Submit Manuscript  

Article Details


Molecular Modeling Approaches for the Prediction of Selected Pharmacokinetic Properties

[ Vol. 18 , Issue. 26 ]

Author(s):

Emilio S. Petito, David J.R. Foster, Michael B. Ward and Matthew J. Sykes*   Pages 2230 - 2238 ( 9 )

Abstract:


Poor profiles of potential drug candidates, including pharmacokinetic properties, have been acknowledged as a significant hindrance to the development of modern therapeutics. Contemporary drug discovery and development would be incomplete without the aid of molecular modeling (in-silico) techniques, allowing the prediction of pharmacokinetic properties such as clearance, unbound fraction, volume of distribution and bioavailability. As with all models, in-silico approaches are subject to their interpretability, a trait that must be balanced with accuracy when considering the development of new methods. The best models will always require reliable data to inform them, presenting significant challenges, particularly when appropriate in-vitro or in-vivo data may be difficult or time-consuming to obtain. This article seeks to review some of the key in-silico techniques used to predict key pharmacokinetic properties and give commentary on the current and future directions of the field.

Keywords:

Molecular modeling, Pharmacokinetics, Clearance, Unbound fraction, Volume of distribution, Bioavailability.

Affiliation:

School of Pharmacy and Medical Sciences, Division of Health Sciences, University of South Australia Cancer Research Institute, Adelaide, South Australia 5001, School of Pharmacy and Medical Sciences, Division of Health Sciences, University of South Australia Cancer Research Institute, Adelaide, South Australia 5001, School of Pharmacy and Medical Sciences, Division of Health Sciences, University of South Australia Cancer Research Institute, Adelaide, South Australia 5001, School of Pharmacy and Medical Sciences, Division of Health Sciences, University of South Australia Cancer Research Institute, Adelaide, South Australia 5001

Graphical Abstract:



Read Full-Text article