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Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening

Isocitrate dehydrogenase (IDH) belongs to a family of enzymes involved in glycometabolism. It is found in many living organisms and is one of the most mutated metabolic enzymes. In the current study, we identified novel IDH1-R132C inhibitors using docking-based virtual screening and cellular inhibit...

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Autores principales: Hu, Chujiao, Zeng, Zhirui, Ma, Dan, Yin, Zhixin, Zhao, Shanshan, Chen, Tengxiang, Tang, Lei, Zuo, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491111/
https://www.ncbi.nlm.nih.gov/pubmed/36160383
http://dx.doi.org/10.3389/fphar.2022.982375
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author Hu, Chujiao
Zeng, Zhirui
Ma, Dan
Yin, Zhixin
Zhao, Shanshan
Chen, Tengxiang
Tang, Lei
Zuo, Shi
author_facet Hu, Chujiao
Zeng, Zhirui
Ma, Dan
Yin, Zhixin
Zhao, Shanshan
Chen, Tengxiang
Tang, Lei
Zuo, Shi
author_sort Hu, Chujiao
collection PubMed
description Isocitrate dehydrogenase (IDH) belongs to a family of enzymes involved in glycometabolism. It is found in many living organisms and is one of the most mutated metabolic enzymes. In the current study, we identified novel IDH1-R132C inhibitors using docking-based virtual screening and cellular inhibition assays. A total of 100 molecules with high docking scores were obtained from docking-based virtual screening. The cellular inhibition assay demonstrated five compounds at a concentration of 10 μM could inhibit cancer cells harboring the IDH1-R132C mutation proliferation by > 50%. The compound (T001-0657) showed the most potent effect against cancer cells harboring the IDH1-R132C mutation with a half-maximal inhibitory concentration (IC(50)) value of 1.311 μM. It also showed a cytotoxic effect against cancer cells with wild-type IDH1 and normal cells with IC(50) values of 49.041 μM and >50 μM, respectively. Molecular dynamics simulations were performed to investigate the stability of the kinase structure binding of allosteric inhibitor compound A and the identified compound T001-0657 binds to IDH1-R132C. Root-mean-square deviation, root-mean-square fluctuation, and binding free energy calculations showed that both compounds bind tightly to IDH1-R132C. In conclusion, the compound identified in this study had high selectivity for cancer cells harboring IDH1-R132C mutation and could be considered a promising hit compound for further development of IDH1-R132C inhibitors.
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spelling pubmed-94911112022-09-22 Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening Hu, Chujiao Zeng, Zhirui Ma, Dan Yin, Zhixin Zhao, Shanshan Chen, Tengxiang Tang, Lei Zuo, Shi Front Pharmacol Pharmacology Isocitrate dehydrogenase (IDH) belongs to a family of enzymes involved in glycometabolism. It is found in many living organisms and is one of the most mutated metabolic enzymes. In the current study, we identified novel IDH1-R132C inhibitors using docking-based virtual screening and cellular inhibition assays. A total of 100 molecules with high docking scores were obtained from docking-based virtual screening. The cellular inhibition assay demonstrated five compounds at a concentration of 10 μM could inhibit cancer cells harboring the IDH1-R132C mutation proliferation by > 50%. The compound (T001-0657) showed the most potent effect against cancer cells harboring the IDH1-R132C mutation with a half-maximal inhibitory concentration (IC(50)) value of 1.311 μM. It also showed a cytotoxic effect against cancer cells with wild-type IDH1 and normal cells with IC(50) values of 49.041 μM and >50 μM, respectively. Molecular dynamics simulations were performed to investigate the stability of the kinase structure binding of allosteric inhibitor compound A and the identified compound T001-0657 binds to IDH1-R132C. Root-mean-square deviation, root-mean-square fluctuation, and binding free energy calculations showed that both compounds bind tightly to IDH1-R132C. In conclusion, the compound identified in this study had high selectivity for cancer cells harboring IDH1-R132C mutation and could be considered a promising hit compound for further development of IDH1-R132C inhibitors. Frontiers Media S.A. 2022-09-07 /pmc/articles/PMC9491111/ /pubmed/36160383 http://dx.doi.org/10.3389/fphar.2022.982375 Text en Copyright © 2022 Hu, Zeng, Ma, Yin, Zhao, Chen, Tang and Zuo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Hu, Chujiao
Zeng, Zhirui
Ma, Dan
Yin, Zhixin
Zhao, Shanshan
Chen, Tengxiang
Tang, Lei
Zuo, Shi
Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title_full Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title_fullStr Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title_full_unstemmed Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title_short Discovery of novel IDH1-R132C inhibitors through structure-based virtual screening
title_sort discovery of novel idh1-r132c inhibitors through structure-based virtual screening
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491111/
https://www.ncbi.nlm.nih.gov/pubmed/36160383
http://dx.doi.org/10.3389/fphar.2022.982375
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