Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach

Abstract Background Lung cancer remains the leading and deadly type of cancer worldwide. It was estimated to account for about 25% of the 7 million people that died as a result of cancer-related issues/mortality every year in the world. Non-small cell lung cancer (NSCLC) is the lethal/deadly class o...

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Main Authors: Muhammad Tukur Ibrahim, Adamu Uzairu, Sani Uba, Gideon Adamu Shallangwa
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:Future Journal of Pharmaceutical Sciences
Subjects:
Online Access:https://doi.org/10.1186/s43094-021-00279-3
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spelling doaj-d556ede711154096acb91d983e1b46282021-07-18T11:40:30ZengSpringerOpenFuture Journal of Pharmaceutical Sciences2314-72532021-07-017111110.1186/s43094-021-00279-3Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approachMuhammad Tukur Ibrahim0Adamu Uzairu1Sani Uba2Gideon Adamu Shallangwa3Department of Chemistry, Faculty of Physical Science, Ahmadu Bello UniversityDepartment of Chemistry, Faculty of Physical Science, Ahmadu Bello UniversityDepartment of Chemistry, Faculty of Physical Science, Ahmadu Bello UniversityDepartment of Chemistry, Faculty of Physical Science, Ahmadu Bello UniversityAbstract Background Lung cancer remains the leading and deadly type of cancer worldwide. It was estimated to account for about 25% of the 7 million people that died as a result of cancer-related issues/mortality every year in the world. Non-small cell lung cancer (NSCLC) is the lethal/deadly class of lung cancer with nearly 1.5 million reported cases and less than 20% survival rate. Therefore, it becomes necessary to explore more effective NSCLC drugs. Result A computational approach was employed here to design ten new EGFRWT inhibitors using compound 18 as a template for the design identified with the best binding affinity and good pharmacokinetic properties previously reported in our work. The modeled inhibitory activities of these newly designed EGFRWT inhibitors (range from 7.746966 to 11.09261) were better than that of the hit compound with pIC50 of 7.5639 and gefitinib the positive control with pIC50 of 5.879426. The ligand-binding interaction between these newly designed EGFRWT inhibitors and the EGFR tyrosine kinase receptor as shown in Table 3 was investigated and elucidated using molecular docking protocol. Based on the molecular docking results, the binding affinities of these newly designed EGFRWT inhibitors were found to be between − 8.8 and − 9.5 kcal/mol. The designed compound SFD10 has the highest binding affinity of − 9.5 kcal/mol followed by compound SFD8 (with a binding affinity of − 9.3 kcal/mol), then by compound SFD9 and 4 (each with a binding affinity of − 9.3 kcal/mol). None of them was found to have more than one violation of the filtering criterion used in this study thereby showing good ADMET properties. Conclusion The modeled inhibitory activities and binding affinities of these newly designed EGFRWT inhibitors were found to be higher than that of the template compound and the control (gefitinib) used in this research. They were also seen to be non-toxic with good pharmacokinetic properties.https://doi.org/10.1186/s43094-021-00279-3DesignPotentDockingPharmacokineticEGFRWT inhibitors
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Tukur Ibrahim
Adamu Uzairu
Sani Uba
Gideon Adamu Shallangwa
spellingShingle Muhammad Tukur Ibrahim
Adamu Uzairu
Sani Uba
Gideon Adamu Shallangwa
Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
Future Journal of Pharmaceutical Sciences
Design
Potent
Docking
Pharmacokinetic
EGFRWT inhibitors
author_facet Muhammad Tukur Ibrahim
Adamu Uzairu
Sani Uba
Gideon Adamu Shallangwa
author_sort Muhammad Tukur Ibrahim
title Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
title_short Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
title_full Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
title_fullStr Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
title_full_unstemmed Design of more potent quinazoline derivatives as EGFRWT inhibitors for the treatment of NSCLC: a computational approach
title_sort design of more potent quinazoline derivatives as egfrwt inhibitors for the treatment of nsclc: a computational approach
publisher SpringerOpen
series Future Journal of Pharmaceutical Sciences
issn 2314-7253
publishDate 2021-07-01
description Abstract Background Lung cancer remains the leading and deadly type of cancer worldwide. It was estimated to account for about 25% of the 7 million people that died as a result of cancer-related issues/mortality every year in the world. Non-small cell lung cancer (NSCLC) is the lethal/deadly class of lung cancer with nearly 1.5 million reported cases and less than 20% survival rate. Therefore, it becomes necessary to explore more effective NSCLC drugs. Result A computational approach was employed here to design ten new EGFRWT inhibitors using compound 18 as a template for the design identified with the best binding affinity and good pharmacokinetic properties previously reported in our work. The modeled inhibitory activities of these newly designed EGFRWT inhibitors (range from 7.746966 to 11.09261) were better than that of the hit compound with pIC50 of 7.5639 and gefitinib the positive control with pIC50 of 5.879426. The ligand-binding interaction between these newly designed EGFRWT inhibitors and the EGFR tyrosine kinase receptor as shown in Table 3 was investigated and elucidated using molecular docking protocol. Based on the molecular docking results, the binding affinities of these newly designed EGFRWT inhibitors were found to be between − 8.8 and − 9.5 kcal/mol. The designed compound SFD10 has the highest binding affinity of − 9.5 kcal/mol followed by compound SFD8 (with a binding affinity of − 9.3 kcal/mol), then by compound SFD9 and 4 (each with a binding affinity of − 9.3 kcal/mol). None of them was found to have more than one violation of the filtering criterion used in this study thereby showing good ADMET properties. Conclusion The modeled inhibitory activities and binding affinities of these newly designed EGFRWT inhibitors were found to be higher than that of the template compound and the control (gefitinib) used in this research. They were also seen to be non-toxic with good pharmacokinetic properties.
topic Design
Potent
Docking
Pharmacokinetic
EGFRWT inhibitors
url https://doi.org/10.1186/s43094-021-00279-3
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