Literature DB >> 11287673

Conformational change of proteins arising from normal mode calculations.

F Tama1, Y H Sanejouand.   

Abstract

A normal mode analysis of 20 proteins in 'open' or 'closed' forms was performed using simple potential and protein models. The quality of the results was found to depend upon the form of the protein studied, normal modes obtained with the open form of a given protein comparing better with the conformational change than those obtained with the closed form. Moreover, when the motion of the protein is a highly collective one, then, in all cases considered, there is a single low-frequency normal mode whose direction compares well with the conformational change. When it is not, in most cases there is still a single low-frequency normal mode giving a good description of the pattern of the atomic displacements, as they are observed experimentally during the conformational change. Hence a lot of information on the nature of the conformational change of a protein is often found in a single low-frequency normal mode of its open form. Since this information can be obtained through the normal mode analysis of a model as simple as that used in the present study, it is likely that the property captured by such an analysis is for the most part a property of the shape of the protein itself. One of the points that has to be clarified now is whether or not amino acid sequences have been selected in order to allow proteins to follow a single normal mode direction, as least at the very beginning of their conformational change.

Mesh:

Year:  2001        PMID: 11287673     DOI: 10.1093/protein/14.1.1

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  311 in total

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Authors:  Bertil Halle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-29       Impact factor: 11.205

2.  A coarse-grained normal mode approach for macromolecules: an efficient implementation and application to Ca(2+)-ATPase.

Authors:  Guohui Li; Qiang Cui
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

3.  Analysis and elimination of a bias in targeted molecular dynamics simulations of conformational transitions: application to calmodulin.

Authors:  Victor Ovchinnikov; Martin Karplus
Journal:  J Phys Chem B       Date:  2012-03-28       Impact factor: 2.991

4.  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

5.  Domain movements in human fatty acid synthase by quantized elastic deformational model.

Authors:  Dengming Ming; Yifei Kong; Salih J Wakil; Jacob Brink; Jianpeng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

6.  How to describe protein motion without amino acid sequence and atomic coordinates.

Authors:  Dengming Ming; Yifei Kong; Maxime A Lambert; Zhong Huang; Jianpeng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-25       Impact factor: 11.205

7.  Analysis of functional motions in Brownian molecular machines with an efficient block normal mode approach: myosin-II and Ca2+ -ATPase.

Authors:  Guohui Li; Qiang Cui
Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

8.  Simulation of F-actin filaments of several microns.

Authors:  Dengming Ming; Yifei Kong; Yinghao Wu; Jianpeng Ma
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

9.  Dynamic reorganization of the functionally active ribosome explored by normal mode analysis and cryo-electron microscopy.

Authors:  Florence Tama; Mikel Valle; Joachim Frank; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-23       Impact factor: 11.205

Review 10.  A review of mathematical representations of biomolecular data.

Authors:  Duc Duy Nguyen; Zixuan Cang; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-02-26       Impact factor: 3.676

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