Literature DB >> 17596846

The helix-coil transition revisited.

Yantao Chen1, Yaoqi Zhou, Jiandong Ding.   

Abstract

In this article, we perform a dynamic Monte Carlo simulation study of the helix-coil transition by using a bond-fluctuation lattice model. The results of the simulations are compared with those predicted by the Zimm-Bragg statistical thermodynamic theory with propagation and nucleation parameters determined from simulation data. The Zimm-Bragg theory provides a satisfactory description of the helix-coil transition of a homopolypeptide chain of 32 residues (N = 32). For such a medium-length chain, however, the analytical equation based on a widely-used large-N approximation to the Zimm-Bragg theory is not suitable to predict the average length of helical blocks at low temperatures when helicity is high. We propose an analytical large-eigenvalue (lambda) approximation. The new equation yields a significantly improved agreement on the average helix-block length with the original Zimm-Bragg theory for both medium and long chain lengths in the entire temperature range. Nevertheless, even the original Zimm-Bragg theory does not provide an accurate description of helix-coil transition for longer chains. We assume that the single-residue nucleation of helix formation as suggested in the original Zimm-Bragg model might be responsible for this deviation. A mechanism of nucleation by a short helical block is proposed by us and provides a significantly improved agreement with our simulation data. 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17596846     DOI: 10.1002/prot.21492

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


  5 in total

1.  Exposing the Nucleation Site in α-Helix Folding: A Joint Experimental and Simulation Study.

Authors:  Arusha Acharyya; Yunhui Ge; Haifan Wu; William F DeGrado; Vincent A Voelz; Feng Gai
Journal:  J Phys Chem B       Date:  2019-02-14       Impact factor: 2.991

2.  Unfolding of α-helical 20-residue poly-glutamic acid analyzed by multiple runs of canonical molecular dynamics simulations.

Authors:  Naoki Ogasawara; Kota Kasahara; Ryosuke Iwai; Takuya Takahashi
Journal:  PeerJ       Date:  2018-05-15       Impact factor: 2.984

3.  Microscopic nucleation and propagation rates of an alanine-based α-helix.

Authors:  Chun-Wei Lin; Feng Gai
Journal:  Phys Chem Chem Phys       Date:  2017-02-15       Impact factor: 3.676

Review 4.  Statistical mechanical treatments of protein amyloid formation.

Authors:  John S Schreck; Jian-Min Yuan
Journal:  Int J Mol Sci       Date:  2013-08-23       Impact factor: 5.923

5.  Construction of an implicit membrane environment for the lattice Monte Carlo simulation of transmembrane protein.

Authors:  Yantao Chen; Mingliang Wang; Qianling Zhang; Jianhong Liu
Journal:  Biophys Chem       Date:  2009-12-28       Impact factor: 2.352

  5 in total

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