Literature DB >> 12119613

Toxicogenomics and drug discovery: will new technologies help us produce better drugs?

Roger Ulrich1, Stephen H Friend.   

Abstract

Acting on reports in the late 1980s that most drug candidates fail in development, pharmaceutical discovery programmes responded by devising ways to increase the number of chemicals in the pipeline. With discovery now driven primarily by chemistry and high-throughput screening, the biological effects and, in particular, the toxicity of new compounds are largely not appreciated until a compound enters development. Arguably, this paradigm has produced more failures rather than delivering more successes--with more chemicals to examine, much less is known about any single agent before costly development studies are initiated. The emerging field of toxicogenomics is enabling us to ask detailed questions about drug effects very early on, thereby fundamentally changing our approach to drug discovery.

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Year:  2002        PMID: 12119613     DOI: 10.1038/nrd710

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


  20 in total

1.  The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.

Authors:  Amanda G Paulovich; Jeffrey R Whiteaker; Andrew N Hoofnagle; Pei Wang
Journal:  Proteomics Clin Appl       Date:  2008-10-01       Impact factor: 3.494

2.  Proteomic analysis of dimethoate-responsive proteins in the oyster (Saccostrea cucullata) gonad.

Authors:  Yan-Wei Guo; Yong Zhang; Xiang Huang; Kun-Shan Gao; Ke-Jian Wang; Cai-Huan Ke; He-Qing Huang
Journal:  Environ Sci Pollut Res Int       Date:  2012-01-12       Impact factor: 4.223

Review 3.  Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process.

Authors:  Md Rifat Hasan; Ahad Amer Alsaiari; Burhan Zain Fakhurji; Mohammad Habibur Rahman Molla; Amer H Asseri; Md Afsar Ahmed Sumon; Moon Nyeo Park; Foysal Ahammad; Bonglee Kim
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

4.  yMGV: a cross-species expression data mining tool.

Authors:  Gaëlle Lelandais; Stéphane Le Crom; Frédéric Devaux; Stéphane Vialette; George M Church; Claude Jacq; Philippe Marc
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Effect of prediagnostic alcohol consumption on survival after breast cancer in young women.

Authors:  Kerryn W Reding; Janet R Daling; David R Doody; Cecilia A O'Brien; Peggy L Porter; Kathleen E Malone
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07-29       Impact factor: 4.254

6.  Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition.

Authors:  Cong Li; Can Yang; Greg Hather; Ray Liu; Hongyu Zhao
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016 May-Jun       Impact factor: 3.710

Review 7.  Recent applications of DNA microarray technology to toxicology and ecotoxicology.

Authors:  Teresa Lettieri
Journal:  Environ Health Perspect       Date:  2006-01       Impact factor: 9.031

8.  Prediction of pharmacological and xenobiotic responses to drugs based on time course gene expression profiles.

Authors:  Tao Huang; Weiren Cui; Lele Hu; Kaiyan Feng; Yi-Xue Li; Yu-Dong Cai
Journal:  PLoS One       Date:  2009-12-02       Impact factor: 3.240

9.  Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.

Authors:  Amin Zollanvari; Mary Jane Cunningham; Ulisses Braga-Neto; Edward R Dougherty
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

10.  Recent progress in toxicogenomics research in South Korea.

Authors:  Tae-Hoon Chung; Jin-Ho Yoo; Jae-Chun Ryu; Yang-Seok Kim
Journal:  BMC Proc       Date:  2009-03-10
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