Discovery of potential 1,2,4-triazole derivatives as aromatase inhibitors for breast cancer: pharmacophore modelling, virtual screening, docking, ADMET and MD simulation

Hormone receptor (HR)-positive breast cancer represents tumours that express estrogen and/or progesterone enzymes, which play a crucial role in the growth and proliferation of breast cancer cells. Aromatase inhibitors (AIs) are drugs that inhibit the enzyme aromatase, involved in the biosynthesis of estrogen and are used for the treatment of HR-positive breast cancer. The USFDA-approved nonsteroidal AIs contain 1,2,4-triazole heterocycle. So, in the present study, we screened seventy-eight 1,2,4-triazole analogues from different literature resources and generated a pharmacophore model. After several validation protocols, Hypo1 was selected as the best model and was used as a 3D query for screening 1,2,4-triazole analogues (15,583) obtained from the CHEMBL database. A dataset containing 320 ligands with estimated activity (IC50< 0.1 µM) was subjected to molecular docking against the aromatase enzyme (PDB ID: 3S79). Amongst the 320 ligands, 30 compounds exhibited better binding energy compared to the standard drug letrozole. These 30 hits were further considered for the design of two novel molecules which were initially assessed for their ADMET properties followed by pharmacophore mapping, docking and molecular dynamics simulation. The in silico findings suggest that both the designed molecules can be considered drug-like candidates for the treatment of breast cancer through aromatase inhibition.

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Publication Details

Journal
Molecular Simulation
Published
2024-08-21
DOI
https://doi.org/10.1080/08927022.2024.2390950
Citations
14
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
5.06
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article

Discovery of potential 1,2,4-triazole derivatives as aromatase inhibitors for breast cancer: pharmacophore modelling, virtual screening, docking, ADMET and MD simulation

Chandni Pathak, Uma D. Kabra, Jagadish Singh, Balaji Wamanrao Matore et al.
14 citations
Molecular Simulation
Computational Drug Discovery Methods
5.06
article

Discovery of potential 1,2,4-triazole derivatives as aromatase inhibitors for breast cancer: pharmacophore modelling, virtual screening, docking, ADMET and MD simulation

Chandni Pathak, Uma D. Kabra, Jagadish Singh, Balaji Wamanrao Matore, Partha Pratim Roy
article en
14 citations

Abstract

Hormone receptor (HR)-positive breast cancer represents tumours that express estrogen and/or progesterone enzymes, which play a crucial role in the growth and proliferation of breast cancer cells. Aromatase inhibitors (AIs) are drugs that inhibit the enzyme aromatase, involved in the biosynthesis of estrogen and are used for the treatment of HR-positive breast cancer. The USFDA-approved nonsteroidal AIs contain 1,2,4-triazole heterocycle. So, in the present study, we screened seventy-eight 1,2,4-triazole analogues from different literature resources and generated a pharmacophore model. After several validation protocols, Hypo1 was selected as the best model and was used as a 3D query for screening 1,2,4-triazole analogues (15,583) obtained from the CHEMBL database. A dataset containing 320 ligands with estimated activity (IC50< 0.1 µM) was subjected to molecular docking against the aromatase enzyme (PDB ID: 3S79). Amongst the 320 ligands, 30 compounds exhibited better binding energy compared to the standard drug letrozole. These 30 hits were further considered for the design of two novel molecules which were initially assessed for their ADMET properties followed by pharmacophore mapping, docking and molecular dynamics simulation. The in silico findings suggest that both the designed molecules can be considered drug-like candidates for the treatment of breast cancer through aromatase inhibition.

Molecular SimulationVol. 50(15)
Guru Ghasidas Vishwavidyalaya (IN), Parul University (IN)
Good health and well-being
Openalex Percentile: Top 4%
Computational Drug Discovery Methods
5.06
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