Abstract
Pharmacokinetics has been recognized as one of the elements determining the probability of success in pharmaceutical research. As a result, compounds are routinely evaluated in drug discovery for their absorption, distribution, metabolism and elimination properties. The primary objective of these studies is to eliminate “flawed” molecules or a structural class based on preset selection criteria, while building a knowledge base for compilation of structure-activity relationships to guide chemistry synthesis efforts. This article is intended to provide a brief overview combined with critical evaluation on several strategies employed during lead optimization processes, and the analyses are supported by case studies. Future directions are discussed in the context of overcoming deficiencies in the current practice by developing tools enabling better prediction of clinical outcomes.
Keywords: Drug discovery, drug metabolism, pharmacokinetics, structure-activity relationship
Current Pharmaceutical Design
Title: Drug Metabolism and Pharmacokinetics in Support of Drug Design
Volume: 15 Issue: 19
Author(s): Wei Tang and Anthony Y.H. Lu
Affiliation:
Keywords: Drug discovery, drug metabolism, pharmacokinetics, structure-activity relationship
Abstract: Pharmacokinetics has been recognized as one of the elements determining the probability of success in pharmaceutical research. As a result, compounds are routinely evaluated in drug discovery for their absorption, distribution, metabolism and elimination properties. The primary objective of these studies is to eliminate “flawed” molecules or a structural class based on preset selection criteria, while building a knowledge base for compilation of structure-activity relationships to guide chemistry synthesis efforts. This article is intended to provide a brief overview combined with critical evaluation on several strategies employed during lead optimization processes, and the analyses are supported by case studies. Future directions are discussed in the context of overcoming deficiencies in the current practice by developing tools enabling better prediction of clinical outcomes.
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Cite this article as:
Tang Wei and Lu Y.H. Anthony, Drug Metabolism and Pharmacokinetics in Support of Drug Design, Current Pharmaceutical Design 2009; 15 (19) . https://dx.doi.org/10.2174/138161209788682451
DOI https://dx.doi.org/10.2174/138161209788682451 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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