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Original Research Article | OPEN ACCESS

Pharmacophore and Functional Group Identification of 4,4R42;-dihydroxydiphenylmethane as Bisphenol-A (BSA) Derivative

Hayriye Yılmaz1 , Mehmet Boz2, Burçin Türkmenoğlu2, Yahya Güzel2

1Faculty of Pharmacy; 2Faculty of Science, Department of Chemistry, Erciyes University, Kayseri, 38039, Turkey.

For correspondence:-  Hayriye Yılmaz   Email: hayriyey@erciyes.edu.tr   Tel:+903524379169

Received: 4 December 2012        Accepted: 19 October 2013        Published: 25 January 2014

Citation: Yılmaz H, Boz M, Türkmenoğlu B, Güzel Y. Pharmacophore and Functional Group Identification of 4,4R42;-dihydroxydiphenylmethane as Bisphenol-A (BSA) Derivative. Trop J Pharm Res 2014; 13(1):116-126 doi: 10.4314/tjpr.v13i1.17

© 2014 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To predict activity and reveal the pharmacophore (Pha) with certain electronic and topological characteristics for a series of 37 molecules of 4,4′-dihydroxydiphenylmethane, using 4D QSAR (four dimensional Quantitative-Structure Activity Relationships) model.
Methods: We used a computational method called molecular conformer electron topological (MCET) for this study. The quality of Pha and the corresponding quantitative model of activity was validated (and deemed acceptable) by an independent test set of 7 additional analogs with known experimental activities out of 30 molecules of the training set.
Results: The resulting MCET method demonstrated a high statistical capacity for predicting the activity of the molecules under consideration (R2= 0.703 and Q2 = 0.573).
Conclusion: The model is based on pure computational methods (electronic structure calculations and matrix comparisons) and provides the correct solution within the assumptions of the method, experimental uncertainty, and computational approximations. A different procedure from other QSAR approaches was used to elucidate the interactions between the conformers of the ligand and the target protein.

Keywords: Drug design, estrogenic activity, electron topologic method, 4D-Quantitative-Structure Activity Relationships, 4,4R42; dihydroxydiphenylmethane

Impact Factor
Thompson Reuters (ISI): 0.523 (2021)
H-5 index (Google Scholar): 39 (2021)

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