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Systems biology approach for new target and biomarker identification. | LitMetric

Systems biology approach for new target and biomarker identification.

Curr Top Microbiol Immunol

Informatics and Analysis, Merck Research Laboratory, West Point, PA 19486, USA.

Published: April 2013

AI Article Synopsis

  • - The pharmaceutical industry is investing heavily in developing new drugs, but this spending isn’t resulting in a higher approval rate from the FDA.
  • - Advances in the post-genomic era are allowing researchers to gather extensive genetic and transcriptomic data, leading to a better understanding of diseases and the effectiveness of treatments.
  • - This article discusses various methodologies, like high-throughput DNA genotyping and genome-wide expression profiling, being used to identify new drug targets and improve patient selection for therapy.

Article Abstract

The pharmaceutical industry is spending increasingly large amounts of money on the discovery and development of novel medicines, but this investment is not adequately paying off in an increased rate of newly approved drugs by the FDA. The post-genomic era has provided a wealth of novel approaches for generating large, high-dimensional genetic and transcriptomic data sets from large cohorts of preclinical species as well as normal and diseased individuals. This systems biology approach to understanding disease-related biology is revolutionizing our understanding of the cellular pathways and gene networks underlying the onset of disease, and the mechanisms of pharmacological treatments that ameliorate disease phenotypes. In this article, we review a number of approaches being used by pharmaceutical and biotechnology companies, e.g., high-throughput DNA genotyping, sequencing, and genome-wide gene expression profiling, to enable drug discovery and development through the identification of new drug targets and biomarkers of disease progression, drug pharmacodynamics, and predictive markers for selecting the patients most likely to respond to therapy.

Download full-text PDF

Source
http://dx.doi.org/10.1007/82_2012_252DOI Listing

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