January 19, Wednesday
12:00 – 13:30
Computational Predictions of Structurally Rearranging Mutations in RNAs.
Graduate seminar
Lecturer : Alexander Churkin
Affiliation : CS, BGU
Location : 202/37
Host : Graduate Seminar
RNA mutational analysis at the secondary structure level can be useful to a wide range of biological applications. It can be used to predict an optimal site for performing a nucleotide mutation at the single molecular level, as well as to analyze basic phenomena at the systems level. In the past several years, the program RNAmute that is structure-based and relies on RNA secondary structure prediction has been developed for assisting in RNA mutational analysis. It has been extended from single-point mutations to treat multiple-point mutations efficiently by initially calculating all suboptimal solutions, after which only the mutations that stabilize the suboptimal solutions and destabilize the optimal one are considered as candidates for being deleterious.