A Combined DFT and QSAR Calculations to Study Substituted Biphenyl imidazoles as Bombesin Receptor Subtype-3 Agonists

Author(s): Mohsen Shahlaei, Amin Nowroozi, Reza Khodarahmi

Journal Name: Letters in Drug Design & Discovery

Volume 11 , Issue 5 , 2014

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The DFT-B3LYP method, with the basis set 6-31G (d, p), was employed to calculate some quantum chemical descriptors of 33 biphenyl imidazole derivatives as bombesin receptor subtype-3 agonists. The descriptors were then employed to establish a quantitative structure activity relationship (QSAR) using combination of principal component analysis (PCA) and radial basis function neural network (RBF). The statistical results indicate that the correlation coefficient (R2) and cross validation using leave-one-out were 0.968 and 0.963, respectively. To validate the predictive power of the resulting model, external validation was carried out on the test set. The results show that the PCA-RBF model has not only favorable estimation stability but also good prediction power. Furthermore, it can be concluded that the agonist activity of studied compounds toward the bombesin receptor subtype-3 depends on the electronic distribution.

Keywords: Bombesin receptor subtype-3 agonists, Density functional theory, Radial basis function neural network, QSAR, Biphenyl imidazole derivatives, Nonlinear relationship.

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Article Details

Year: 2014
Published on: 24 April, 2014
Page: [665 - 676]
Pages: 12
DOI: 10.2174/1570180811666131203002858
Price: $65

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