QSPR modelling of <i>in vitro</i> degradation half-life of acyl glucuronides
Creators: name: Gulcin Tugcu
name: Sipahi, Hande
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences

description: Acyl glucuronidation is an important Phase II biotransformation, which is an efficient detoxification mechanism for the metabolism of carboxylic acid group-containing drugs. However, the reactivity of acyl glucuronide (AG) metabolites associated with short half-lives may be an indication of idiosyncratic drug toxicity.The degradation half-lives of AGs elucidate several important reactions such as hydrolysis, acyl migration and covalent binding to proteins. Prediction of degradation half-life using computational methods is a promising alternative approach to costly and time-consuming experiments, enabling <i>a priori</i> evaluation of the properties of drug candidates during the drug design process.The main objective of the present study was to develop a linear model for the quantitative prediction of half-lives of acyl glucuronidated drug-like compounds. The proposed model revealed that the number of total quaternary carbons, the complexity of the ring in the compound, Sanderson electronegativities, and dipole moment of the compound are important molecular features in predicting the half-life of an AG.The rigorously validated model can contribute to a better understanding of molecular features of these drugs to predict degradation half-lives. Acyl glucuronidation is an important Phase II biotransformation, which is an efficient detoxification mechanism for the metabolism of carboxylic acid group-containing drugs. However, the reactivity of acyl glucuronide (AG) metabolites associated with short half-lives may be an indication of idiosyncratic drug toxicity. The degradation half-lives of AGs elucidate several important reactions such as hydrolysis, acyl migration and covalent binding to proteins. Prediction of degradation half-life using computational methods is a promising alternative approach to costly and time-consuming experiments, enabling <i>a priori</i> evaluation of the properties of drug candidates during the drug design process. The main objective of the present study was to develop a linear model for the quantitative prediction of half-lives of acyl glucuronidated drug-like compounds. The proposed model revealed that the number of total quaternary carbons, the complexity of the ring in the compound, Sanderson electronegativities, and dipole moment of the compound are important molecular features in predicting the half-life of an AG. The rigorously validated model can contribute to a better understanding of molecular features of these drugs to predict degradation half-lives.