Abstract
Biomarker identification has been a critical component in drug discovery and development. Biomarkers have been utilized in several areas such as disease diagnosis, pharmacokinetics-pharmacodynamics (PK-PD) modeling, evaluation of efficacy and toxicity to guide both pre-clinical compound selection and clinical study of candidate compounds. Recent advances in genomics and bioinformatics have created a new paradigm in the development of robust gene expression signature biomarkers, particularly for predicting toxicity and cancer drug responses. In this article, we present an overview of current progress in this arena including methodology development and applications in the drug discovery process.
Keywords: Biomarker, genomics, cancer, toxicology
Current Bioinformatics
Title: Development of Genomics-Based Gene Expression Signature Biomarkers in Oncology and Toxicology to Facilitate Drug Discovery and Translational Medicine
Volume: 5 Issue: 2
Author(s): Tao Wei and Shuyu Li
Affiliation:
Keywords: Biomarker, genomics, cancer, toxicology
Abstract: Biomarker identification has been a critical component in drug discovery and development. Biomarkers have been utilized in several areas such as disease diagnosis, pharmacokinetics-pharmacodynamics (PK-PD) modeling, evaluation of efficacy and toxicity to guide both pre-clinical compound selection and clinical study of candidate compounds. Recent advances in genomics and bioinformatics have created a new paradigm in the development of robust gene expression signature biomarkers, particularly for predicting toxicity and cancer drug responses. In this article, we present an overview of current progress in this arena including methodology development and applications in the drug discovery process.
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Cite this article as:
Wei Tao and Li Shuyu, Development of Genomics-Based Gene Expression Signature Biomarkers in Oncology and Toxicology to Facilitate Drug Discovery and Translational Medicine, Current Bioinformatics 2010; 5 (2) . https://dx.doi.org/10.2174/157489310791268423
DOI https://dx.doi.org/10.2174/157489310791268423 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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