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The aim of the study was to analyze the ability of the microorganism Cunninghamella to carry out the biotransformation of 1-[3-(4-tert-butylphenoxy)propyl]piperidine (DL76) and to compare the obtained results with in silico models. Biotransformation was carried out by three strains of filamentous fungus: Cunninghamella echinulata, Cunninghamella blakesleeana, and Cunninghamella elegans. Most probable direction of DL76 metabolic transition was the oxidation of the methyl group in the tert-butyl moiety leading to the formation of the metabolite with I° alcohol properties. This kind of reaction was conducted by all three strains tested. However, only in the case of C. blakesleeana that biotransformation product had a structure of carboxylic acid. CYP2C19 was identified by Metasite software to be the isoform of major importance in the oxidation process in the tert-butyl moiety of DL76. In silico data coincide with the results of experiments conducted in vitro. It was confirmed that Cunninghamella fungi are a very good model to study the metabolism of xenobiotics. The computational methods and microbial models of metabolism can be used as useful tools in early ADME-Tox assays in the process of developing new drug candidates.
Pubmed ID: 22983742
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Software which predicts metabolic transformations related to cytochrome and flavin-containing monooxygenase mediated reactions in phase I metabolism. MetaSite uses both enzyme-substrate recognition and the chemical transformations induced by the enzyme. MetaSite provides the structure of the metabolites formed with rankings derived from the site of metabolism predictions. This software is not training set dependent, and can predict �hot spots� as well as suggest the regions that contribute most towards each one.
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