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Clustangles: An Open Library for Clustering Angular Data

Authors :
Yun Hao Hua
Karen Sargsyan
Carmay Lim
Source :
Journal of Chemical Information and Modeling. 55:1517-1520
Publication Year :
2015
Publisher :
American Chemical Society (ACS), 2015.

Abstract

Dihedral angles are good descriptors of the numerous conformations visited by large, flexible systems, but their analysis requires directional statistics. A single package including the various multivariate statistical methods for angular data that accounts for the distinct topology of such data does not exist. Here, we present a lightweight standalone, operating-system independent package called Clustangles to fill this gap. Clustangles will be useful in analyzing the ever-increasing number of structures in the Protein Data Bank and clustering the copious conformations from increasingly long molecular dynamics simulations.

Details

ISSN :
1549960X and 15499596
Volume :
55
Database :
OpenAIRE
Journal :
Journal of Chemical Information and Modeling
Accession number :
edsair.doi.dedup.....9dcfaa30af505149259bd05bf8d9087c