Application of MIA-QSAR in Designing New Protein P38 MAP Kinase Compounds Using a Genetic Algorithm

نویسندگان

چکیده

Multivariate image analysis quantitative structure-activity relationship (MIA-QSAR) study aims to obtain information from a descriptor set, which are pixels of two-dimensional molecule structures. In the QSAR protein P38 mitogen-activated (MAP) kinase compounds, genetic algorithm application for pixel selection and processing is investigated. There between structure pIC50 based on obtained. (The negative logarithm half-maximal inhibitory concentration ( IC50 ), so = −log .) Protein MAP inhibitors used in treatment malignant tumors. The development model predict these compounds was performed this study. To accomplish this, molecules were first plotted fixed same coordinates ChemSketch. Then, images processed MATLAB program. Partial least squares (PLS) model, orthogonal signal correction partial (OSC-PLS) (GA-PLS) methods generate models, prediction performed. GA-PLS has highest predictive power series statistical parameters such as root mean square error (RMSEP) relative standard errors (RSEP). Finally, molecular junction (docking) done predicted activity (QSAR) with an appropriate receptor acceptable results These good proper better properties.

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ژورنال

عنوان ژورنال: Periodica Polytechnica Chemical Engineering

سال: 2023

ISSN: ['1587-3765', '0324-5853']

DOI: https://doi.org/10.3311/ppch.20852