Novel AI-based approach for more accurate RNA 3D structure prediction

A research team from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore (NUS) has successfully harnessed artificial intelligence (AI) and deep-learning techniques to model atomic-level RNA 3D structures from primary RNA sequences. Called DRfold, this novel AI-based method improves the accuracy of RNA models by more than 70%, compared to traditional approaches.