RNA folding : Methods and protocols

Discusses the various levels of prediction and algorithmic approaches to RNA folding. The chapters in this book cover topics such as energy parameters of the nearest-neighbor (NN) energy model; classified dynamic programming to address exponential growth of candidate structures that an RNA molecule may fold into; sequence evolution and conserved structures among multiple RNA sequences; the latest framework capable of handling both positive and negative RNA sequence design objectives; and kinetic folding approaches that look at the dynamic nature of RNA folding