Abstract
Building cellular models of disease based on the approach of Cellular Systems Biology (CSB)™ has the potential to improve the process of creating drugs as part of the continuum from early drug discovery through drug development and clinical trials and diagnostics. This paper focuses on the application of CSB to early drug discovery. We discuss the integration of protein-protein interaction biosensors with other multiplexed, functional biomarkers as an example in using CSB to optimize the identification of quality lead series compounds.
Keywords: Cellular systems biology, cancer, cellular models of disease, fluorescent protein biosensors, protein-protein interactions, p53, tumor suppressor, high content screening
Combinatorial Chemistry & High Throughput Screening
Title: Cellular Systems Biology Profiling Applied to Cellular Models of Disease
Volume: 12 Issue: 9
Author(s): Kenneth A. Giuliano, Daniel R. Premkumar, Christopher J. Strock, Patricia Johnston and D. Lansing Taylor
Affiliation:
Keywords: Cellular systems biology, cancer, cellular models of disease, fluorescent protein biosensors, protein-protein interactions, p53, tumor suppressor, high content screening
Abstract: Building cellular models of disease based on the approach of Cellular Systems Biology (CSB)™ has the potential to improve the process of creating drugs as part of the continuum from early drug discovery through drug development and clinical trials and diagnostics. This paper focuses on the application of CSB to early drug discovery. We discuss the integration of protein-protein interaction biosensors with other multiplexed, functional biomarkers as an example in using CSB to optimize the identification of quality lead series compounds.
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Cite this article as:
Giuliano A. Kenneth, Premkumar R. Daniel, Strock J. Christopher, Johnston Patricia and Taylor Lansing D., Cellular Systems Biology Profiling Applied to Cellular Models of Disease, Combinatorial Chemistry & High Throughput Screening 2009; 12 (9) . https://dx.doi.org/10.2174/138620709789383286
DOI https://dx.doi.org/10.2174/138620709789383286 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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