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Volume 78
Issue 2
10.3797/scipharm.0912-22
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Scientia Pharmaceutica is published by MDPI from Volume 84 Issue 3 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Austrian Pharmaceutical Society (Österreichische Pharmazeutische Gesellschaft, ÖPhG).
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Article

3D-QSAR Design of New Escitalopram Derivatives for the Treatment of Major Depressive Disorders

by
Speranta AVRAM
1,*,
Catalin BUIU
1,2,
Daniel M. DUDA-SEIMAN
3,
Corina DUDA-SEIMAN
4 and
Dan MIHAILESCU
1
1
Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, 91-95, Splaiul Independentei, RO-76201, Bucharest, Romania
2
Laboratory of Bioinformatics, Faculty of Control and Computers, Politehnica University of Bucharest, 313 Spl. Independentei, RO-060042, Bucharest, Romania
3
Department of Medical Ambulatory, University of Medicine and Pharmacy “Victor Babes”, 49, B-dul C.D. Loga, RO-300020, Timisoara, Romania
4
Department of Chemistry, Faculty of Chemistry-Biology-Geography, West University of Timisoara, 16, Pestalozzi, RO-300115, Timisoara, Romania
*
Author to whom correspondence should be addressed.
Sci. Pharm. 2010, 78(2), 233-248; https://doi.org/10.3797/scipharm.0912-22
Submission received: 21 December 2009 / Accepted: 4 May 2010 / Published: 5 May 2010
Versions Notes

Abstract

Antidepressants are psychiatric agents used for the treatment of different types of depression being at present amongst the most commonly prescribed drug, while their effectiveness and adverse effects are the subject of many studies and competing claims. Having studied five QSAR models predicting the biological activities of 18 antidepressants, already approved for clinical treatment, in interaction with the serotonin transporter (SERT), we attempted to establish the membrane ions’ contributions (sodium, potassium, chlorine and calcium) supplied by donor/acceptor hydrogen bond character and electrostatic field to the antidepressant activity. Significant cross-validated correlation q2 (0.5–0.6) and the fitted correlation r2 (0.7–0.82) coefficients were obtained indicating that the models can predict the antidepressant activity of compounds. Moreover, considering the contribution of membrane ions (sodium, potassium and calcium) and hydrogen bond donor character, we have proposed a library of 24 new escitalopram structures, some of them probably with significantly improved antidepressant activity in comparison with the parent compound.
Keywords: Depression; Antidepressants; Membrane ions; SERT Depression; Antidepressants; Membrane ions; SERT

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MDPI and ACS Style

AVRAM, S.; BUIU, C.; DUDA-SEIMAN, D.M.; DUDA-SEIMAN, C.; MIHAILESCU, D. 3D-QSAR Design of New Escitalopram Derivatives for the Treatment of Major Depressive Disorders. Sci. Pharm. 2010, 78, 233-248. https://doi.org/10.3797/scipharm.0912-22

AMA Style

AVRAM S, BUIU C, DUDA-SEIMAN DM, DUDA-SEIMAN C, MIHAILESCU D. 3D-QSAR Design of New Escitalopram Derivatives for the Treatment of Major Depressive Disorders. Scientia Pharmaceutica. 2010; 78(2):233-248. https://doi.org/10.3797/scipharm.0912-22

Chicago/Turabian Style

AVRAM, Speranta, Catalin BUIU, Daniel M. DUDA-SEIMAN, Corina DUDA-SEIMAN, and Dan MIHAILESCU. 2010. "3D-QSAR Design of New Escitalopram Derivatives for the Treatment of Major Depressive Disorders" Scientia Pharmaceutica 78, no. 2: 233-248. https://doi.org/10.3797/scipharm.0912-22

APA Style

AVRAM, S., BUIU, C., DUDA-SEIMAN, D. M., DUDA-SEIMAN, C., & MIHAILESCU, D. (2010). 3D-QSAR Design of New Escitalopram Derivatives for the Treatment of Major Depressive Disorders. Scientia Pharmaceutica, 78(2), 233-248. https://doi.org/10.3797/scipharm.0912-22

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