2023
DOI: 10.1016/j.drudis.2023.103728
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Comparison and summary of in silico prediction tools for CYP450-mediated drug metabolism

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Cited by 6 publications
(5 citation statements)
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“…Among them, we focused on the metabolism of xenobiotics by cytochrome P450, drug metabolism-cytochrome P450 and Toll and IMD signaling pathway. The metabolism of xenobiotics by cytochrome P450, and drug metabolism-cytochrome P450 were upregulated to varying degrees and responsible for the metabolic breakdown of drugs/xenobiotics via particular enzyme systems (e.g., the CYP450 family) 29 . Cytochromes P450 enzymes primarily function as oxidizing agents, with specific P450 families playing a pivotal role in drug metabolism 30 .…”
Section: Resultsmentioning
confidence: 99%
“…Among them, we focused on the metabolism of xenobiotics by cytochrome P450, drug metabolism-cytochrome P450 and Toll and IMD signaling pathway. The metabolism of xenobiotics by cytochrome P450, and drug metabolism-cytochrome P450 were upregulated to varying degrees and responsible for the metabolic breakdown of drugs/xenobiotics via particular enzyme systems (e.g., the CYP450 family) 29 . Cytochromes P450 enzymes primarily function as oxidizing agents, with specific P450 families playing a pivotal role in drug metabolism 30 .…”
Section: Resultsmentioning
confidence: 99%
“…Consequently, inhibiting CYP2D6 may raise the potential for toxicity. Hence, in this research, compounds that do not hinder the CYP2D6 enzyme were selected [46]. According to the Globally Harmonized System of Classification and Labelling of Chemicals (GHS), there are six acute toxicity classes.…”
Section: Molecular Dockingmentioning
confidence: 99%
“…In contrast, structure-based methods directly use the three-dimensional structures of CYP enzymes. “Machine learning”, which has typically been used to support ligand-based modeling [ 9 , 10 ], has the capacity to simultaneously incorporate aspects associated with ligand-based and structure-based approaches within a single model [ 11 ], and therefore may be considered a third category. The success of ligand-based modeling is impressive, with the caveat that a limitation or bias is necessarily imposed by the training set.…”
Section: Introductionmentioning
confidence: 99%