title: Predictions of the ADMET properties of candidate drug molecules utilizing different QSAR/QSPR modelling approaches.
abstract: The integration of early ADMET (absorption, distribution, metabolism, excretion and toxicity) profiling, or simply prediction, of 'lead' molecules to speed-up the 'lead' selection further for phase-I trial without losing large amount of revenue. The ADMET profiling and prediction is mostly dependent of a number of molecular descriptors, for example, Lipinski's 'Rule of 5' (Ro5). Recently a large number of articles have been reporting that it possible to do some prediction of the ADMET properties using the structural features of the molecules, utilizing several and multiple approaches. One of the most important approaches is the QSAR/QSPR modelling of the data derived from their activity profiles and their different structural features (i.e., quantitative molecular descriptors).
authors.affiliation: GenØk - Center for Biosafety, Forskningsparken, PB 6418, 9294 Tromsø, Norway. mahmud.khan@uit.no
authors.forename: Mahmud Tareq Hassan
authors.initials: MT
authors.lastname: Khan
mesh_terms: D015195:Drug Design; D006801:Humans; D008958:Models, Molecular; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D010599:Pharmacokinetics; D021281:Quantitative Structure-Activity Relationship; D014018:Tissue Distribution
chemical_list: D004364:Pharmaceutical Preparations