Predicting the structures of metabolites formed in humans can provide advantageous insights for the development of drugs and other compounds. Here we present GLORYx, which integrates machine learning-based site of metabolism (SoM) prediction with reaction rule sets to predict and rank the structures of metabolites that could potentially be formed by phase 1 and/or phase 2 metabolism. GLORYx extends the approach from our previously developed tool GLORY, which predicted metabolite structures for cytochrome P450-mediated metabolism only. A robust approach to ranking the predicted metabolites is attained by using the SoM probabilities predicted by the FAME 3 machine learning models to score the predicted metabolites. On a manually curated test data set containing both phase 1 and phase 2 metabolites, GLORYx achieves a recall of 77% and an area under the receiver operating characteristic curve (AUC) of 0.79. Separate analysis of performance on a large amount of freely available phase 1 and phase 2 metabolite data indicates that achieving a meaningful ranking of predicted metabolites is more difficult for phase 2 than for phase 1 metabolites. GLORYx is freely available as a web server at https://nerdd.zbh.uni-hamburg.de/ and is also provided as a software package upon request. The data sets as well as all the reaction rules from this work are also made freely available.

• MeSH
• biotransformace * MeSH
• lidé MeSH
• molekulární struktura MeSH
• strojové učení * MeSH
• testy toxicity * MeSH
• xenobiotika chemie   metabolismus   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• xenobiotika MeSH

Glycation is a process closely related to the aging and pathogenesis of diabetic complications. In this process, reactive α-dicarbonyl compounds (e.g., methylglyoxal) cause protein modification accompanied with potential loss of their biological activity and persistence of damaged molecules in tissues. We suppose that glutathione S-transferases (GSTs), a group of cytosolic biotransformation enzymes, may be modified by glycation in vivo, which would provide a rationale of its use as a model protein for studying glycation reactions. Glycation of GST by methylglyoxal, fructose, and glucose in vitro was studied. The course of protein glycation was evaluated using the following criteria: enzyme activity, formation of advanced glycation end-products using fluorescence and western blotting, amine content, protein conformation, cross linking and aggregation, and changes in molecular charge of GST. The ongoing glycation by methylglyoxal 2 mM resulted in pronounced decrease in the GST activity. It also led to the loss of 14 primary amino groups, which was accompanied by changes in protein mobility during native polyacrylamide gel electrophoresis. Formation of cross links with molecular weight of 75 kDa was observed. Obtained results can contribute to understanding of changes, which proceed in metabolism of xenobiotics during diabetes mellitus and ageing.

• MeSH
• diabetes mellitus enzymologie   MeSH
• fruktosa chemie   metabolismus   MeSH
• glukosa chemie   metabolismus   MeSH
• glutathiontransferasa chemie   metabolismus   MeSH
• katalýza MeSH
• lidé MeSH
• produkty pokročilé glykace chemie   metabolismus   MeSH
• pyruvaldehyd chemie   metabolismus   MeSH
• stárnutí metabolismus   MeSH
• xenobiotika chemie   metabolismus   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• srovnávací studie MeSH
• Názvy látek
• fruktosa MeSH
• glukosa MeSH
• glutathiontransferasa MeSH
• produkty pokročilé glykace MeSH
• pyruvaldehyd MeSH
• xenobiotika MeSH