Method for predicting inhibition concentration of cytochrome P450 enzyme CYP1A2 inhibitor by utilizing simplified partial least squares
A CYP1A2, partial least squares technology, applied in the interdisciplinary field of chemometrics and chemical informatics, can solve the problems that the partial least squares method cannot meet the calculation requirements, and achieve the goal of improving prediction quality and efficiency, reducing risks, and stabilizing the model Effect
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[0050] A simplified partial least squares (SIMPLS) method for predicting the inhibitory concentration of cytochrome P450 enzyme CYP1A2 inhibitors, specific implementation steps:
[0051] 1. Establishment of sample set:
[0052] A total of 52 structures of cytochrome P450 inhibitor molecules and the corresponding inhibitory concentrations were collected, using Gaussion
[0053] view draws the structure of each inhibitor molecule, and optimizes the structure of the compound through the density functional theory (DFT) in Gaussion03 using the B3LYP method and the 6-31G basis set until the four conditions in Gaussion 03 reach convergence. Task, the four conditions are Maximum Force (maximum force, force is gradient), Maximum Displacement (maximum displacement), Rms Force (square root of gradient), Rms Displacement (square root of displacement);
[0054] 2. Establishment of inhibitor molecular descriptor set:
[0055] Modeling cannot directly model the structure of the inhibitor m...
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