A Study of QSAR based on Polynomial Modeling in Matlab

• Main Authors: Fatima Sapundzhi, Tatyana Dzimbova
• Format: Article
• Language: English
• Published: International Association of Online Engineering (IAOE) 2019-12-01
• Series: International Journal of Online and Biomedical Engineering
• Subjects: computer modelling; polynomial fitting; matlab; molecular docking; optimization functions; qsar; 3d modelling; opioids
• Online Access: https://online-journals.org/index.php/i-joe/article/view/11566

Mu-opioid receptor (MOR) is an attractive target for <em>in silico</em> docking experiments. Many potent analgesics currently in use act through the MOR. The main objective of the present work was to find the polynomial function for modelling of the structure-activity relationship of a series of MOR analogues and the results of the molecular docking with MOR (PDBid:4dkl). The relationship of the biological activity of the ligands with the ChemScore function and with the total energy (MolDock function) was modelled with first- to third-degree polynomials and surface fitted method, assessed by least squares method. The finding, established in the paper, suggests that the third order polynomial could be successfully used for modelling of the relationship between the biological effect of the MOR analogues and results from docking procedure. Analysis and comparison of the data from in vitro tests and docking studies could help to understand better the relationship between in vitro biological effects and docking studies and to answer whether the models of the biological macromolecules (in our case MOR) correspond to the real 3D structure.