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Molecular modeling approaches for the prediction of selected pharmacokinetic properties
- Publication Year :
- 2018
- Publisher :
- Bentham Science Publishers : United Arab Emirates, 2018.
-
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.
- Subjects :
- Models, Molecular
Computer science
Administration, Oral
Quantitative Structure-Activity Relationship
Ibuprofen
Serum Albumin, Human
volume of distribution
clearance
Machine learning
computer.software_genre
030226 pharmacology & pharmacy
Field (computer science)
03 medical and health sciences
0302 clinical medicine
Drug Discovery
Humans
030304 developmental biology
Interpretability
0303 health sciences
business.industry
Drug discovery
molecular modeling
unbound fraction
General Medicine
Bioavailability
Warfarin
Artificial intelligence
business
bioavailability
computer
pharmacokinetics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....3e5bb7557f90dab07bf653642873f917