Metabolism is the process of simultaneous chemical reactions happening in organisms that are of vital importance for its existence. Reactions are either catabolic or anabolic in their origin, together they form different metabolic pathways, regulated mainly by different sets of metabolic enzymes. Xenobiotic is an exogenous chemical substance that is present in the organism. Their metabolism is of crucial importance for all organisms. Regulation is made by many specific xenobiotic enzymes. Their main representatives are a family of cytochromes P450. During the process, many pharmacodynamic properties are affected, which can cause unwanted consequences. For metabolic predictions and quantification of the metabolites, many methods were developed. We can differentiate between experimental and theoretical methods. Experimental methods are based on many different analytical methods, one of the most used is LC-MS/MS. Their main objective is qualitative and quantitative determination of metabolites in different biological samples. The premises of the theoretical methods are different computational data bases combined with special programming tools, that have the capability to predict and identify metabolic pathways and their products. Many of them are based on human metabolism and human metabolic enzymes. Some of them are presented and manually tried in this work: BioTransformer, GLORY and KEGG Pathway Database. All of them have different approaches to data collection and predictions.
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