Search for: [Abstract = "Here, we present a machine learning\-based approach to inspect the dataset of RNA three\-dimensional structures and to create a library of nucleotide conformers. A median neural gas algorithm is applied to cluster nucleotide structures upon their trigonometric description. The clustering procedure is two\-stage\: \(i\) backbone\- and \(ii\) ribose\-driven. We show the resulting library that contains RNA nucleotide representatives over the entire data, and we evaluate its quality by computing normal distribution measures and average RMSD between data points as well as the prototype within each cluster."]

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