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Clustangles: An Open Library for Clustering Angular Data
- 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.
- Subjects :
- Protein Conformation
Computer science
General Chemical Engineering
Directional statistics
Molecular Dynamics Simulation
Library and Information Sciences
Dihedral angle
computer.software_genre
Software
Cluster Analysis
Databases, Protein
Cluster analysis
Topology (chemistry)
Principal Component Analysis
business.industry
Proteins
General Chemistry
computer.file_format
Protein Data Bank
Computer Science Applications
Principal component analysis
Data mining
Multivariate statistical
business
computer
Algorithms
Subjects
Details
- ISSN :
- 1549960X and 15499596
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Journal of Chemical Information and Modeling
- Accession number :
- edsair.doi.dedup.....9dcfaa30af505149259bd05bf8d9087c