Cargando…

Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies

c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as “fourth generation inhibitors” constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has...

Descripción completa

Detalles Bibliográficos
Autores principales: Aliebrahimi, Shima, Montasser Kouhsari, Shideh, Ostad, Seyed Nasser, Arab, Seyed Shahriar, Karami, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090793/
https://www.ncbi.nlm.nih.gov/pubmed/28852971
http://dx.doi.org/10.1007/s12013-017-0821-6
_version_ 1783509958194626560
author Aliebrahimi, Shima
Montasser Kouhsari, Shideh
Ostad, Seyed Nasser
Arab, Seyed Shahriar
Karami, Leila
author_facet Aliebrahimi, Shima
Montasser Kouhsari, Shideh
Ostad, Seyed Nasser
Arab, Seyed Shahriar
Karami, Leila
author_sort Aliebrahimi, Shima
collection PubMed
description c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as “fourth generation inhibitors” constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has recently been introduced to augment docking accuracy and reduce false positives during a virtual screening. In order to obtain novel small-molecule Met inhibitors, consensus docking approach was performed using Autodock Vina and Autodock 4.2 to virtual screen Naturally Occurring Plant-based Anti-cancer Compound–Activity–Target database against active and inactive conformation of c-Met kinase domain structure. Two hit molecules that were in line with drug-likeness criteria, desired docking score, and binding pose were subjected to molecular dynamics simulations to elucidate intermolecular contacts in protein–ligand complexes. Analysis of molecular dynamics simulations and molecular mechanics Poisson–Boltzmann surface area studies showed that ZINC08234189 is a plausible inhibitor for the active state of c-Met, whereas ZINC03871891 may be more effective toward active c-Met kinase domain compared to the inactive form due to higher binding energy. Our analysis showed that both the hit molecules formed hydrogen bonds with key residues of the hinge region (P1158, M1160) in the active form, which is a hallmark of kinase domain inhibitors. Considering the pivotal role of HGF/c-Met signaling in carcinogenesis, our results propose ZINC08234189 and ZINC03871891 as the therapeutic options to surmount Met-dependent cancers.
format Online
Article
Text
id pubmed-7090793
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-70907932020-03-24 Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies Aliebrahimi, Shima Montasser Kouhsari, Shideh Ostad, Seyed Nasser Arab, Seyed Shahriar Karami, Leila Cell Biochem Biophys Original Paper c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as “fourth generation inhibitors” constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has recently been introduced to augment docking accuracy and reduce false positives during a virtual screening. In order to obtain novel small-molecule Met inhibitors, consensus docking approach was performed using Autodock Vina and Autodock 4.2 to virtual screen Naturally Occurring Plant-based Anti-cancer Compound–Activity–Target database against active and inactive conformation of c-Met kinase domain structure. Two hit molecules that were in line with drug-likeness criteria, desired docking score, and binding pose were subjected to molecular dynamics simulations to elucidate intermolecular contacts in protein–ligand complexes. Analysis of molecular dynamics simulations and molecular mechanics Poisson–Boltzmann surface area studies showed that ZINC08234189 is a plausible inhibitor for the active state of c-Met, whereas ZINC03871891 may be more effective toward active c-Met kinase domain compared to the inactive form due to higher binding energy. Our analysis showed that both the hit molecules formed hydrogen bonds with key residues of the hinge region (P1158, M1160) in the active form, which is a hallmark of kinase domain inhibitors. Considering the pivotal role of HGF/c-Met signaling in carcinogenesis, our results propose ZINC08234189 and ZINC03871891 as the therapeutic options to surmount Met-dependent cancers. Springer US 2017-08-29 2018 /pmc/articles/PMC7090793/ /pubmed/28852971 http://dx.doi.org/10.1007/s12013-017-0821-6 Text en © Springer Science+Business Media, LLC 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Aliebrahimi, Shima
Montasser Kouhsari, Shideh
Ostad, Seyed Nasser
Arab, Seyed Shahriar
Karami, Leila
Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title_full Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title_fullStr Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title_full_unstemmed Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title_short Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
title_sort identification of phytochemicals targeting c-met kinase domain using consensus docking and molecular dynamics simulation studies
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090793/
https://www.ncbi.nlm.nih.gov/pubmed/28852971
http://dx.doi.org/10.1007/s12013-017-0821-6
work_keys_str_mv AT aliebrahimishima identificationofphytochemicalstargetingcmetkinasedomainusingconsensusdockingandmoleculardynamicssimulationstudies
AT montasserkouhsarishideh identificationofphytochemicalstargetingcmetkinasedomainusingconsensusdockingandmoleculardynamicssimulationstudies
AT ostadseyednasser identificationofphytochemicalstargetingcmetkinasedomainusingconsensusdockingandmoleculardynamicssimulationstudies
AT arabseyedshahriar identificationofphytochemicalstargetingcmetkinasedomainusingconsensusdockingandmoleculardynamicssimulationstudies
AT karamileila identificationofphytochemicalstargetingcmetkinasedomainusingconsensusdockingandmoleculardynamicssimulationstudies