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.

翻译：理解RNA复杂结构特征与生物功能之间的联系，是进化研究和RNA设计中的一项基本挑战。然而，构建RNA三维结构数据集并做出适当的建模选择仍然耗时且缺乏标准化。在本章中，我们描述了如何利用rnaglib在RNA三维结构数据集上训练基于监督和无监督机器学习的功能预测模型。