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Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1

Protein kinases are crucial drug targets in cancer therapy. Kinase inhibitors are promiscuous in nature due to the highly conserved nature of the kinase ATP binding pockets. PERK has emerged as a potential therapeutic target in cancer. However, PERK inhibitors GSK2606414 and GSK2656157 also target R...

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Autores principales: Chintha, Chetan, Carlesso, Antonio, Gorman, Adrienne M., Samali, Afshin, Eriksson, Leif A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092956/
https://www.ncbi.nlm.nih.gov/pubmed/35558862
http://dx.doi.org/10.1039/c9ra08047c
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author Chintha, Chetan
Carlesso, Antonio
Gorman, Adrienne M.
Samali, Afshin
Eriksson, Leif A.
author_facet Chintha, Chetan
Carlesso, Antonio
Gorman, Adrienne M.
Samali, Afshin
Eriksson, Leif A.
author_sort Chintha, Chetan
collection PubMed
description Protein kinases are crucial drug targets in cancer therapy. Kinase inhibitors are promiscuous in nature due to the highly conserved nature of the kinase ATP binding pockets. PERK has emerged as a potential therapeutic target in cancer. However, PERK inhibitors GSK2606414 and GSK2656157 also target RIPK1 whereas AMG44 is more specific to PERK. To understand the structural basis for the selectivity of PERK ligands to RIPK1 we have undertaken a detailed in silico analysis using molecular docking followed by molecular dynamics simulations to explore the selectivity profiles of the compounds. Although the binding sites of PERK and RIPK1 are similar, their binding response to small molecules is different. The docking models revealed a common binding mode for GSK2606414 and GSK2656157 in the RIPK1 binding site, similar to its cognate ligand. In contrast, AMG44 had a strikingly different predicted binding profile in the RIPK1 binding site with both rigid docking and induced fit docking settings. Our study shows a molecular mechanism responsible for dual targeting by the GSK ligands. More broadly, this work illustrates the potential of molecular docking to correctly predict the binding towards different kinase structures, and will aid in the design of selective PERK kinase inhibitors.
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spelling pubmed-90929562022-05-11 Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1 Chintha, Chetan Carlesso, Antonio Gorman, Adrienne M. Samali, Afshin Eriksson, Leif A. RSC Adv Chemistry Protein kinases are crucial drug targets in cancer therapy. Kinase inhibitors are promiscuous in nature due to the highly conserved nature of the kinase ATP binding pockets. PERK has emerged as a potential therapeutic target in cancer. However, PERK inhibitors GSK2606414 and GSK2656157 also target RIPK1 whereas AMG44 is more specific to PERK. To understand the structural basis for the selectivity of PERK ligands to RIPK1 we have undertaken a detailed in silico analysis using molecular docking followed by molecular dynamics simulations to explore the selectivity profiles of the compounds. Although the binding sites of PERK and RIPK1 are similar, their binding response to small molecules is different. The docking models revealed a common binding mode for GSK2606414 and GSK2656157 in the RIPK1 binding site, similar to its cognate ligand. In contrast, AMG44 had a strikingly different predicted binding profile in the RIPK1 binding site with both rigid docking and induced fit docking settings. Our study shows a molecular mechanism responsible for dual targeting by the GSK ligands. More broadly, this work illustrates the potential of molecular docking to correctly predict the binding towards different kinase structures, and will aid in the design of selective PERK kinase inhibitors. The Royal Society of Chemistry 2020-01-02 /pmc/articles/PMC9092956/ /pubmed/35558862 http://dx.doi.org/10.1039/c9ra08047c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Chintha, Chetan
Carlesso, Antonio
Gorman, Adrienne M.
Samali, Afshin
Eriksson, Leif A.
Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title_full Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title_fullStr Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title_full_unstemmed Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title_short Molecular modeling provides a structural basis for PERK inhibitor selectivity towards RIPK1
title_sort molecular modeling provides a structural basis for perk inhibitor selectivity towards ripk1
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092956/
https://www.ncbi.nlm.nih.gov/pubmed/35558862
http://dx.doi.org/10.1039/c9ra08047c
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