Exposition and reactivity optimization to predict sites of metabolism in chemicals.
Chemical modifications of drugs induced by phase I biotransformations significantly affect their pharmacokinetic properties. Because the metabolites produced can themselves have a pharmacological effect and an intrinsic toxicity, medicinal chemists need to accurately predict the sites of metabolism (SoM) of drugs as early as possible. However, site of metabolism prediction is rarely accompanied by a prediction of the relative abundance of the various metabolites. Such a prediction would be a great help in the study of drug– drug interactions and in the process of reducing the toxicity of potential drug candidates. The aim of this paper is to present recent developments in the prediction of xenobiotic metabolism and to use concrete examples to explain the computational mechanism employed.
Gabriele
G
Cruciani
Massimo
M
Baroni
Paolo
P
Benedetti
Laura
L
Goracci
Cosimo Gianluca
CG
Fortuna
D000465:Algorithms; D003198:Computer Simulation; D003577:Cytochrome P-450 Enzyme System / Q000378:metabolism*; D006801:Humans; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D012984:Software
D004364:Pharmaceutical Preparations; D003577:Cytochrome P-450 Enzyme System