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Upon infection with Mycobacterium tuberculosis bacilli (labeled in red), macrophages (nuclei stained blue) accumulate lipid droplets (green). Courtesy of Emma Rey-Jurado/Public Health Research Institute.
A new methodology developed by researchers at Rice and Rutgers universities could help scientists understand how and why a biochemical network doesn't always perform as expected. To test the approach, they analyzed the stress response of bacteria that cause tuberculosis and predicted novel interactions.
The results are described in a PLOS Computational Biology paper published today.
"Over the last several decades, bioscientists have generated a vast amount of information on biochemical networks, a collection of reactions that occur inside living cells," says principal investigator Oleg Igoshin, a Rice associate professor of bioengineering. Read more...