Literature DB >> 12776218

Predicting therapeutic value in the lead optimization phase of drug discovery.

Terry Kenakin1.   

Abstract

Recombinant and natural cellular assays for human G-protein-coupled receptors are used to optimize initial lead molecules obtained from screening. Although the activity of these molecules can be assessed on human genotype receptors, there is increasing evidence that cells impose a phenotypic selectivity to molecules in various cellular backgrounds. This opens the possibility of dissimulations between activity seen in lead optimization assays and the intended therapeutic value in humans. This review discusses the mechanisms by which cells can impose phenotypic selectivity on molecules and approaches to reduce this practical problem for drug discovery.

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Year:  2003        PMID: 12776218     DOI: 10.1038/nrd1110

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  11 in total

1.  Quantitative high-throughput screening: a titration-based approach that efficiently identifies biological activities in large chemical libraries.

Authors:  James Inglese; Douglas S Auld; Ajit Jadhav; Ronald L Johnson; Anton Simeonov; Adam Yasgar; Wei Zheng; Christopher P Austin
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-24       Impact factor: 11.205

Review 2.  In vitro models: research in physiology and pharmacology of the lower urinary tract.

Authors:  Robert B Moreland
Journal:  Br J Pharmacol       Date:  2006-02       Impact factor: 8.739

Review 3.  Allosteric modulators of g protein-coupled receptors: future therapeutics for complex physiological disorders.

Authors:  Liyun Wang; Bronwen Martin; Randall Brenneman; Louis M Luttrell; Stuart Maudsley
Journal:  J Pharmacol Exp Ther       Date:  2009-08-10       Impact factor: 4.030

4.  Pharmacologically distinct phenotypes of α1B -adrenoceptors: variation in binding and functional affinities for antagonists.

Authors:  Hatsumi Yoshiki; Junsuke Uwada; Abu Syed Md Anisuzzaman; Hidenori Umada; Ryoji Hayashi; Mie Kainoh; Takayoshi Masuoka; Matomo Nishio; Ikunobu Muramatsu
Journal:  Br J Pharmacol       Date:  2014-09-05       Impact factor: 8.739

Review 5.  Phenotype pharmacology of lower urinary tract α(1)-adrenoceptors.

Authors:  A Nishimune; H Yoshiki; J Uwada; A S M Anisuzzaman; H Umada; I Muramatsu
Journal:  Br J Pharmacol       Date:  2012-03       Impact factor: 8.739

Review 6.  Structure-based drug screening for G-protein-coupled receptors.

Authors:  Brian K Shoichet; Brian K Kobilka
Journal:  Trends Pharmacol Sci       Date:  2012-04-13       Impact factor: 14.819

7.  The peptidic urotensin-II receptor ligand GSK248451 possesses less intrinsic activity than the low-efficacy partial agonists SB-710411 and urantide in native mammalian tissues and recombinant cell systems.

Authors:  David J Behm; Gerald Stankus; Christopher P A Doe; Robert N Willette; Henry M Sarau; James J Foley; Dulcie B Schmidt; Parvathi Nuthulaganti; James A Fornwald; Robert S Ames; David G Lambert; Girolamo Calo'; Valeria Camarda; Nambi V Aiyar; Stephen A Douglas
Journal:  Br J Pharmacol       Date:  2006-05       Impact factor: 8.739

8.  Structure based virtual screening of anticanerous polyphenolic phytocompounds against G-protein coupled receptor and identification of potent antagonist ligand(s) through molecular docking.

Authors:  Daisy Pitchai; Rajalakshmi Manikkam; Sr Lilly V; Revathi Singaram
Journal:  Bioinformation       Date:  2011-06-06

9.  Re-evaluation of nicotinic acetylcholine receptors in rat brain by a tissue-segment binding assay.

Authors:  Mao-Hsien Wang; Hatsumi Yoshiki; Abu Syed Md Anisuzzaman; Junsuke Uwada; Atsushi Nishimune; Kung-Shing Lee; Takanobu Taniguchi; Ikunobu Muramatsu
Journal:  Front Pharmacol       Date:  2011-10-19       Impact factor: 5.810

Review 10.  GEMMs as preclinical models for testing pancreatic cancer therapies.

Authors:  Aarthi Gopinathan; Jennifer P Morton; Duncan I Jodrell; Owen J Sansom
Journal:  Dis Model Mech       Date:  2015-10-01       Impact factor: 5.758

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