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Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type

By using an ensemble-docking strategy, we undertook a large-scale virtual screening campaign in order to identify new putative hits against the MET kinase target. Following a large molecular dynamics sampling of its conformational space, a set of 45 conformers of the kinase was retained as docking t...

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Autores principales: Bresso, Emmanuel, Furlan, Alessandro, Noel, Philippe, Leroux, Vincent, Maina, Flavio, Dono, Rosanna, Maigret, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070486/
https://www.ncbi.nlm.nih.gov/pubmed/32093126
http://dx.doi.org/10.3390/molecules25040938
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author Bresso, Emmanuel
Furlan, Alessandro
Noel, Philippe
Leroux, Vincent
Maina, Flavio
Dono, Rosanna
Maigret, Bernard
author_facet Bresso, Emmanuel
Furlan, Alessandro
Noel, Philippe
Leroux, Vincent
Maina, Flavio
Dono, Rosanna
Maigret, Bernard
author_sort Bresso, Emmanuel
collection PubMed
description By using an ensemble-docking strategy, we undertook a large-scale virtual screening campaign in order to identify new putative hits against the MET kinase target. Following a large molecular dynamics sampling of its conformational space, a set of 45 conformers of the kinase was retained as docking targets to take into account the flexibility of the binding site moieties. Our screening funnel started from about 80,000 chemical compounds to be tested in silico for their potential affinities towards the kinase binding site. The top 100 molecules selected—thanks to the molecular docking results—were further analyzed for their interactions, and 25 of the most promising ligands were tested for their ability to inhibit MET activity in cells. F0514-4011 compound was the most efficient and impaired this scattering response to HGF (Hepatocyte Growth Factor) with an IC [Formula: see text] of 7.2 [Formula: see text] M. Interestingly, careful docking analysis of this molecule with MET suggests a possible conformation halfway between classical type-I and type-II MET inhibitors, with an additional region of interaction. This compound could therefore be an innovative seed to be repositioned from its initial antiviral purpose towards the field of MET inhibitors. Altogether, these results validate our ensemble docking strategy as a cost-effective functional method for drug development.
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spelling pubmed-70704862020-03-19 Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type Bresso, Emmanuel Furlan, Alessandro Noel, Philippe Leroux, Vincent Maina, Flavio Dono, Rosanna Maigret, Bernard Molecules Article By using an ensemble-docking strategy, we undertook a large-scale virtual screening campaign in order to identify new putative hits against the MET kinase target. Following a large molecular dynamics sampling of its conformational space, a set of 45 conformers of the kinase was retained as docking targets to take into account the flexibility of the binding site moieties. Our screening funnel started from about 80,000 chemical compounds to be tested in silico for their potential affinities towards the kinase binding site. The top 100 molecules selected—thanks to the molecular docking results—were further analyzed for their interactions, and 25 of the most promising ligands were tested for their ability to inhibit MET activity in cells. F0514-4011 compound was the most efficient and impaired this scattering response to HGF (Hepatocyte Growth Factor) with an IC [Formula: see text] of 7.2 [Formula: see text] M. Interestingly, careful docking analysis of this molecule with MET suggests a possible conformation halfway between classical type-I and type-II MET inhibitors, with an additional region of interaction. This compound could therefore be an innovative seed to be repositioned from its initial antiviral purpose towards the field of MET inhibitors. Altogether, these results validate our ensemble docking strategy as a cost-effective functional method for drug development. MDPI 2020-02-19 /pmc/articles/PMC7070486/ /pubmed/32093126 http://dx.doi.org/10.3390/molecules25040938 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bresso, Emmanuel
Furlan, Alessandro
Noel, Philippe
Leroux, Vincent
Maina, Flavio
Dono, Rosanna
Maigret, Bernard
Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title_full Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title_fullStr Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title_full_unstemmed Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title_short Large-Scale Virtual Screening Against the MET Kinase Domain Identifies a New Putative Inhibitor Type
title_sort large-scale virtual screening against the met kinase domain identifies a new putative inhibitor type
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070486/
https://www.ncbi.nlm.nih.gov/pubmed/32093126
http://dx.doi.org/10.3390/molecules25040938
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