Literature DB >> 23456820

A mass weighted chemical elastic network model elucidates closed form domain motions in proteins.

Min Hyeok Kim1, Sangjae Seo, Jay Il Jeong, Bum Joon Kim, Wing Kam Liu, Byeong Soo Lim, Jae Boong Choi, Moon Ki Kim.   

Abstract

An elastic network model (ENM), usually Cα coarse-grained one, has been widely used to study protein dynamics as an alternative to classical molecular dynamics simulation. This simple approach dramatically saves the computational cost, but sometimes fails to describe a feasible conformational change due to unrealistically excessive spring connections. To overcome this limitation, we propose a mass-weighted chemical elastic network model (MWCENM) in which the total mass of each residue is assumed to be concentrated on the representative alpha carbon atom and various stiffness values are precisely assigned according to the types of chemical interactions. We test MWCENM on several well-known proteins of which both closed and open conformations are available as well as three α-helix rich proteins. Their normal mode analysis reveals that MWCENM not only generates more plausible conformational changes, especially for closed forms of proteins, but also preserves protein secondary structures thus distinguishing MWCENM from traditional ENMs. In addition, MWCENM also reduces computational burden by using a more sparse stiffness matrix.
Copyright © 2013 The Protein Society.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23456820      PMCID: PMC3649262          DOI: 10.1002/pro.2244

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  41 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Large Amplitude Elastic Motions in Proteins from a Single-Parameter, Atomic Analysis.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-08-26       Impact factor: 9.161

3.  Simplified normal mode analysis of conformational transitions in DNA-dependent polymerases: the elastic network model.

Authors:  M Delarue; Y-H Sanejouand
Journal:  J Mol Biol       Date:  2002-07-26       Impact factor: 5.469

4.  Spontaneous formation of twisted Aβ(16-22) fibrils in large-scale molecular-dynamics simulations.

Authors:  Mookyung Cheon; Iksoo Chang; Carol K Hall
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

5.  DNA nanotube formation based on normal mode analysis.

Authors:  PengFei Qian; Sangjae Seo; Junghoon Kim; Seungjae Kim; Byeong Soo Lim; Wing Kam Liu; Bum Joon Kim; Thomas Henry LaBean; Sung Ha Park; Moon Ki Kim
Journal:  Nanotechnology       Date:  2012-02-24       Impact factor: 3.874

6.  Evaluation of extensional and torsional stiffness of single actin filaments by molecular dynamics analysis.

Authors:  Shinji Matsushita; Taiji Adachi; Yasuhiro Inoue; Masaki Hojo; Masahiro Sokabe
Journal:  J Biomech       Date:  2010-09-09       Impact factor: 2.712

7.  An elastic network model of HK97 capsid maturation.

Authors:  Moon K Kim; Robert L Jernigan; Gregory S Chirikjian
Journal:  J Struct Biol       Date:  2003-08       Impact factor: 2.867

8.  Hinge-bending motion in citrate synthase arising from normal mode calculations.

Authors:  O Marques; Y H Sanejouand
Journal:  Proteins       Date:  1995-12

9.  Satisfying hydrogen bonding potential in proteins.

Authors:  I K McDonald; J M Thornton
Journal:  J Mol Biol       Date:  1994-05-20       Impact factor: 5.469

10.  KOSMOS: a universal morph server for nucleic acids, proteins and their complexes.

Authors:  Sangjae Seo; Moon Ki Kim
Journal:  Nucleic Acids Res       Date:  2012-06-04       Impact factor: 16.971

View more
  4 in total

1.  Bridging between NMA and Elastic Network Models: Preserving All-Atom Accuracy in Coarse-Grained Models.

Authors:  Hyuntae Na; Robert L Jernigan; Guang Song
Journal:  PLoS Comput Biol       Date:  2015-10-16       Impact factor: 4.475

2.  Computational Simulation of the Activation Cycle of Gα Subunit in the G Protein Cycle Using an Elastic Network Model.

Authors:  Min Hyeok Kim; Young Jin Kim; Hee Ryung Kim; Tae-Joon Jeon; Jae Boong Choi; Ka Young Chung; Moon Ki Kim
Journal:  PLoS One       Date:  2016-08-02       Impact factor: 3.240

3.  Fabrication and Characterization of Finite-Size DNA 2D Ring and 3D Buckyball Structures.

Authors:  Soojin Jo; Seungjae Kim; Byung Ho Lee; Anshula Tandon; Byunghoon Kim; Sung Ha Park; Moon Ki Kim
Journal:  Int J Mol Sci       Date:  2018-06-27       Impact factor: 5.923

4.  Elastic network model of learned maintained contacts to predict protein motion.

Authors:  Ines Putz; Oliver Brock
Journal:  PLoS One       Date:  2017-08-30       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.