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Sequence Design for RNA-RNA Interactions.
Waldl, Maria; Yao, Hua-Ting; Hofacker, Ivo L.
Affiliation
  • Waldl M; Department of Theoretical Chemistry, University of Vienna, Vienna, Austria.
  • Yao HT; Research Group Bioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, Vienna, Austria.
  • Hofacker IL; Institute of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
Methods Mol Biol ; 2847: 1-16, 2025.
Article in En | MEDLINE | ID: mdl-39312133
ABSTRACT
The design of RNA sequences with desired structural properties presents a challenging computational problem with promising applications in biotechnology and biomedicine. Most regulatory RNAs function by forming RNA-RNA interactions, e.g., in order to regulate mRNA expression. It is therefore natural to consider problems where a sequence is designed to form a desired RNA-RNA interaction and switch between structures upon binding. This contribution demonstrates the use of the Infrared framework to design interacting sequences. Specifically, we consider the regulation of the rpoS mRNA by the sRNA DsrA and design artificial 5 ' UTRs that place a downstream protein coding gene under control of DsrA. The design process is explained step by step in a Jupyter notebook, accompanied by Python code. The text discusses setting up design constraints for sampling sequences in Infrared, computing quality measures, constructing a suitable cost function, as well as the optimization procedure. We show that not only thermodynamic but also kinetic folding features can be relevant. Kinetics of interaction formation can be estimated efficiently using the RRIkinDP tool, and the chapter explains how to include kinetic folding features from RRIkinDP directly in the cost function. The protocol implemented in our Jupyter notebook can easily be extended to consider additional requirements or adapted to novel design scenarios.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nucleic Acid Conformation Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2025 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nucleic Acid Conformation Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2025 Document type: Article Affiliation country: Country of publication: