Literature DB >> 24269285

Replicated, replicable and relevant-target engagement and pharmacological experimentation in the 21st century.

Terry Kenakin1, David B Bylund2, Myron L Toews2, Kevin Mullane3, Raymond J Winquist4, Michael Williams5.   

Abstract

A pharmacological experiment is typically conducted to: i) test or expand a hypothesis regarding the potential role of a target in the mechanism(s) underlying a disease state using an existing drug or tool compound in normal and/or diseased tissue or animals; or ii) characterize and optimize a new chemical entity (NCE) targeted to modulate a specific disease-associated target to restore homeostasis as a potential drug candidate. Hypothesis testing necessitates an intellectually rigorous, null hypothesis approach that is distinct from a high throughput fishing expedition in search of a hypothesis. In conducting an experiment, the protocol should be transparently defined along with its powering, design, appropriate statistical analysis and consideration of the anticipated outcome (s) before it is initiated. Compound-target interactions often involve the direct study of phenotype(s) unique to the target at the cell, tissue or animal/human level. However, in vivo studies are often compromised by a lack of sufficient information on the compound pharmacokinetics necessary to ensure target engagement and also by the context-free analysis of ubiquitous cellular signaling pathways downstream from the target. The use of single tool compounds/drugs at one concentration in engineered cell lines frequently results in reductionistic data that have no physiologically relevance. This overview, focused on trends in the peer-reviewed literature, discusses the execution and reporting of experiments and the criteria recommended for the physiologically-relevant assessment of target engagement to identify viable new drug targets and facilitate the advancement of translational studies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Drug discovery; Pharmacology; Receptors; Systems biology; Target engagement

Mesh:

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Year:  2013        PMID: 24269285     DOI: 10.1016/j.bcp.2013.10.024

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  1 in total

1.  Experimental design and analysis and their reporting: new guidance for publication in BJP.

Authors:  Michael J Curtis; Richard A Bond; Domenico Spina; Amrita Ahluwalia; Stephen P A Alexander; Mark A Giembycz; Annette Gilchrist; Daniel Hoyer; Paul A Insel; Angelo A Izzo; Andrew J Lawrence; David J MacEwan; Lawrence D F Moon; Sue Wonnacott; Arthur H Weston; John C McGrath
Journal:  Br J Pharmacol       Date:  2015-07       Impact factor: 8.739

  1 in total

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