Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR
In the current study, a 2D similarity/docking-based study was used to predict the potential binding modes of icotinib, almonertinib, and olmutinib into EGFR. The similarity search of icotinib, almonertinib, and olmutinib against a database of 154 EGFR ligands revealed the highest similarity scores w...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3789cb7879d542b49ced84daf80db761 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:3789cb7879d542b49ced84daf80db761 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:3789cb7879d542b49ced84daf80db7612021-11-11T18:26:29ZIcotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR10.3390/molecules262164231420-3049https://doaj.org/article/3789cb7879d542b49ced84daf80db7612021-10-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/21/6423https://doaj.org/toc/1420-3049In the current study, a 2D similarity/docking-based study was used to predict the potential binding modes of icotinib, almonertinib, and olmutinib into EGFR. The similarity search of icotinib, almonertinib, and olmutinib against a database of 154 EGFR ligands revealed the highest similarity scores with erlotinib (0.9333), osimertinib (0.9487), and WZ4003 (0.8421), respectively. In addition, the results of the docking study of the three drugs into EGFR revealed high binding free energies (Δ<i>G<sub>b</sub></i> = −6.32 to −8.42 kcal/mol) compared to the co-crystallized ligands (Δ<i>G<sub>b</sub></i> = −7.03 to −8.07 kcal/mol). Analysis of the top-scoring poses of the three drugs was done to identify their potential binding modes. The distances between Cys797 in EGFR and the Michael acceptor sites in almonertinib and olmutinib were determined. In conclusion, the results could provide insights into the potential binding characteristics of the three drugs into EGFR which could help in the design of new more potent analogs.Faisal A. AlmalkiAhmed M. ShawkyAshraf N. AbdallaAhmed M. GoudaMDPI AGarticleicotinibalmonertinibolmutinibsimilarity searchdockingOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6423, p 6423 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
icotinib almonertinib olmutinib similarity search docking Organic chemistry QD241-441 |
spellingShingle |
icotinib almonertinib olmutinib similarity search docking Organic chemistry QD241-441 Faisal A. Almalki Ahmed M. Shawky Ashraf N. Abdalla Ahmed M. Gouda Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
description |
In the current study, a 2D similarity/docking-based study was used to predict the potential binding modes of icotinib, almonertinib, and olmutinib into EGFR. The similarity search of icotinib, almonertinib, and olmutinib against a database of 154 EGFR ligands revealed the highest similarity scores with erlotinib (0.9333), osimertinib (0.9487), and WZ4003 (0.8421), respectively. In addition, the results of the docking study of the three drugs into EGFR revealed high binding free energies (Δ<i>G<sub>b</sub></i> = −6.32 to −8.42 kcal/mol) compared to the co-crystallized ligands (Δ<i>G<sub>b</sub></i> = −7.03 to −8.07 kcal/mol). Analysis of the top-scoring poses of the three drugs was done to identify their potential binding modes. The distances between Cys797 in EGFR and the Michael acceptor sites in almonertinib and olmutinib were determined. In conclusion, the results could provide insights into the potential binding characteristics of the three drugs into EGFR which could help in the design of new more potent analogs. |
format |
article |
author |
Faisal A. Almalki Ahmed M. Shawky Ashraf N. Abdalla Ahmed M. Gouda |
author_facet |
Faisal A. Almalki Ahmed M. Shawky Ashraf N. Abdalla Ahmed M. Gouda |
author_sort |
Faisal A. Almalki |
title |
Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
title_short |
Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
title_full |
Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
title_fullStr |
Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
title_full_unstemmed |
Icotinib, Almonertinib, and Olmutinib: A 2D Similarity/Docking-Based Study to Predict the Potential Binding Modes and Interactions into EGFR |
title_sort |
icotinib, almonertinib, and olmutinib: a 2d similarity/docking-based study to predict the potential binding modes and interactions into egfr |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3789cb7879d542b49ced84daf80db761 |
work_keys_str_mv |
AT faisalaalmalki icotinibalmonertinibandolmutiniba2dsimilaritydockingbasedstudytopredictthepotentialbindingmodesandinteractionsintoegfr AT ahmedmshawky icotinibalmonertinibandolmutiniba2dsimilaritydockingbasedstudytopredictthepotentialbindingmodesandinteractionsintoegfr AT ashrafnabdalla icotinibalmonertinibandolmutiniba2dsimilaritydockingbasedstudytopredictthepotentialbindingmodesandinteractionsintoegfr AT ahmedmgouda icotinibalmonertinibandolmutiniba2dsimilaritydockingbasedstudytopredictthepotentialbindingmodesandinteractionsintoegfr |
_version_ |
1718431816495398912 |