Literature DB >> 2339115

Refinement of protein dynamic structure: normal mode refinement.

A Kidera1, N Go.   

Abstract

An x-ray crystallographic refinement method, referred to as the normal mode refinement, is proposed. The Debye-Waller factor is expanded in terms of the effective normal modes whose amplitudes and eigenvectors are experimentally determined by the crystallographic refinement. In contrast to the conventional method, the atomic motions are treated generally as anisotropic and concerted. This method is assessed by using the simulated x-ray data given by a Monte Carlo simulation of human lysozyme. In this article, we refine the dynamic structure by fixing the average static structure to exact coordinates. It is found that the normal mode refinement, using a smaller number of variables, gives a better R factor and more information on the dynamics (anisotropy and collectivity in the motion).

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Year:  1990        PMID: 2339115      PMCID: PMC53974          DOI: 10.1073/pnas.87.10.3718

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  12 in total

1.  Structural basis of hierarchical multiple substates of a protein. V: Nonlocal deformations.

Authors:  T Noguti; N Go
Journal:  Proteins       Date:  1989

2.  Structural basis of hierarchical multiple substates of a protein. II: Monte Carlo simulation of native thermal fluctuations and energy minimization.

Authors:  T Noguti; N Go
Journal:  Proteins       Date:  1989

3.  Structural basis of hierarchical multiple substates of a protein. IV: Rearrangements in atom packing and local deformations.

Authors:  T Noguti; N Go
Journal:  Proteins       Date:  1989

4.  Effect of anisotropy and anharmonicity on protein crystallographic refinement. An evaluation by molecular dynamics.

Authors:  J Kuriyan; G A Petsko; R M Levy; M Karplus
Journal:  J Mol Biol       Date:  1986-07-20       Impact factor: 5.469

5.  Stereochemically restrained refinement of macromolecular structures.

Authors:  W A Hendrickson
Journal:  Methods Enzymol       Date:  1985       Impact factor: 1.600

6.  Efficient Monte Carlo method for simulation of fluctuating conformations of native proteins.

Authors:  T Noguti; N Go
Journal:  Biopolymers       Date:  1985-03       Impact factor: 2.505

7.  Quasi-harmonic method for studying very low frequency modes in proteins.

Authors:  R M Levy; A R Srinivasan; W K Olson; J A McCammon
Journal:  Biopolymers       Date:  1984-06       Impact factor: 2.505

8.  X-ray studies of water in crystals of lysozyme.

Authors:  C C Blake; W C Pulford; P J Artymiuk
Journal:  J Mol Biol       Date:  1983-07-05       Impact factor: 5.469

9.  Harmonic dynamics of proteins: normal modes and fluctuations in bovine pancreatic trypsin inhibitor.

Authors:  B Brooks; M Karplus
Journal:  Proc Natl Acad Sci U S A       Date:  1983-11       Impact factor: 11.205

10.  Dynamics of a small globular protein in terms of low-frequency vibrational modes.

Authors:  N Go; T Noguti; T Nishikawa
Journal:  Proc Natl Acad Sci U S A       Date:  1983-06       Impact factor: 11.205

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  33 in total

1.  MoViES: molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acids.

Authors:  Z W Cao; Y Xue; L Y Han; B Xie; H Zhou; C J Zheng; H H Lin; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  On the use of low-frequency normal modes to enforce collective movements in refining macromolecular structural models.

Authors:  Marc Delarue; Philippe Dumas
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

3.  Dynamics-stability relationships in apo- and holomyoglobin: a combined neutron scattering and molecular dynamics simulations study.

Authors:  Andreas Maximilian Stadler; Eric Pellegrini; Mark Johnson; Jörg Fitter; Giuseppe Zaccai
Journal:  Biophys J       Date:  2012-01-18       Impact factor: 4.033

4.  Structure of the full-length Shaker potassium channel Kv1.2 by normal-mode-based X-ray crystallographic refinement.

Authors:  Xiaorui Chen; Qinghua Wang; Fengyun Ni; Jianpeng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-03       Impact factor: 11.205

5.  Relation between the conformational heterogeneity and reaction cycle of Ras: molecular simulation of Ras.

Authors:  Chigusa Kobayashi; Shinji Saito
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

6.  Fluctuations and correlations in crystalline protein dynamics: a simulation analysis of staphylococcal nuclease.

Authors:  Lars Meinhold; Jeremy C Smith
Journal:  Biophys J       Date:  2005-01-28       Impact factor: 4.033

7.  Structure and dynamics of UDP-glucose pyrophosphorylase from Arabidopsis thaliana with bound UDP-glucose and UTP.

Authors:  Jason G McCoy; Eduard Bitto; Craig A Bingman; Gary E Wesenberg; Ryan M Bannen; Dmitry A Kondrashov; George N Phillips
Journal:  J Mol Biol       Date:  2006-11-21       Impact factor: 5.469

8.  Protein structural variation in computational models and crystallographic data.

Authors:  Dmitry A Kondrashov; Adam W Van Wynsberghe; Ryan M Bannen; Qiang Cui; George N Phillips
Journal:  Structure       Date:  2007-02       Impact factor: 5.006

9.  Normal-mode flexible fitting of high-resolution structure of biological molecules toward one-dimensional low-resolution data.

Authors:  Christian Gorba; Osamu Miyashita; Florence Tama
Journal:  Biophys J       Date:  2007-11-09       Impact factor: 4.033

10.  vGNM: a better model for understanding the dynamics of proteins in crystals.

Authors:  Guang Song; Robert L Jernigan
Journal:  J Mol Biol       Date:  2007-03-28       Impact factor: 5.469

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