Literature DB >> 15766543

Maturation dynamics of bacteriophage HK97 capsid.

A J Rader1, Daniel H Vlad, Ivet Bahar.   

Abstract

Maturation of the bacteriophage HK97 capsid requires a large conformational change of the virus capsid. Experimental studies have identified several intermediates along this maturation pathway. To gain insights into the molecular mechanisms of capsid maturation, we examined the fluctuation dynamics of the procapsid and mature capsid using a residue-level computational approach. The most cooperative motions of the procapsid are found to be consistent with the observed change in configuration that takes place during maturation. A few dominant modes of motion are sufficient to describe the anisotropic expansion that accompanies maturation. Based upon these modes, maturation is proposed to occur via an overall expansion and reconfiguration of the capsid initiated by puckering of the pentamers, followed by flattening and crosslinking of the hexameric subunits, and finally crosslinking of the pentameric subunits. The highly mobile E loops are stabilized by anchoring to highly stable residues belonging to neighboring subunits.

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Year:  2005        PMID: 15766543     DOI: 10.1016/j.str.2004.12.015

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  36 in total

1.  Mechanics of bacteriophage maturation.

Authors:  Wouter H Roos; Ilya Gertsman; Eric R May; Charles L Brooks; John E Johnson; Gijs J L Wuite
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

2.  Exploring the symmetry and mechanism of virus capsid maturation via an ensemble of pathways.

Authors:  Eric R May; Jun Feng; Charles L Brooks
Journal:  Biophys J       Date:  2012-02-07       Impact factor: 4.033

3.  Multiscale Gaussian network model (mGNM) and multiscale anisotropic network model (mANM).

Authors:  Kelin Xia; Kristopher Opron; Guo-Wei Wei
Journal:  J Chem Phys       Date:  2015-11-28       Impact factor: 3.488

4.  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

5.  Rigid-cluster models of conformational transitions in macromolecular machines and assemblies.

Authors:  Moon K Kim; Robert L Jernigan; Gregory S Chirikjian
Journal:  Biophys J       Date:  2005-04-15       Impact factor: 4.033

Review 6.  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

7.  Low-frequency normal modes that describe allosteric transitions in biological nanomachines are robust to sequence variations.

Authors:  Wenjun Zheng; Bernard R Brooks; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

8.  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

9.  Influence of oligomerization on the dynamics of G-protein coupled receptors as assessed by normal mode analysis.

Authors:  Masha Y Niv; Marta Filizola
Journal:  Proteins       Date:  2008-05-01

10.  Common mechanism of pore opening shared by five different potassium channels.

Authors:  Indira H Shrivastava; Ivet Bahar
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

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