Title
Anisotropic network model: systematic evaluation and a new web interface.
Abstract
The Anisotropic Network Model (ANM) is a simple yet powerful model for normal mode analysis of proteins. Despite its broad use for exploring biomolecular collective motions, ANM has not been systematically evaluated to date. A lack of a convenient interface has been an additional obstacle for easy usage.ANM has been evaluated on a large set of proteins to establish the optimal model parameters that achieve the highest correlation with experimental data and its limits of accuracy and applicability. Residue fluctuations in globular proteins are shown to be more accurately predicted than those in nonglobular proteins, and core residues are more accurately described than solvent-exposed ones. Significant improvement in agreement with experiments is observed with increase in the resolution of the examined structure. A new server for ANM calculations is presented, which offers flexible options for controlling model parameters and output formats, interactive animation of collective modes and advanced graphical features.ANM server (http://www.ccbb.pitt.edu/anm)
Year
DOI
Venue
2006
10.1093/bioinformatics/btl448
Bioinformatics
Keywords
Field
DocType
anisotropic network model,collective mode,additional obstacle,anm calculation,optimal model parameter,systematic evaluation,biomolecular collective motion,new web interface,anm server,model parameter,powerful model,new server,normal mode analysis,web interface,network model
Data mining,Simulation,Computer science,Algorithm,Anisotropic Network Model,Normal mode,Interactive animation,User interface,Web site,Web server
Journal
Volume
Issue
ISSN
22
21
1367-4811
Citations 
PageRank 
References 
34
3.99
11
Authors
3
Name
Order
Citations
PageRank
Eran Eyal111711.44
Lee-Wei Yang29612.89
Ivet Bahar336139.41