BLACKSBURG, Va., March 8, 2013 – An international team of researchers, including an investigator with the Virginia Bioinformatics Institute at Virginia Tech, has produced what may be the most comprehensive computer model of human metabolism yet developed.
The discovery, detailed in the March issue of Nature Biotechnology, advances understanding of human metabolism in health and disease. Called Recon 2, the model builds and improves upon earlier-generation metabolic reconstruction systems and may be useful for finding biomarkers of metabolic diseases, such as glycogen storage disorder, as well as identifying cancer drug targets and predicting unwanted drug side effects.
A variety of models and approaches have co-existed with the common goal of reconstructing human metabolism, but this one connects the dots, adding metabolic information from a variety of sources, including content from the DrugBank database, which details the reactions caused by experimental and FDA-approved drugs to individual enzymes and reactions typical of the metabolic system.
“This is important because we are finally mapping the links between the human genome and metabolism,” said Pedro Mendes, a computational systems biologist and leader of the Biochemical Networks Modeling Group at the Virginia Bioinformatics Institute. “The results provide a framework that will lead to a better understanding of how an individual’s lifestyle, such as diet, or a particular drug they may require, is likely to affect them according to their specific genetic characteristics. The model takes us an important step closer to personalized medicine, where treatments will be tailored according to the patient’s genetic and metabolic information.”
With this new map, researchers will be able to deepen their understanding of the role human metabolism plays in health and disease.
Please see further links related to this story -- CNN, Wired, Time.
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science combining information technology, biology, and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology, and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental, and wider communities.
Written by John Pastor.
Tiffany L Trent
March 08, 2013