RNA has a large number of vital functions in the cell and sequencing of genomes is providing a huge database of RNA sequences.  Experimental results can be combined with thermodynamics to help decode this database into secondary structures that identify targets for therapeutics. NMR can rapidly provide constraints for algorithms that predict secondary structure, including pseudoknots.  Secondary structures provide foundations for predicting 3D structures.  Force fields that approximate interatomic interactions facilitate prediction of 3D structures.  Benchmarks will be presented that test the accuracy of force fields.  Applications of the pipeline from genome sequence to RNA structure for influenza RNA will be described.

Predicting RNA structure and stability

243rd National Meeting (2012)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.