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Журнал структурной химии  / №2 2017

QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY ON THE BINDING AFFINITY OF SOME AMINOTHIAZOLE DERIVATIVES WITH A DOPAMINE RECEPTOR IN BRAIN (300,00 руб.)

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Первый авторMahani
АвторыSheikhghomi S., Sheikhghomi H., Fasihi J.
Страниц5
ID595798
АннотацияQuantitative structure-activity relationship (QSAR) models can be applied as a powerful tool for predicting the response in biological and chemical systems. D2 receptor subtypes as dopamine receptors assist dopaminergic neurotransmission in brain. In this work, binding affinities of synthesized agonists with Di-like receptors in binding assays using rat brain were related to the structural properties of these agonists. The structural descriptors of these compounds are calculated. A stepwise variable selection is applied for PLS modeling. The walk and path counts, 2D autocorrelations, 3D atom pairs, RDF, 3D-MoRSE, WHIM, GETAWAY blocks are among the selected descriptors. The PLS model is built with 5 latent variables. The predictive ability of the model is evaluated on a set of 5 ligands, which are not used in modeling steps and the acceptable results are obtained
УДК541.6:539.2
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY ON THE BINDING AFFINITY OF SOME AMINOTHIAZOLE DERIVATIVES WITH A DOPAMINE RECEPTOR IN BRAIN / M. Mahani [и др.] // Журнал структурной химии .— 2017 .— №2 .— С. 135-139 .— URL: https://rucont.ru/efd/595798 (дата обращения: 15.05.2024)

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Том 58, № 2 UDC 541.6:539.2 QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY ON THE BINDING AFFINITY OF SOME AMINOTHIAZOLE DERIVATIVES WITH A DOPAMINE RECEPTOR IN BRAIN M. Mahani 1, S. Sheikhghomi2, H. Sheikhghomi3 , J. Fasihi3 1Department of Chemistry and Nanochemistry, Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran E-mail: mohmahani@gmail.com 2Department of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran 3Nuclear Science and Technology Institute, Tehran, Iran Received August, 3, 2015 Quantitative structure-activity relationship (QSAR) models can be applied as a powerful tool for predicting the response in biological and chemical systems. <...> D2 receptor subtypes as dopamine receptors assist dopaminergic neurotransmission in brain. <...> In this work, binding affinities of synthesized agonists with D2-like receptors in binding assays using rat brain were related to the structural properties of these agonists. <...> The structural descriptors of these compounds are calculated. <...> A stepwise variable selection is applied for PLS modeling. <...> The walk and path counts, 2D autocorrelations, 3D atom pairs, RDF, 3D-MoRSE, WHIM, GETAWAY blocks are among the selected descriptors. <...> The PLS model is built with 5 latent variables. <...> The predictive ability of the model is evaluated on a set of 5 ligands, which are not used in modeling steps and the acceptable results are obtained. <...> DOI: 10.15372/JSC20170215 Keywords: QSAR, partial least squares, soft modeling, structural descriptors, aminothiazole derivatives, dopamine receptor. <...> Alterations in the dopaminergic function are involved in the pathogenesis of Parkinsons disease [ 4 ], psychomotor diseases, and schizophrenia. <...> Dopamine receptors may be classified into two subfamilies (the D1-like receptors (D1, D5) and the D2-like receptors (D2, D3, D4)) based on the DNA sequence and functional properties [ 3, 5—8]. <...> The D2 dopamine receptor is located on postsynaptic dopaminergic neurons that are centrally involved in reward-mediating mesocorticolimbic pathways. <...> D2 receptors are also known targets of antipsychotic drugs used to treat psychomotor diseases such as schizophrenia, a debilitating mental illness that affects 0.5—1.5 % of the worldwide population. <...> Although the biophysical and pharmacological properties of D2 receptors have been studied <...>