Title
Ognm: Online Computation Of Structural Dynamics Using The Gaussian Network Model
Abstract
An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperative fluctuations accessible under native state conditions, is a first step towards understanding molecular mechanisms relevant to biological function. We present a web-based system, oGNM that enables users to calculate online the shape and dispersion of normal modes of motion for proteins, oligonucleotides and their complexes, or associated biological units, using the Gaussian Network Model (GNM). Computations with the new engine are 5-6 orders of magnitude faster than those using conventional normal mode analyses. Two cases studies illustrate the utility of oGNM. The first shows that the thermal fluctuations predicted for 1250 non-homologous proteins correlate well with X-ray crystallographic data over a broad range [7.3-15 angstrom] of inter-residue interaction cutoff distances and the correlations improve with increasing observation temperatures. The second study, focused on 64 oligonucleotides and oligonucleotide -protein complexes, shows that good agreement with experiments is achieved by representing each nucleotide by three GNM nodes (as opposed to one-node-per-residue in proteins) along with uniform interaction ranges for all components of the complexes. These results open the way to a rapid assessment of the dynamics of DNA/ RNA-containing complexes. The server can be accessed at http://ignm.ccbb.pitt.edu/GNM_Online_Calculation.htm.
Year
DOI
Venue
2006
10.1093/nar/gkl084
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
computer graphics,nucleotides,structural dynamics,protein conformation,motion,gaussian network model,internet,molecular mechanics,algorithms,normal distribution,proteins,normal modes,protein complex,computational biology,oligonucleotides
Statistical physics,Orders of magnitude (numbers),Dispersion (optics),Normal distribution,Biology,Cutoff,Gaussian network model,Normal mode,Genetics,Thermal fluctuations,Computation
Journal
Volume
Issue
ISSN
34
Web Server issue
0305-1048
Citations 
PageRank 
References 
23
2.32
10
Authors
7
Name
Order
Citations
PageRank
Lee-Wei Yang19612.89
A J Rader2232.32
Xiong Liu31079.35
Christopher Jon Jursa4232.66
Shann-Ching Chen51138.51
Hassan A. Karimi635742.93
Ivet Bahar736139.41