Algorithms for Exploring the RNA Mutation Landscape

Jerome Waldispuhl

The broad range of functions supported by RNAs is achieved through specific structures which have (presumably) been optimized through evolution. Through a efficient exploration of the mutation landscape, we apply statistical mechanics techniques to design a novel computational framework, RNAmutants, for estimating the evolutionary pressure that has been applied on a sequence.

We have successfully applied RNAmutants to investigate deleterious mutations(mutations that radically modify secondary structure) in the Hepatitis C virus cis-acting replication element and to evaluate the evolutionary pressureapplied on different regions of the HIV trans-activation response element.

We hope that there will be long-term potential applications of RNAmutants in de novo RNA design and drug design against RNA viruses.

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