CopomuS-Ranking Compensatory Mutations to Guide RNA-RNA Interaction Verification Experiments.

ABSTRACT: In silico RNA-RNA interaction prediction is widely applied to identify putative interaction partners and to assess interaction details in base pair resolution. To verify specific interactions, in vitro evidence can be obtained via compensatory mutation experiments. Unfortunately, the selection of compensatory mutations is non-trivial and typically based on subjective ad hoc decisions. To support the decision process, we introduce our COmPensatOry MUtation Selector CopomuS. CopomuS evaluates the effects of mutations on RNA-RNA interaction formation using a set of objective criteria, and outputs a reliable ranking of compensatory mutation candidates. For RNA-RNA interaction assessment, the state-of-the-art IntaRNA prediction tool is applied. We investigate characteristics of successfully ver

SUBMITTER: Raden M 

PROVIDER: S-EPMC7311995 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature