Archives for Chemistry Experiments of 2-Ethyl-4-methyl-1H-imidazole-1-propanenitrile

Application of 23996-25-0, Enzymes are biological catalysts that produce large increases in reaction rates and tend to be specific for certain reactants and products. I hope my blog about 23996-25-0 is helpful to your research.

Application of 23996-25-0, Enzymes are biological catalysts that produce large increases in reaction rates and tend to be specific for certain reactants and products. 23996-25-0, Name is 2-Ethyl-4-methyl-1H-imidazole-1-propanenitrile, SMILES is CCC1=NC(C)=CN1CCC#N, belongs to imidazoles-derivatives compound. In a article, author is Bucinski, A, introduce new discover of the category.

Artificial neural networks for prediction of antibacterial activity in series of imidazole derivatives

Artificial neural networks (ANNs) have been applied for the quantitative structure-activity relationships (QSAR) studies of antibacterial activity against Escherichia coli, Serratia marcescens, Proteus vulgaris, Klebsiella pneumoniae and Pseudomonas aeruginosa of a large series of new imidazole derivatives. Antibacterial activity against individual bacteria, expressed as logarithm of reciprocal of the minimal inhibitory concentrations, log 1/MIC, has been related to a number of physicochemical and structural parameters of the imidazole derivatives investigated. Molecular descriptors of agents were obtained by quantum-chemical calculations combined with molecular modelling and from respective structure fragment reference data (e.g., log P). A high correlation resulted between the predicted from ANN model antibacterial activity, log 1/MICANN, and that from biological experiments, log 1/MICexp, both for the data used in learning and in the testing sets of imidazoles. Correlation coefficient, R, depending oil the type of bacteria and Structural subset of analysed imidazole compounds, varies front 0.875 to 0.969. The applicability of ANNs has been demonstrated for the prediction of pharmacological potency of new imidazole derivatives based on their structural descriptors generated exclusively by calculation chemistry.

Application of 23996-25-0, Enzymes are biological catalysts that produce large increases in reaction rates and tend to be specific for certain reactants and products. I hope my blog about 23996-25-0 is helpful to your research.