizzata 2016 - NET-2016-02363765MIUR PRIN 2017, project 2017SA5837
6 · The paper itself

Abstract

Monoacylglycerol lipase (MAGL) is an important enzyme of the endocannabinoid system that catalyzes the degradation of the major endocannabinoid 2-arachidonoylglycerol (2-AG). MAGL is associated with pathological conditions such as pain, inflammation and neurodegenerative diseases like Parkinson's and Alzheimer's disease. Furthermore, elevated levels of MAGL have been found in aggressive breast, ovarian and melanoma cancer cells. Due to its different potential therapeutic implications, MAGL is considered as a promising target for drug design and the discovery of novel small-molecule MAGL inhibitors is of great interest in the medicinal chemistry field. In this context, we developed a pharmacophore-based virtual screening protocol combined with molecular docking and molecular dynamics simulations, which showed a final hit rate of 50% validating the reliability of the in silico workflow and led to the identification of two promising and structurally different reversible MAGL inhibitors, VS1 and VS2. These ligands represent a valuable starting point for structure-based hit-optimization studies aimed at identifying new potent MAGL inhibitors.

Indexed as

Drug Evaluation, PreclinicalUser-Computer InterfaceBinding SitesEnzyme InhibitorsHumansInhibitory Concentration 50Molecular Docking SimulationMonoacylglycerol LipasesEnzyme InhibitorsMonoacylglycerol Lipaseshit identificationMAGLpharmacophore modelvirtual screening

Identifiers

PMID33375358
PMCPMC7794939
OpenAlexW3117684457

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Registered trials

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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.