Nonparametric clustering for studying RNA conformations.

ABSTRACT: The local conformation of RNA molecules is an important factor in determining their catalytic and binding properties. The analysis of such conformations is particularly difficult due to the large number of degrees of freedom, such as the measured torsion angles per residue and the interatomic distances among interacting residues. In this work, we use a nearest-neighbor search method based on the statistical mechanical Potts model to find clusters in the RNA conformational space. The proposed technique is mostly automatic and may be applied to problems, where there is no prior knowledge on the structure of the data space in contrast to many other clustering techniques. Results are reported for both single residue conformations, where the parameter set of the data space includes four to seve

SUBMITTER: Le Faucheur X 

PROVIDER: S-EPMC3679554 | biostudies-literature | 2011 Nov-Dec

REPOSITORIES: biostudies-literature