Literature DB >> 15882137

Systems biology in drug safety and metabolism: integration of microarray, real-time PCR and enzyme approaches.

Lilian G Yengi1.   

Abstract

The last decade has seen a rapid expansion in the field of functional genomics, due mainly to the global gene expression profiling capabilities provided by techniques, such as microarray analysis. Application of these technologies in fields as diverse as plant research, to public health and environmental sciences, forensic science and drug research, shows the versatility of these tools and the promise they hold for revolutionizing research in the life sciences. In drug discovery, attempts have been made to use functional genomics in target identification and validation, lead selection and optimization, and in preclinical studies to predict clinical outcome. These studies have provided a plethora of data and undoubtedly expanded our understanding of genetic alterations in diseased and non-diseased states, but the benefits that these technologies hold have not yet been fully realized. This review discusses how a comprehensive approach to gene regulation studies, a 'systems biology' approach, is being applied in a drug development setting to address mechanism-based questions and issues raised by regulatory authorities.

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Year:  2005        PMID: 15882137     DOI: 10.1517/14622416.6.2.185

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


  4 in total

1.  Translating pharmacogenomics discoveries into clinical practice: the role of curated databases.

Authors:  Prakash M Nadkarni; Mathieu Wiepert
Journal:  Pharmacogenomics       Date:  2005-07       Impact factor: 2.533

Review 2.  The evolving role of drug metabolism in drug discovery and development.

Authors:  Lilian G Yengi; Louis Leung; John Kao
Journal:  Pharm Res       Date:  2007-03-01       Impact factor: 4.580

Review 3.  Microarray technology in obstetrics and gynecology: a guide for clinicians.

Authors:  Kenneth Ward
Journal:  Am J Obstet Gynecol       Date:  2006-04-17       Impact factor: 8.661

4.  aRrayLasso: a network-based approach to microarray interconversion.

Authors:  Adam S Brown; Chirag J Patel
Journal:  Bioinformatics       Date:  2015-08-17       Impact factor: 6.937

  4 in total

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