期刊
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
卷 59, 期 4, 页码 673-686出版社
WILEY
DOI: 10.1002/prot.20402
关键词
hierarchical clustering; RMSD-stable domains; biomolecular NMR; superimposition
An important open question in the field of N-MR-based biomolecular structure determination is how best to characterize the precision of the resulting ensemble of structures. Typically, the RMSD, as minimized in superimposing the ensemble of structures, is the preferred measure of precision. However, the presence of poorly determined atomic coordinates and multiple RMSD-stable domains-locally well-defined regions that are not aligned in global superimpositions-complicate RMSD calculations. In this paper, we present a method, based on a novel, structurally defined order parameter, for identifying a set of core atoms to use in determining superimpositions for RMSD calculations. In addition we present a method for deciding whether to partition that core atom set into RMSD-stable domains and, if so, how to determine partitioning of the core atom set. We demonstrate our algorithm and its application in calculating statistically sound RMSD values by applying it to a set of NMR-derived structural ensembles, superimposing each RMSD-stable domain (or the entire core atom set, where appropriate) found in each protein structure under consideration. A parameter calculated by our algorithm using a novel, kurtosis-based criterion, the E-value, is a measure of precision of the superimposition that complements the RMSD. In addition, we compare our algorithm with previously described algorithms for determining core atom sets. The methods presented in this paper for biomolecular structure superimposition are quite general, and have application in many areas of structural bioinformatics and structural biology. (c) 2005Wiley-Liss, Inc.
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