Literature DB >> 15059828

ProMode: a database of normal mode analyses on protein molecules with a full-atom model.

Hiroshi Wako1, Masaki Kato, Shigeru Endo.   

Abstract

MOTIVATION: Although information from protein dynamics simulation is important to understand principles of architecture of a protein structure and its function, simulations such as molecular dynamics and Monte Carlo are very CPU-intensive. Although the ability of normal mode analysis (NMA) is limited because of the need for a harmonic approximation on which NMA is based, NMA is adequate to carry out routine analyses on many proteins to compute aspects of the collective motions essential to protein dynamics and function. Furthermore, it is hoped that realistic animations of the protein dynamics can be observed easily without expensive software and hardware, and that the dynamic properties for various proteins can be compared with each other.
RESULTS: ProMode, a database collecting NMA results on protein molecules, was constructed. The NMA calculations are performed with a full-atom model, by using dihedral angles as independent variables, faster and more efficiently than the calculations using Cartesian coordinates. In ProMode, an animation of the normal mode vibration is played with a free plug-in, Chime (MDL Information Systems, Inc.). With the full-atom model, the realistic three-dimensional motions at an atomic level are displayed with Chime. The dynamic domains and their mutual screw motions defined from the NMA results are also displayed. Properties for each normal mode vibration and their time averages, e.g. fluctuations of atom positions, fluctuations of dihedral angles and correlations between the atomic motions, are also presented graphically for characterizing the collective motions in more detail. AVAILABILITY: http://promode.socs.waseda.ac.jp

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Year:  2004        PMID: 15059828     DOI: 10.1093/bioinformatics/bth197

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  24 in total

1.  Optimized torsion-angle normal modes reproduce conformational changes more accurately than cartesian modes.

Authors:  Jenelle K Bray; Dahlia R Weiss; Michael Levitt
Journal:  Biophys J       Date:  2011-12-20       Impact factor: 4.033

2.  iGNM: a database of protein functional motions based on Gaussian Network Model.

Authors:  Lee-Wei Yang; Xiong Liu; Christopher J Jursa; Mark Holliman; A J Rader; Hassan A Karimi; Ivet Bahar
Journal:  Bioinformatics       Date:  2005-04-28       Impact factor: 6.937

Review 3.  Coarse-grained normal mode analysis in structural biology.

Authors:  Ivet Bahar; A J Rader
Journal:  Curr Opin Struct Biol       Date:  2005-10       Impact factor: 6.809

Review 4.  Data deposition and annotation at the worldwide protein data bank.

Authors:  Shuchismita Dutta; Kyle Burkhardt; Jasmine Young; Ganesh J Swaminathan; Takanori Matsuura; Kim Henrick; Haruki Nakamura; Helen M Berman
Journal:  Mol Biotechnol       Date:  2008-12-10       Impact factor: 2.695

5.  Towards the prediction of order parameters from molecular dynamics simulations in proteins.

Authors:  Juan R Perilla; Thomas B Woolf
Journal:  J Chem Phys       Date:  2012-04-28       Impact factor: 3.488

Review 6.  Normal mode analysis of biomolecular structures: functional mechanisms of membrane proteins.

Authors:  Ivet Bahar; Timothy R Lezon; Ahmet Bakan; Indira H Shrivastava
Journal:  Chem Rev       Date:  2010-03-10       Impact factor: 60.622

7.  DynOmics: dynamics of structural proteome and beyond.

Authors:  Hongchun Li; Yuan-Yu Chang; Ji Young Lee; Ivet Bahar; Lee-Wei Yang
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

Review 8.  Building Bridges Between Structural and Network-Based Systems Biology.

Authors:  Christos T Chasapis
Journal:  Mol Biotechnol       Date:  2019-03       Impact factor: 2.695

9.  Large-scale evaluation of dynamically important residues in proteins predicted by the perturbation analysis of a coarse-grained elastic model.

Authors:  Wenjun Zheng; Mustafa Tekpinar
Journal:  BMC Struct Biol       Date:  2009-07-10

10.  Coarse-grained models reveal functional dynamics--I. Elastic network models--theories, comparisons and perspectives.

Authors:  Lee-Wei Yang; Choon-Peng Chng
Journal:  Bioinform Biol Insights       Date:  2008-03-04
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