Design of RNAs: comparing programs for inverse RNA folding.
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ABSTRACT: Computational programs for predicting RNA sequences with desired folding properties have been extensively developed and expanded in the past several years. Given a secondary structure, these programs aim to predict sequences that fold into a target minimum free energy secondary structure, while considering various constraints. This procedure is called inverse RNA folding. Inverse RNA folding has been traditionally used to design optimized RNAs with favorable properties, an application that is expected to grow considerably in the future in light of advances in the expanding new fields of synthetic biology and RNA nanostructures. Moreover, it was recently demonstrated that inverse RNA folding can successfully be used as a valuable preprocessing step in computational detection of novel noncod
SUBMITTER: Churkin A
PROVIDER: S-EPMC6018860 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
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