Literature DB >> 15718163

Target-based drug discovery: is something wrong?

Frank Sams-Dodd1.   

Abstract

For the past decade the pharmaceutical industry has experienced a steady decline in productivity and a striking observation is that the decline coincided with the introduction of target-based drug discovery. The target-based approach can very effectively develop novel treatments for a validated target, but the process of target validation is complex and associated with a high degree of uncertainty. The purpose of this paper is to analyse these aspects in detail to determine if weaknesses in this part of the drug discovery path might explain why this paradigm has not resulted in increased productivity over the traditional in vivo approach, considering its superiority in screening capacity and its ability to define rational drug discovery programs.

Mesh:

Year:  2005        PMID: 15718163     DOI: 10.1016/S1359-6446(04)03316-1

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  106 in total

1.  Endothelial Cell Vascular Smooth Muscle Cell Co-Culture Assay For High Throughput Screening Assays For Discovery of Anti-Angiogenesis Agents and Other Therapeutic Molecules.

Authors:  George A Truskey
Journal:  Int J High Throughput Screen       Date:  2010-10-01

2.  Hit clustering can improve virtual fragment screening: CDK2 and PARP1 case studies.

Authors:  Alexey A Zeifman; Victor S Stroylov; Fedor N Novikov; Oleg V Stroganov; Alexandra L Zakharenko; Svetlana N Khodyreva; Olga I Lavrik; Ghermes G Chilov
Journal:  J Mol Model       Date:  2011-11-09       Impact factor: 1.810

3.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

4.  Cytomics, the human cytome project and systems biology: top-down resolution of the molecular biocomplexity of organisms by single cell analysis.

Authors:  G Valet
Journal:  Cell Prolif       Date:  2005-08       Impact factor: 6.831

Review 5.  High-content drug screening with engineered musculoskeletal tissues.

Authors:  Herman Vandenburgh
Journal:  Tissue Eng Part B Rev       Date:  2010-02       Impact factor: 6.389

Review 6.  Adding more content to screening: reactivation of FOXO as a therapeutic strategy.

Authors:  Fabian Zanella; Amancio Carnero
Journal:  Clin Transl Oncol       Date:  2009-10       Impact factor: 3.405

Review 7.  Screening the cellular microenvironment: a role for microfluidics.

Authors:  Jay W Warrick; William L Murphy; David J Beebe
Journal:  IEEE Rev Biomed Eng       Date:  2008-11-05

8.  Automated image-based phenotypic analysis in zebrafish embryos.

Authors:  Andreas Vogt; Andrzej Cholewinski; Xiaoqiang Shen; Scott G Nelson; John S Lazo; Michael Tsang; Neil A Hukriede
Journal:  Dev Dyn       Date:  2009-03       Impact factor: 3.780

9.  Cytoprotective effects of adenosine and inosine in an in vitro model of acute tubular necrosis.

Authors:  Katalin Módis; Domokos Gero; Nóra Nagy; Petra Szoleczky; Zoltán Dóri Tóth; Csaba Szabó
Journal:  Br J Pharmacol       Date:  2009-11       Impact factor: 8.739

Review 10.  High content analysis in amyotrophic lateral sclerosis.

Authors:  Federica Rinaldi; Dario Motti; Laura Ferraiuolo; Brian K Kaspar
Journal:  Mol Cell Neurosci       Date:  2016-12-11       Impact factor: 4.314

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