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iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer

This study reports the application of inverse virtual screening (iVS) methodologies to identify cellular proteins as suitable targets for a library of heterocyclic small-molecules, with potential pharmacological implications. Standard synthetic procedures allow facile generation of these ligands sho...

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Detalles Bibliográficos
Autores principales: Cilibrizzi, Agostino, Floresta, Giuseppe, Abbate, Vincenzo, Giovannoni, Maria Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211261/
https://www.ncbi.nlm.nih.gov/pubmed/30362379
http://dx.doi.org/10.1080/14756366.2018.1518960
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author Cilibrizzi, Agostino
Floresta, Giuseppe
Abbate, Vincenzo
Giovannoni, Maria Paola
author_facet Cilibrizzi, Agostino
Floresta, Giuseppe
Abbate, Vincenzo
Giovannoni, Maria Paola
author_sort Cilibrizzi, Agostino
collection PubMed
description This study reports the application of inverse virtual screening (iVS) methodologies to identify cellular proteins as suitable targets for a library of heterocyclic small-molecules, with potential pharmacological implications. Standard synthetic procedures allow facile generation of these ligands showing a high degree of core scaffold diversity. Specifically, we have computationally investigated the binding efficacy of the new series for target proteins which are involved in cancer pathogenesis. As a result, nine macromolecules demonstrated efficient binding interactions for the molecular dataset, in comparison to the co-crystallised ligand for each target. Moreover, the iVS analysis led us to confirm that 27 analogues have high affinity for one or more examined cellular proteins. The additional evaluation of ADME and drug score for selected hits also highlights their capability as drug candidates, demonstrating valuable leads for further structure optimisation and biological studies.
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spelling pubmed-62112612018-11-05 iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer Cilibrizzi, Agostino Floresta, Giuseppe Abbate, Vincenzo Giovannoni, Maria Paola J Enzyme Inhib Med Chem Short Communication This study reports the application of inverse virtual screening (iVS) methodologies to identify cellular proteins as suitable targets for a library of heterocyclic small-molecules, with potential pharmacological implications. Standard synthetic procedures allow facile generation of these ligands showing a high degree of core scaffold diversity. Specifically, we have computationally investigated the binding efficacy of the new series for target proteins which are involved in cancer pathogenesis. As a result, nine macromolecules demonstrated efficient binding interactions for the molecular dataset, in comparison to the co-crystallised ligand for each target. Moreover, the iVS analysis led us to confirm that 27 analogues have high affinity for one or more examined cellular proteins. The additional evaluation of ADME and drug score for selected hits also highlights their capability as drug candidates, demonstrating valuable leads for further structure optimisation and biological studies. Taylor & Francis 2018-10-26 /pmc/articles/PMC6211261/ /pubmed/30362379 http://dx.doi.org/10.1080/14756366.2018.1518960 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Communication
Cilibrizzi, Agostino
Floresta, Giuseppe
Abbate, Vincenzo
Giovannoni, Maria Paola
iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title_full iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title_fullStr iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title_full_unstemmed iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title_short iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
title_sort ivs analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211261/
https://www.ncbi.nlm.nih.gov/pubmed/30362379
http://dx.doi.org/10.1080/14756366.2018.1518960
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