Literature DB >> 19207021

Integrative genomics and drug development.

Pek Y Lum1, Jonathan M J Derry, Eric E Schadt.   

Abstract

The pharmaceutical industry faces unprecedented pressures based largely on the inability to bring sufficient new medicines to market. The high failure rate of drug candidates in clinical development highlights a need for new approaches to the study of disease mechanisms and drug discovery. We advocate an integrated approach based on the study of the entire organism leveraging the power of detailed phenotyping, high-throughput genomic technologies and mathematical modeling. Key to this paradigm is the realization that the systematic genetic perturbations that exist in populations provide an ideal structure for uncovering the interactions that define molecular networks or states. By linking molecular states to physiological states and in turn understanding how molecular states drive disease processes, the promise of truly rational drug-design with a high probability of success in clinical development can be realized.

Mesh:

Year:  2009        PMID: 19207021     DOI: 10.2217/14622416.10.2.203

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

1.  Drug discovery in a multidimensional world: systems, patterns, and networks.

Authors:  Joel T Dudley; Eric Schadt; Marina Sirota; Atul J Butte; Euan Ashley
Journal:  J Cardiovasc Transl Res       Date:  2010-07-31       Impact factor: 4.132

Review 2.  Molecular networks as sensors and drivers of common human diseases.

Authors:  Eric E Schadt
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

Review 3.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

4.  Integration of Molecular, Cellular and Translational Researches in BioImpacts.

Authors:  Yadollah Omidi
Journal:  Bioimpacts       Date:  2011-06-09

Review 5.  In silico methods for drug repurposing and pharmacology.

Authors:  Rachel A Hodos; Brian A Kidd; Khader Shameer; Ben P Readhead; Joel T Dudley
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-04-15

6.  Discovery and preclinical validation of drug indications using compendia of public gene expression data.

Authors:  Marina Sirota; Joel T Dudley; Jeewon Kim; Annie P Chiang; Alex A Morgan; Alejandro Sweet-Cordero; Julien Sage; Atul J Butte
Journal:  Sci Transl Med       Date:  2011-08-17       Impact factor: 17.956

7.  Drug repositioning framework by incorporating functional information.

Authors:  Zikai Wu; Yong Wang; Luonan Chen
Journal:  IET Syst Biol       Date:  2013-10       Impact factor: 1.615

8.  PROMISCUOUS: a database for network-based drug-repositioning.

Authors:  Joachim von Eichborn; Manuela S Murgueitio; Mathias Dunkel; Soeren Koerner; Philip E Bourne; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

Review 9.  Network representations of immune system complexity.

Authors:  Naeha Subramanian; Parizad Torabi-Parizi; Rachel A Gottschalk; Ronald N Germain; Bhaskar Dutta
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-01-27
  9 in total

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