3-D RNA modeling opens scientific doors

In a paper published today in the journal Nature Methods, a team from the University of North Carolina at Chapel Hill demonstrates a simple, cost-effective technique for three-dimensional RNA structure prediction that will help scientists understand the structures, and ultimately the functions, of the RNA molecules that dictate almost every aspect of human cell behavior. When cell behavior goes wrong, diseases – including cancer and metabolic disorders – can be the result.

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