Literature DB >> 15789121

How molecular profiling could revolutionize drug discovery.

Roland B Stoughton1, Stephen H Friend.   

Abstract

Information from genomic, proteomic and metabolomic measurements has already benefited target discovery and validation, assessment of efficacy and toxicity of compounds, identification of disease subgroups and the prediction of responses of individual patients. Greater benefits can be expected from the application of these technologies on a significantly larger scale; by simultaneously collecting diverse measurements from the same subjects or cell cultures; by exploiting the steadily improving quantitative accuracy of the technologies; and by interpreting the emerging data in the context of underlying biological models of increasing sophistication. The benefits of applying molecular profiling to drug discovery and development will include much lower failure rates at all stages of the drug development pipeline, faster progression from discovery through to clinical trials and more successful therapies for patient subgroups. Upheavals in existing organizational structures in the current 'conveyor belt' models of drug discovery might be required to take full advantage of these methods.

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Year:  2005        PMID: 15789121     DOI: 10.1038/nrd1696

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


  15 in total

1.  Measuring tissue-based biomarkers by immunochromatography coupled with reverse-phase lysate microarray.

Authors:  Martin J Romeo; John Wunderlich; Lien Ngo; Steven A Rosenberg; Seth M Steinberg; David M Berman
Journal:  Clin Cancer Res       Date:  2006-04-15       Impact factor: 12.531

2.  Exploring the biochemical mechanisms of cytotoxic gold compounds: a proteomic study.

Authors:  Francesca Magherini; Alessandra Modesti; Luca Bini; Michele Puglia; Ida Landini; Stefania Nobili; Enrico Mini; Maria Agostina Cinellu; Chiara Gabbiani; Luigi Messori
Journal:  J Biol Inorg Chem       Date:  2010-01-29       Impact factor: 3.358

Review 3.  Asparagine synthetase chemotherapy.

Authors:  Nigel G J Richards; Michael S Kilberg
Journal:  Annu Rev Biochem       Date:  2006       Impact factor: 23.643

4.  Translational medicine: can it really facilitate the transition of research "from bench to bedside"?

Authors:  Martin Wehling
Journal:  Eur J Clin Pharmacol       Date:  2005-12-13       Impact factor: 2.953

Review 5.  Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds.

Authors:  Yan Feng; Timothy J Mitchison; Andreas Bender; Daniel W Young; John A Tallarico
Journal:  Nat Rev Drug Discov       Date:  2009-07       Impact factor: 84.694

6.  Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learning.

Authors:  Chia-Chin Wu; Shahab Asgharzadeh; Timothy J Triche; David Z D'Argenio
Journal:  Bioinformatics       Date:  2010-02-04       Impact factor: 6.937

7.  Regulatory potential for concerted modulation of Nrf2- and Nfkb1-mediated gene expression in inflammation and carcinogenesis.

Authors:  S Nair; S T Doh; J Y Chan; A-N Kong; L Cai
Journal:  Br J Cancer       Date:  2008-12-02       Impact factor: 7.640

8.  Genomic-based high throughput screening identifies small molecules that differentially inhibit the antiviral and immunomodulatory effects of IFN-alpha.

Authors:  Bo Chen; Qin Zong; Ricardo Cibotti; Chad Morris; Juana Castaneda; Brian Naiman; Derong Liu; Anna Glodek; Gary P Sims; Ronald Herbst; Stephen K Horrigan; Peter A Kiener; Dan Soppet; Anthony J Coyle; Laurent Audoly
Journal:  Mol Med       Date:  2008 Jul-Aug       Impact factor: 6.354

9.  Intracellular degradation of microspheres based on cross-linked dextran hydrogels or amphiphilic block copolymers: a comparative raman microscopy study.

Authors:  Henk-Jan van Manen; Aart A van Apeldoorn; Ruud Verrijk; Clemens A van Blitterswijk; Cees Otto
Journal:  Int J Nanomedicine       Date:  2007

Review 10.  ADDME--Avoiding Drug Development Mistakes Early: central nervous system drug discovery perspective.

Authors:  Katya Tsaioun; Michel Bottlaender; Aloise Mabondzo
Journal:  BMC Neurol       Date:  2009-06-12       Impact factor: 2.474

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