title: Artificial neural networks for prediction of antibacterial activity in series of imidazole derivatives.
abstract: 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/MIC(ANN), and that from biological experiments, log 1/MIC(exp), both for the data used in learning and in the testing sets of imidazoles. Correlation coefficient, R, depending on the type of bacteria and structural subset of analysed imidazole compounds, varies from 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.
authors.affiliation: Division of Food Science, Institute of Animal Reproduction & Food Research, Polish Acaademy of Sciences, Olsztyn.
authors.forename: Adam
authors.initials: A
authors.lastname: Bucinski
authors.forename: Michal Jan
authors.initials: MJ
authors.lastname: Markuszewski
authors.forename: Wlodzimierz
authors.initials: W
authors.lastname: Wiktorowicz
authors.forename: Jerzy
authors.initials: J
authors.lastname: Krysinski
authors.forename: Roman
authors.initials: R
authors.lastname: Kaliszan
mesh_terms: D000900:Anti-Bacterial Agents / Q000737:chemistry* / Q000494:pharmacology*; D001419:Bacteria / Q000187:drug effects; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D007093:Imidazoles / Q000737:chemistry* / Q000494:pharmacology*; D008826:Microbial Sensitivity Tests; D008958:Models, Molecular; D008968:Molecular Conformation; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D013329:Structure-Activity Relationship
chemical_list: D000900:Anti-Bacterial Agents; D007093:Imidazoles