Abstract
The structure of RNA molecules and their complexes are crucial for understanding biology at the molecular level. Resolving these structures holds the key to understanding their manifold structure-mediated functions ranging from regulating gene expression to catalyzing biochemical processes. Predicting RNA secondary structure is a prerequisite and a key step to accurately model their three dimensional structure. Although dedicated modelling software are making fast and significant progresses, predicting an accurate secondary structure from the sequence remains a challenge. Their performance can be significantly improved by the incorporation of experimental RNA structure probing data. Many different chemical and enzymatic probes have been developed; however, only one set of quantitative data can be incorporated as constraints for computer-assisted modelling. IPANEMAP is a recent workflow based on RNAfold that can take into account several quantitative or qualitative data sets to model RNA secondary structure. This chapter details the methods for popular chemical probing (DMS, CMCT, SHAPE-CE, and SHAPE-Map) and the subsequent analysis and structure prediction using IPANEMAP.
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Acknowledgments
Research in B.S laboratory is funded by the CNRS, the Université Paris Cité, a grant from “la Fondation pour la Recherche Médicale” (FRM DBI20141423337), ANR INSANNE (ANR 21-CE45-0034-03), ANR PARNASSUS (ANR 19-CE45-0023-02), and ANR DECRYPTED (ANR 19-CE30-0021-03), awarded to BS and YP laboratories. AS and DA were recipient of a PhD fellowship from FRM (FRM DBI20141423337); GdB was recipient of a fellowship from the French Ministry for Education and Research (MESR); PH was recipient of a fellowship from ANR PRE-RIBO60S (ANR 20-CE12-0026-02).
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Allouche, D. et al. (2024). RNA Secondary Structure Modeling Following the IPANEMAP Workflow. In: Lorenz, R. (eds) RNA Folding. Methods in Molecular Biology, vol 2726. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3519-3_4
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DOI: https://doi.org/10.1007/978-1-0716-3519-3_4
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