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Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships

BACKGROUND: The epidermal growth factor receptor (EGFR) is a member of the ErbB family that is involved in a number of processes responsible for cancer development and progression such as angiogenesis, apoptosis, cell proliferation and metastatic spread. Malfunction in activation of protein tyrosine...

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Autores principales: Goyal, Sukriti, Jamal, Salma, Shanker, Asheesh, Grover, Abhinav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460657/
https://www.ncbi.nlm.nih.gov/pubmed/26041145
http://dx.doi.org/10.1186/1471-2164-16-S5-S8
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author Goyal, Sukriti
Jamal, Salma
Shanker, Asheesh
Grover, Abhinav
author_facet Goyal, Sukriti
Jamal, Salma
Shanker, Asheesh
Grover, Abhinav
author_sort Goyal, Sukriti
collection PubMed
description BACKGROUND: The epidermal growth factor receptor (EGFR) is a member of the ErbB family that is involved in a number of processes responsible for cancer development and progression such as angiogenesis, apoptosis, cell proliferation and metastatic spread. Malfunction in activation of protein tyrosine kinases has been shown to result in uncontrolled cell growth. The EGFR TK domain has been identified as suitable target in cancer therapy and tyrosine kinase inhibitors such as erlotinib have been used for treatment of cancer. Mutations in the region of the EGFR gene encoding the tyrosine kinase (TK) domain causes altered responses to EGFR TK inhibitors (TKI). In this paper we perform molecular dynamics simulations and PCA analysis on wild-type and mutant (T854A) structures to gain insight into the structural changes observed in the target protein upon mutation. We also report two novel inhibitors identified by combined approach of QSAR model development. RESULTS: The wild-type and mutant structure was observed to be stable for 26 ns and 24 ns respectively. In PCA analysis, the mutant structure proved to be more flexible than wild-type. We developed a 3D-QSAR model using 38 thiazolyl-pyrazoline compounds which was later used for prediction of inhibitory activity of natural compounds of ZINC library. The 3D-QSAR model was proved to be robust by the statistical parameters such as r(2 )(0.9751), q(2)(0.9491) and pred_r(2)(0.9525). CONCLUSION: Analysis of molecular dynamics simulations results indicate stability loss and increased flexibility in the mutant structure. This flexibility results in structural changes which render the mutant protein drug resistant against erlotinib. We report two novel compounds having high predicted inhibitory activity to EGFR TK domain with both wild-type and mutant structure.
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spelling pubmed-44606572015-06-29 Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships Goyal, Sukriti Jamal, Salma Shanker, Asheesh Grover, Abhinav BMC Genomics Research BACKGROUND: The epidermal growth factor receptor (EGFR) is a member of the ErbB family that is involved in a number of processes responsible for cancer development and progression such as angiogenesis, apoptosis, cell proliferation and metastatic spread. Malfunction in activation of protein tyrosine kinases has been shown to result in uncontrolled cell growth. The EGFR TK domain has been identified as suitable target in cancer therapy and tyrosine kinase inhibitors such as erlotinib have been used for treatment of cancer. Mutations in the region of the EGFR gene encoding the tyrosine kinase (TK) domain causes altered responses to EGFR TK inhibitors (TKI). In this paper we perform molecular dynamics simulations and PCA analysis on wild-type and mutant (T854A) structures to gain insight into the structural changes observed in the target protein upon mutation. We also report two novel inhibitors identified by combined approach of QSAR model development. RESULTS: The wild-type and mutant structure was observed to be stable for 26 ns and 24 ns respectively. In PCA analysis, the mutant structure proved to be more flexible than wild-type. We developed a 3D-QSAR model using 38 thiazolyl-pyrazoline compounds which was later used for prediction of inhibitory activity of natural compounds of ZINC library. The 3D-QSAR model was proved to be robust by the statistical parameters such as r(2 )(0.9751), q(2)(0.9491) and pred_r(2)(0.9525). CONCLUSION: Analysis of molecular dynamics simulations results indicate stability loss and increased flexibility in the mutant structure. This flexibility results in structural changes which render the mutant protein drug resistant against erlotinib. We report two novel compounds having high predicted inhibitory activity to EGFR TK domain with both wild-type and mutant structure. BioMed Central 2015-05-26 /pmc/articles/PMC4460657/ /pubmed/26041145 http://dx.doi.org/10.1186/1471-2164-16-S5-S8 Text en Copyright © 2015 Goyal et al.; licensee BioMed Central Ltd. 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Goyal, Sukriti
Jamal, Salma
Shanker, Asheesh
Grover, Abhinav
Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title_full Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title_fullStr Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title_full_unstemmed Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title_short Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships
title_sort structural investigations of t854a mutation in egfr and identification of novel inhibitors using structure activity relationships
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460657/
https://www.ncbi.nlm.nih.gov/pubmed/26041145
http://dx.doi.org/10.1186/1471-2164-16-S5-S8
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AT shankerasheesh structuralinvestigationsoft854amutationinegfrandidentificationofnovelinhibitorsusingstructureactivityrelationships
AT groverabhinav structuralinvestigationsoft854amutationinegfrandidentificationofnovelinhibitorsusingstructureactivityrelationships