Literature DB >> 1896424

Projection of Monte Carlo and molecular dynamics trajectories onto the normal mode axes: human lysozyme.

T Horiuchi1, N Go.   

Abstract

A method is presented to describe the internal motions of proteins obtained from molecular dynamics or Monte Carlo simulations as motions of normal mode variables. This method calculates normal mode variables by projecting trajectories of these simulations onto the axes of normal modes and expresses the trajectories as a linear combination of normal mode variables. This method is applied to the result of the molecular dynamics and the Monte Carlo simulations of human lysozyme. The motion of the lowest frequency mode extracted from the simulations represents the hinge bending motion very faithfully. Analysis of the obtained motions of the normal mode variables provides an explanation of the anharmonic aspects of protein dynamics as due first to the anharmonicity of the actual potential energy surface near a minimum and second to trans-minimum conformational changes.

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Year:  1991        PMID: 1896424     DOI: 10.1002/prot.340100204

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  18 in total

1.  Nonlinear elasticity, proteinquakes, and the energy landscapes of functional transitions in proteins.

Authors:  O Miyashita; J N Onuchic; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-17       Impact factor: 11.205

2.  Coupled motions between pore and voltage-sensor domains: a model for Shaker B, a voltage-gated potassium channel.

Authors:  Werner Treptow; Bernard Maigret; Christophe Chipot; Mounir Tarek
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

3.  Normal modes for predicting protein motions: a comprehensive database assessment and associated Web tool.

Authors:  Vadim Alexandrov; Ursula Lehnert; Nathaniel Echols; Duncan Milburn; Donald Engelman; Mark Gerstein
Journal:  Protein Sci       Date:  2005-03       Impact factor: 6.725

4.  Bending elasticity of anti-parallel beta-sheets.

Authors:  Seungho Choe; Sean X Sun
Journal:  Biophys J       Date:  2006-11-17       Impact factor: 4.033

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

6.  Bend-twist-stretch model for coarse elastic network simulation of biomolecular motion.

Authors:  Joseph N Stember; Willy Wriggers
Journal:  J Chem Phys       Date:  2009-08-21       Impact factor: 3.488

7.  Correspondences between low-energy modes in enzymes: dynamics-based alignment of enzymatic functional families.

Authors:  Andrea Zen; Vincenzo Carnevale; Arthur M Lesk; Cristian Micheletti
Journal:  Protein Sci       Date:  2008-03-27       Impact factor: 6.725

8.  Harmonic and anharmonic aspects in the dynamics of BPTI: a normal mode analysis and principal component analysis.

Authors:  S Hayward; A Kitao; N Go
Journal:  Protein Sci       Date:  1994-06       Impact factor: 6.725

Review 9.  Pre-existing soft modes of motion uniquely defined by native contact topology facilitate ligand binding to proteins.

Authors:  Lidio Meireles; Mert Gur; Ahmet Bakan; Ivet Bahar
Journal:  Protein Sci       Date:  2011-09-09       Impact factor: 6.725

10.  Molecular dynamics: deciphering the data.

Authors:  P Dauber-Osguthorpe; C M Maunder; D J Osguthorpe
Journal:  J Comput Aided Mol Des       Date:  1996-06       Impact factor: 3.686

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