May 2008
Volume 3, Issue 5
Translational Drug Discovery
     
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A review of 2006


  Top Reviews
Translational research in the pharmaceutical industry: from bench to bedside

O’Connell D and Roblin D.
Drug Discovery Today

Current developments in basic discovery sciences have not been mirrored by the same level of progress in understanding the clinical basis of disease and ultimately the development of novel effective therapies. This can be improved by applying translational research throughout the late-stage discovery...

Translational research in the pharmaceutical industry: from theory to reality

Sultana SR, Roblin D and O’Connell D.
Drug Discovery Today

Translational research is the collaboration between scientists and clinicians to identify novel targets and develop biomarkers that increase confidence in rationale and therefore help select the mechanisms that are most likely to lead to breakthrough therapies. Here, we describe examples of the utility of linked preclinical and clinical biomarkers...

a The role of mechanism-based pharmacokinetic–pharmacodynamic (PK–PD) modeling in translational research of biologics
a
Agoram BM, Martin SW and van der Graaf PH.
Drug Discovery Today
a

Lack of predictability of clinical efficacy and safety is an important problem facing pharmaceutical research today. Translational PK–PD has the ability to integrate data generated from diverse test platforms during discovery and development in a mechanistic framework...


  Abstracts of Key Research Articles

Translation research: from accurate diagnosis to appropriate treatment
Webb CP and Pass HI.
J. Transl Med. 2004; 2: 35

Personalized medicine: a perspective on the patient, disease and causal diagnostics
Liebman MN.
Personalized Medicine 2007; 4: 171–174

Biomarkers for disease modification trials – the Innovative Medicines Initiative and AddNeuroMed
Lovestone S, Francis P and Strandgaard K.
J. Nutr. Health Aging 2007; 11: 359–361

Bridging the divide: the need for translational informatics
Gaughan A.
Pharmacogenomics 2006; 7: 117–122

Biomedical informatics: development of a comprehensive data warehouse for clinical and genomic breast cancer research
Hu H, Brzeski H, Hutchins J, Ramaraj M, Qu L, Xiong R, Kalathil S, Kato R, Tenkillaya S, Carney J, Redd R, Arkalgudvenkata S, Shahzad K, Scott R, Cheng H, Meadow S, McMichael J, Sheu SL, Rosendale D, Kvecher L, Ahern S, Yang S, Zhang Y, Jordan R, Somiari SB, Hooke J, Shriver CD, Somiari RI and Liebman MN.
Pharmacogenomics 2004; 5: 933–941

Advancing translational research with the Semantic Web
Ruttenberg A, Clark T, Bug W, Samwald M, Bodenreider O, Chen H, Doherty D, Forsberg K, Gao Y, Kashyap V, Kinoshita J, Luciano J, Marshall MS, Ogbuji C, Rees J, Stephens S, Wong GT, Wu E, Zaccagnini D, Hongsermeier T, Neumann E, Herman I and Cheung K-H.
BMC Bioinformatics 2007; 8(Suppl 3): S2 doi:10.1186/1471-2105-8-S3-S2

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Wellcome Trust Case Control Consortium
Nature 2007; 447: 661–678

A genome-wide association study of global gene expression
Dixon AL, Liang L, Moffatt MF, Chen W, Heath S, Wong KC, Taylor J, Burnett E, Gut I, Farrall M, Lathrop GM, Abecasis GR and Cookson WO.
Nat. Genet. 2007; 39: 1202–1207

Microarray data normalization and transformation
Quackenbush J.
Nat. Genet. 2002; 32: 496–501

Commercial biobanks and genetic research: ethical and legal issues
Anderlik M.
Am J Pharmacogenomics 2003; 3: 203–215


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