Computational Molecular Modeling of Pin1 Inhibition Activity of Quinazoline, Benzophenone, and Pyrimidine Derivatives
Abstract:
Pin1 (peptidyl-prolyl cis-trans isomerase NIMA-interacting 1) is directly involved in cancer cell-cycle regulation because it catalyses the cis-trans isomerization of prolyl amide bonds in proteins. In this sense, a modeling evaluation of the inhibition of Pin1 using quinazoline, benzophenone, and pyrimidine derivatives was performed by using multilinear, random forest, SMOreg, and IBK regression algorithms on a dataset of 51 molecules, which was divided randomly in 78% for the training and 22% for the test set. Topological descriptors were used as independent variables and the biological activity (pIC 50 ) as a dependent variable. The most robust individual model contained 9 features, and its pbkp_redictive capability was statistically validated by the correlation coefficient for adjusting, 10-fold cross validation, test set, and bootstrapping with values of 0.910, 0.819, 0.841, and 0.803, respectively. In order to improve the pbkp_rediction of the pIC 50 values, the aggregation of the individual models was performed through the construction of an ensemble, and the most robust one was constructed by two individual models (LR3 and RF1) by applying the IBK algorithm, and a substantial improvement in pbkp_redictive performance is reflected in the values of R 2ADJ = 0.982, Q 2CV = 0.962, and Q 2EXT = 0.918. Mean square errors <0.165 and good fitting between calculated and experimental pIC 50 values suggest a robustness on the pbkp_rediction of pIC 50 . Regarding the docking simulation, a binding affinity between the molecules and the active site for the Pin1 inhibition into the protein (3jyj) was estimated through the calculation of the binding free energy (BE), with values in the range of -5.55 to -8.00 kcal/mol, implying a stabilizing interaction molecule receptor. The ligand interaction diagrams between the drugs and amino acid in the binding site for the three most active compounds denoted a good wrapper of these organic compounds into the protein mainly by polar amino acids.
Año de publicación:
2019
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Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Descubrimiento de fármacos
- Biología molecular
Áreas temáticas:
- Química física