Virtual Physiological Rat

The Virtual Physiological Rat (VPR) Project[1][2][3] is an international collaboration aimed at simulating the integrated cardiovascular function of the rat and supported by the National Institute of General Medical Sciences as a National Center for Systems Biology. The project is motivated by the fact that, although there exist both a depth of knowledge of basic cardiovascular physiology and a host of physiological and genomic data from animal models of disease, there is a lack of understanding of how multiple genes and environmental factors interact to determine cardiovascular phenotype. The Virtual Physiological Rat Project is focused on developing computational tools to capture the underlying systems physiology as well as the pathophysiological perturbations associated with disease. These tools are being developed and validated based on experimental characterization of physiological function across a number of organ systems in rat strains engineered to show relevant disease phenotypes. Computer simulation is used to integrate disparate data (genomic, anatomic, physiological, etc.) to explain and predict function,[4] and to translate the findings from animal models to yield new information on specific interrelated complex diseases in humans, including hypertension, kidney disease, heart failure, and metabolic syndrome.[5]

References

  1. Official website: www.virtualrat.org
  2. Mark Johnson; Kathleen Gallagher (August 10, 2011). "Virtual rat project earns $13 million grant for Medical College". Journal Sentinel. Retrieved June 4, 2016.
  3. "The Virtual Rat: Exploration of Complex Diseases Will Impact Drug Discovery, Development". Archived from the original on March 23, 2016. Retrieved June 4, 2016.
  4. "Virtual rats to help researchers study disease". ScienceDaily. August 14, 2011. Retrieved June 4, 2016.
  5. Kehinde E.O (2013). "They See a Rat, We Seek a Cure for Diseases: The Current Status of Animal Experimentation in Medical Practice". Medical Principles and Practice. 22 (suppl 1): 52–61. doi:10.1159/000355504. PMC 5586818. PMID 24217224.
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