Abstract
Breast cancer is one of the most high-profile malignant diseases in modern society. Among postmenopausal women affected by the disease, a substantial portion has breast tumors that are estrogen-receptor positive. A common therapeutic intervention for this type of cancer is through endocrine therapy. Endocrine agents can act by either diminishing the availability or inhibiting the binding of estrogens to ER. Aromatase catalyzes the conversion of androgens to estrogens in the final step of the biosynthesis of estrogens and is therefore an attractive therapeutic target for inhibition. 3DQSAR pharmacophore modeling studies were undertaken for biphenyl derivatives as aromatase inhibitors in JEG-3 cell lines. A four-point pharmacophore with two H-bond acceptors and two aromatic rings as pharmacophoric features was developed. The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of R2 = 0.977 for training set molecules. The generated model showed excellent predictive power, with a correlation coefficient of Q2 = 0.946 for an external test set. The 3D-QSAR plots illustrated insights into the structure activity relationship of these compounds which may help in the design and development of potent biphenyl derivatives as new aromatase inhibitors.
Keywords: Biphenyl derivatives, docking, 3D-QSAR, JEG-3 cell lines, nonsteroidal aromatase inhibitors, pharmacophore mapping.
Medicinal Chemistry
Title:Pharmacophore Based 3D-QSAR Study of Biphenyl Derivatives as Nonsteroidal Aromatase Inhibitors in JEG-3 Cell Lines
Volume: 9 Issue: 7
Author(s): Lakshmi Narayana Bheemanapalli, Balakumar C, Venkat Rao Kaki, Rajwinder Kaur and Raghuram Rao Akkinepally
Affiliation:
Keywords: Biphenyl derivatives, docking, 3D-QSAR, JEG-3 cell lines, nonsteroidal aromatase inhibitors, pharmacophore mapping.
Abstract: Breast cancer is one of the most high-profile malignant diseases in modern society. Among postmenopausal women affected by the disease, a substantial portion has breast tumors that are estrogen-receptor positive. A common therapeutic intervention for this type of cancer is through endocrine therapy. Endocrine agents can act by either diminishing the availability or inhibiting the binding of estrogens to ER. Aromatase catalyzes the conversion of androgens to estrogens in the final step of the biosynthesis of estrogens and is therefore an attractive therapeutic target for inhibition. 3DQSAR pharmacophore modeling studies were undertaken for biphenyl derivatives as aromatase inhibitors in JEG-3 cell lines. A four-point pharmacophore with two H-bond acceptors and two aromatic rings as pharmacophoric features was developed. The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of R2 = 0.977 for training set molecules. The generated model showed excellent predictive power, with a correlation coefficient of Q2 = 0.946 for an external test set. The 3D-QSAR plots illustrated insights into the structure activity relationship of these compounds which may help in the design and development of potent biphenyl derivatives as new aromatase inhibitors.
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Bheemanapalli Narayana Lakshmi, C Balakumar, Kaki Rao Venkat, Kaur Rajwinder and Akkinepally Rao Raghuram, Pharmacophore Based 3D-QSAR Study of Biphenyl Derivatives as Nonsteroidal Aromatase Inhibitors in JEG-3 Cell Lines, Medicinal Chemistry 2013; 9 (7) . https://dx.doi.org/10.2174/1573406411309070011
DOI https://dx.doi.org/10.2174/1573406411309070011 |
Print ISSN 1573-4064 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6638 |
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