Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies

Aromatase inhibitors (AIs) as effective candidates have been used in the treatment of hormone-dependent breast cancer. In this study, we have proposed 300 structures as potential AIs and filtered them by Lipinski′s rule of five using DrugLito software. Subsequently, they were subjected to docking si...

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Main Authors: Ayyub Mojaddami, Amirhossein Sakhteman, Masood Fereidoonnezhad, Zeinab Faghih, Atena Najdian, Soghra Khabnadideh, Hossein Sadeghpour, Zahra Rezaei
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Research in Pharmaceutical Sciences
Subjects:
Online Access:http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2017;volume=12;issue=1;spage=21;epage=30;aulast=Mojaddami
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spelling doaj-e2faf1b19aad4dca85bef0c61100786c2021-07-07T14:25:16ZengWolters Kluwer Medknow PublicationsResearch in Pharmaceutical Sciences1735-53621735-94142017-01-01121213010.4103/1735-5362.199043Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studiesAyyub MojaddamiAmirhossein SakhtemanMasood FereidoonnezhadZeinab FaghihAtena NajdianSoghra KhabnadidehHossein SadeghpourZahra RezaeiAromatase inhibitors (AIs) as effective candidates have been used in the treatment of hormone-dependent breast cancer. In this study, we have proposed 300 structures as potential AIs and filtered them by Lipinski′s rule of five using DrugLito software. Subsequently, they were subjected to docking simulation studies to select the top 20 compounds based on their Gibbs free energy changes and also to perform more studies on the protein-ligand interaction fingerprint by AuposSOM software. In this stage, anastrozole and letrozole were used as positive control to compare their interaction fingerprint patterns with our proposed structures. Finally, based on the binding energy values, one active structure (ligand 15) was selected for molecular dynamic simulation in order to get information for the binding mode of these ligands within the enzyme cavity. The triazole of ligand 15 pointed to HEM group in aromatase active site and coordinated to Fe of HEM through its N4 atom. In addition, two π-cation interactions was also observed, one interaction between triazole and porphyrin of HEM group, and the other was 4-chloro phenyl moiety of this ligand with Arg115 residue.http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2017;volume=12;issue=1;spage=21;epage=30;aulast=Mojaddamibreast cancer; aromatase inhibitor; md simulation; molecular docking
collection DOAJ
language English
format Article
sources DOAJ
author Ayyub Mojaddami
Amirhossein Sakhteman
Masood Fereidoonnezhad
Zeinab Faghih
Atena Najdian
Soghra Khabnadideh
Hossein Sadeghpour
Zahra Rezaei
spellingShingle Ayyub Mojaddami
Amirhossein Sakhteman
Masood Fereidoonnezhad
Zeinab Faghih
Atena Najdian
Soghra Khabnadideh
Hossein Sadeghpour
Zahra Rezaei
Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
Research in Pharmaceutical Sciences
breast cancer; aromatase inhibitor; md simulation; molecular docking
author_facet Ayyub Mojaddami
Amirhossein Sakhteman
Masood Fereidoonnezhad
Zeinab Faghih
Atena Najdian
Soghra Khabnadideh
Hossein Sadeghpour
Zahra Rezaei
author_sort Ayyub Mojaddami
title Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
title_short Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
title_full Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
title_fullStr Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
title_full_unstemmed Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
title_sort binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies
publisher Wolters Kluwer Medknow Publications
series Research in Pharmaceutical Sciences
issn 1735-5362
1735-9414
publishDate 2017-01-01
description Aromatase inhibitors (AIs) as effective candidates have been used in the treatment of hormone-dependent breast cancer. In this study, we have proposed 300 structures as potential AIs and filtered them by Lipinski′s rule of five using DrugLito software. Subsequently, they were subjected to docking simulation studies to select the top 20 compounds based on their Gibbs free energy changes and also to perform more studies on the protein-ligand interaction fingerprint by AuposSOM software. In this stage, anastrozole and letrozole were used as positive control to compare their interaction fingerprint patterns with our proposed structures. Finally, based on the binding energy values, one active structure (ligand 15) was selected for molecular dynamic simulation in order to get information for the binding mode of these ligands within the enzyme cavity. The triazole of ligand 15 pointed to HEM group in aromatase active site and coordinated to Fe of HEM through its N4 atom. In addition, two π-cation interactions was also observed, one interaction between triazole and porphyrin of HEM group, and the other was 4-chloro phenyl moiety of this ligand with Arg115 residue.
topic breast cancer; aromatase inhibitor; md simulation; molecular docking
url http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2017;volume=12;issue=1;spage=21;epage=30;aulast=Mojaddami
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