Unknown

Dataset Information

The application of cluster analysis in the intercomparison of loop structures in RNA.


ABSTRACT: We have developed a computational approach for the comparison and classification of RNA loop structures. Hairpin or interior loops identified in atomic resolution RNA structures were intercompared by conformational matching. The root-mean-square deviation (RMSD) values between all pairs of RNA fragments of interest, even if from different molecules, are calculated. Subsequently, cluster analysis is performed on the resulting matrix of RMSD distances using the unweighted pair group method with arithmetic mean (UPGMA). The cluster analysis objectively reveals groups of folds that resemble one another. To demonstrate the utility of the approach, a comprehensive analysis of all the terminal hairpin tetraloops that have been observed in 15 RNA structures that have been determined by X-ray cryst

SUBMITTER: Huang HC 

PROVIDER: S-EPMC1370731 | biostudies-literature | 2005 Apr

REPOSITORIES: biostudies-literature