Journal of Materials Physics and Chemistry
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Journal of Materials Physics and Chemistry. 2022, 10(2), 49-58
DOI: 10.12691/jmpc-10-2-3
Open AccessArticle

Development of a Predictive Model of the Antidiabetic Activity of a Thiadiazole Molecule Series by Density Functional Theory Method

Chiépi Nadège Dominique Dou1, Mamadou Guy-Richard Koné1, 2, , Georges Stéphane Dembélé1, 2, Doh Soro1, Fandia Konaté1 and Nahossé Ziao1, 2

1Laboratoire de Thermodynamique et de Physico-Chimie du Milieu, Université NANGUI ABROGOUA, Abidjan, Côte-d’Ivoire

2Groupe Ivoirien de Recherches en Modélisation des Maladies (GIR2M), Université NANGUI ABROGOUA, Abidjan, Côte-d’Ivoire

Pub. Date: October 16, 2022

Cite this paper:
Chiépi Nadège Dominique Dou, Mamadou Guy-Richard Koné, Georges Stéphane Dembélé, Doh Soro, Fandia Konaté and Nahossé Ziao. Development of a Predictive Model of the Antidiabetic Activity of a Thiadiazole Molecule Series by Density Functional Theory Method. Journal of Materials Physics and Chemistry. 2022; 10(2):49-58. doi: 10.12691/jmpc-10-2-3

Abstract

The aim of this study is to develop a predictive model of the antidiabetic activity of a series of twenty-four (24) 1,3,4-thiadiazole molecules using quantum chemical methods. The molecules were optimised from the B3LYP/6-31+G (d, p) level of theory. The extracted descriptors are: bond length (l(C-N)), bond angle α(S-C-N); dipole moment (µ(D)) and standard entropy of formation (∆S0f). This study was carried out quantitatively and qualitatively using the Multiple Linear Regression (RLM) and Non-Multiple Linear Regression (NMR) methods. Through this study, we have developed two regression models that are accredited with good statistical indicators. The statistical indicators of the model obtained by the RLM method are: the coefficient of determination R²= 0.931, the standard deviation S = 0.045, the Fischer coefficient F = 202.657, and the correlation coefficient of the cross-validation Q2cv=0.931. Those of the second model developed by the RLNM method are: R2 =0.942; S of 0.048, F of 241.887 and Q2cv= 0.942. Furthermore, the bond angle α(S-C-N) is the priority descriptor for the prediction of the biological activity of the studied compounds. The acceptance criteria of Eriksson et al. used for the test set are verified. The external validation set was also verified for all criteria of Tropsha et al and Roy et al.

Keywords:
QSAR RLM. RLNM Antidiabetic activity 134-thiadiazole derivatives

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