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Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach

EGFR (epidermal growth factor receptor), a surface protein on the cell, belongs to the tyrosine kinase family, responsible for cell growth and proliferation. Overexpression or mutation in the EGFR gene leads to various types of cancer, i.e., non-small cell lung cancer, breast, and pancreatic cancer....

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Autores principales: Saini, Ravi, Kumari, Sonali, Bhatnagar, Aditi, Singh, Amit, Mishra, Abha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235079/
https://www.ncbi.nlm.nih.gov/pubmed/37264083
http://dx.doi.org/10.1038/s41598-023-33065-7
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author Saini, Ravi
Kumari, Sonali
Bhatnagar, Aditi
Singh, Amit
Mishra, Abha
author_facet Saini, Ravi
Kumari, Sonali
Bhatnagar, Aditi
Singh, Amit
Mishra, Abha
author_sort Saini, Ravi
collection PubMed
description EGFR (epidermal growth factor receptor), a surface protein on the cell, belongs to the tyrosine kinase family, responsible for cell growth and proliferation. Overexpression or mutation in the EGFR gene leads to various types of cancer, i.e., non-small cell lung cancer, breast, and pancreatic cancer. Bioactive molecules identified in this genre were also an essential source of encouragement for researchers who accomplished the design and synthesis of novel compounds with anticancer properties. World Health Organization (WHO) report states that antibiotic resistance is one of the most severe risks to global well-being, food safety, and development. The world needs to take steps to lessen this danger, such as developing new antibiotics and regulating their use. In this study, 6524 compounds derived from Streptomyces sp. were subjected to drug-likeness filters, molecular docking, and molecular dynamic simulation for 1000 ns to find new triple mutant EGFR(CSTMLR) (EGFR-L858R/T790M/C797S) inhibitors. Docking outcomes revealed that five compounds showed better binding affinity (− 9.074 to − 9.3 kcal/mol) than both reference drug CH7233163 (− 6.11 kcal/mol) and co-crystallized ligand Osimertinib (− 8.07 kcal/mol). Further, molecular dynamic simulation confirmed that ligand C_42 exhibited the best interaction at the active site of EGFR protein and comprised a better average radius of gyration (3.87 Å) and average SASA (Solvent Accessible Surface Area) (82.91 Å2) value than co-crystallized ligand (4.49 Å, 222.38 Å2). Additionally, its average RMSD (Root Mean Square Deviation) (3.25 Å) and RMSF (Root Mean Square Fluctuation) (1.54 Å) values were highly similar to co-crystallized ligand (3.07 Å, 1.54 Å). Compared to the reference ligand, it also demonstrated conserved H-bond interactions with the residues MET_793 and GLN_791 with strong interaction probability. In conclusion, we have found a potential drug with no violation of the rule of three, Lipinski's rule of five, and 26 other vital parameters having great potential in medicinal and pharmaceutical industries applications and can overcome synthetic drug issues.
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spelling pubmed-102350792023-06-03 Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach Saini, Ravi Kumari, Sonali Bhatnagar, Aditi Singh, Amit Mishra, Abha Sci Rep Article EGFR (epidermal growth factor receptor), a surface protein on the cell, belongs to the tyrosine kinase family, responsible for cell growth and proliferation. Overexpression or mutation in the EGFR gene leads to various types of cancer, i.e., non-small cell lung cancer, breast, and pancreatic cancer. Bioactive molecules identified in this genre were also an essential source of encouragement for researchers who accomplished the design and synthesis of novel compounds with anticancer properties. World Health Organization (WHO) report states that antibiotic resistance is one of the most severe risks to global well-being, food safety, and development. The world needs to take steps to lessen this danger, such as developing new antibiotics and regulating their use. In this study, 6524 compounds derived from Streptomyces sp. were subjected to drug-likeness filters, molecular docking, and molecular dynamic simulation for 1000 ns to find new triple mutant EGFR(CSTMLR) (EGFR-L858R/T790M/C797S) inhibitors. Docking outcomes revealed that five compounds showed better binding affinity (− 9.074 to − 9.3 kcal/mol) than both reference drug CH7233163 (− 6.11 kcal/mol) and co-crystallized ligand Osimertinib (− 8.07 kcal/mol). Further, molecular dynamic simulation confirmed that ligand C_42 exhibited the best interaction at the active site of EGFR protein and comprised a better average radius of gyration (3.87 Å) and average SASA (Solvent Accessible Surface Area) (82.91 Å2) value than co-crystallized ligand (4.49 Å, 222.38 Å2). Additionally, its average RMSD (Root Mean Square Deviation) (3.25 Å) and RMSF (Root Mean Square Fluctuation) (1.54 Å) values were highly similar to co-crystallized ligand (3.07 Å, 1.54 Å). Compared to the reference ligand, it also demonstrated conserved H-bond interactions with the residues MET_793 and GLN_791 with strong interaction probability. In conclusion, we have found a potential drug with no violation of the rule of three, Lipinski's rule of five, and 26 other vital parameters having great potential in medicinal and pharmaceutical industries applications and can overcome synthetic drug issues. Nature Publishing Group UK 2023-06-01 /pmc/articles/PMC10235079/ /pubmed/37264083 http://dx.doi.org/10.1038/s41598-023-33065-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Saini, Ravi
Kumari, Sonali
Bhatnagar, Aditi
Singh, Amit
Mishra, Abha
Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title_full Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title_fullStr Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title_full_unstemmed Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title_short Discovery of the allosteric inhibitor from actinomyces metabolites to target EGFR(CSTMLR) mutant protein: molecular modeling and free energy approach
title_sort discovery of the allosteric inhibitor from actinomyces metabolites to target egfr(cstmlr) mutant protein: molecular modeling and free energy approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235079/
https://www.ncbi.nlm.nih.gov/pubmed/37264083
http://dx.doi.org/10.1038/s41598-023-33065-7
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