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Updated: Jun 12, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
Published on: December 9, 2022
3D-Based RNA Function Prediction Tools in rnaglib
Carlos Oliver1, Vincent Mallet2, Jérôme Waldispühl3
1Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, Germany. oliver@biochem.mpg.de.
Abstract:
Understanding the connection between complex structural features of RNA and biological function is a fundamental challenge in evolutionary studies and in RNA design. However, building datasets of RNA 3D structures and making appropriate modeling choices remain time-consuming and lack standardization. In this chapter, we describe the use of rnaglib, to train supervised and unsupervised machine learning-based function prediction models on datasets of RNA 3D structures.
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