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Statistical Analysis of RNA Backbone
2006
IEEE/ACM Transactions on Computational Biology & Bioinformatics
Local conformation is an important determinant of RNA catalysis and binding. The analysis of RNA conformation is particularly difficult due to the large number of degrees of freedom (torsion angles) per residue. Proteins, by comparison, have many few degrees of freedom per residue. In this work we use and extend classical tools from statistics and signal processing to search for clusters in RNA conformational space. Results are reported both for scalar analysis, where each torsion angle is
doi:10.1109/tcbb.2006.13
pmid:17048391
pmcid:PMC2811324
fatcat:mzczarmtk5hmrfk76gbt334yey