The arabidopsis thaliana, or the mouse-ear cress, is often studied by biologists because of it’s small genome. Northeastern University’s Albert-László Barabási, a bioinformatics pioneer has come up with a mathematical algorithm to identify communities in complex networks, including major biological networks and large-scale social networks. Barabási recently used his algorithm on the plant, according to the article
“…combing through about 6,200 highly reliable interactions between about 2,700 proteins, and came up with about two dozen communities of interconnected proteins that share in the same biological function. The findings give researchers a peak inside evolution’s machinery within networks of plant proteins. “The communities were not random and each had a dominant function that did not emerge by chance,” Barabási said in a news release.”
How does that help with cancer? The protein communities Barabási identified allow the scientific community a peek into how to treat human diseases like cancer.
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