Sharat Patil

Abstract The function of an RNA molecule depends on its structure and a strong structure-to-function relationship is already achieved on the secondary structure level of RNA. Therefore, the secondary structure based design of RNAs is one of the major challenges in computational biology. A common approach to RNA design is inverse RNA folding. However, existing RNA design methods cannot invert all folding algorithms because they cannot represent all types of base interactions.

Abstract The design of RNAs that fulfill desired functions is one of the major challenges in computational biology. The function of an RNA molecule depends on its structure and a strong structure-to-function relationship is already achieved on the secondary structure level of RNA. Therefore, computational RNA design is often interpreted as the inversion of a folding algorithm: Given a target secondary structure, find an RNA sequence that folds into the desired structure.