Beyond Genomics and GlaxoSmithKline announce partnership to apply systems biology to metabolic diseases
The new partnership will apply BG's Systems Biology technologies to GSK's ongoing study of disease and drug response in several metabolic disorders. The parties expect that the knowledge generated from the application of these new systems approaches will lead to a more complete understanding of metabolic disease pathways and drug mechanisms of action in animals and humans as well as improved clinical development strategies. Specifically, the companies anticipate that the collaboration will identify new biomarkers of disease and drug response with broad applicability to the drug discovery and development process.
"We are delighted to begin this important partnership with Beyond Genomics." said John Reardon, Senior Vice President of Discovery Research Biology at GSK. "Both parties have a shared vision and enthusiasm for the potential of Systems Biology to transform how new drugs are discovered and developed."
"We believe this agreement will enhance and further validates the value of Beyond Genomics' Systems Biology approach for pharmaceutical research and development," said Muz Mansuri, Executive Chairman of Beyond Genomics. "Since our founding in 2000, Beyond Genomics has been a pioneer in the emerging field of Systems Biology. This alliance with GSK, following the successful completion of our pilot agreement, represents a significant step forward in the evolution of BG as a commercial enterprise and partner to the pharmaceutical industry."
Systems Biology is the science of analyzing complex animal and/or human samples, and then measuring, integrating, comparing, and interpreting the results in an appropriate biologic context to elucidate knowledge about the biological processes - including drug response - under study. When applied to metabolic disorders, Systems Biology has the potential to uncover the molecular mechanisms of these related clinical syndromes, including common mechanisms, leading to better, faster, more cost-effective decisions in the discovery and development of drugs to treat one or more of these common disease states.
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