3D-based RNA function prediction tools in rnaglib

• URL: http://arxiv.org/abs/2402.09330v2
• Date: Fri, 3 May 2024 09:01:17 GMT
• Title: 3D-based RNA function prediction tools in rnaglib
• Authors: Carlos Oliver, Vincent Mallet, Jérôme Waldispühl,
• Abstract summary: Building datasets of RNA 3D structures and making appropriate modeling choices remains time-consuming and lacks standardization. We describe the use of rnaglib, to train supervised and unsupervised machine learning-based function prediction models on datasets of RNA 3D structures.
• Score: 2.048226951354646
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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