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arXiv · 2402.09330

3D-based RNA function prediction tools in rnaglib

Carlos Oliver·Vincent Mallet·Jérôme Waldispühl
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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 remains time-consuming and lacks 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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Carlos Oliver, Vincent Mallet, Jérôme Waldispühl. 2024-02-14. 3D-based RNA function prediction tools in rnaglib. https://arxiv.org/abs/2402.09330

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