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To understand and predict the behavior and function of RNAs, sophisticated tools are required to simulate and analyze their potential for forming structures. This volume 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. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and comprehensive, RNA Folding: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this important and developing field.
List of contents
Estimating RNA Secondary Structure Folding Free Energy Changes with efn2.- VarGibbs Usage in the Optimization of Nearest-Neighbor Parameters and Prediction of Melting Temperature of RNA Duplexes.- RNA Secondary Structure Thermodynamics.- RNA Secondary Structure Modeling following the IPANEMAP Workflow.- How Parameters Influence SHAPE-Directed Predictions.- Classified Dynamic Programming in RNA Structure Analysis.- Classification and Identification of Non-Canonical Base Pairs and Structural Motifs.- Modified Nucleotides and RNA Structure Prediction.- How to do RNA-RNA Interaction Prediction? A Use-Case Driven Handbook using IntaRNA.- LocARNA 2.0: Versatile Simultaneous Alignment and Folding of RNAs.- Evolutionary Structure Conservation and Covariance Scores.- Developing Complex RNA Design Applications in the Infrared Framework.- A Guide to Computational Co-Transcriptional Folding featuring the SRP RNA.- Assessing theQuality of Co-Transcriptional Folding Simulations.- The Multiscale Ernwin/SPQR RNA Structure Prediction Pipeline.
