Lehigh University professors Stefan Maas and Daniel Lopresti are engaged in a study on RNA editing. Lopresti has devised RNA Editing Dataflow Systems (REDS), a program that identifies the discrepancies that take place when DNA is transcribed into RNA, and then filters out those that are not induced by RNA editing. “We then take the data we obtain from the lab and feed it to our software to improve on our predictions,” Maas says. “The more data we obtain, the more our predictions can be based on machine learning.” Lopresti has created an algorithm designed to simulate RNA folding and correlate folding structures with editing sites. “The algorithm is not perfect, but it does rank all potential editing sites based on predicted folding because of structure,” he says. Maas says that more knowledge about RNA editing could yield insights on the underlying causes for certain diseases and their possible treatments.
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