Literature DB >> 28573346

A critical assessment of finite element modeling approach for protein dynamics.

Giseok Yun1, Jaehoon Kim1, Do-Nyun Kim2,3.   

Abstract

Finite element (FE) modeling approach has emerged as an efficient way of calculating the dynamic properties of supramolecular protein structures and their complexes. Its efficiency mainly stems from the fact that the complexity of three-dimensional shape of a molecular surface dominates the computational cost rather than the molecular size or the number of atoms. However, no critical evaluation of the method has been made yet particularly for its sensitivity to the parameters used in model construction. Here, we make a close investigation on the effect of FE model parameters by analyzing 135 representative protein structures whose normal modes calculated using all-atom normal mode analysis are publicly accessible online. Results demonstrate that it is more beneficial to use a contour surface of electron densities as the molecular surface, in general, rather than to employ a solvent excluded surface, and that the solution accuracy is almost insensitive to the model parameters unless we avoid extreme values leading to an inaccurate depiction of the characteristic shapes.

Entities:  

Keywords:  Coarse-grained model; Finite element analysis; Molecular surface; Normal mode analysis; Protein dynamics

Mesh:

Substances:

Year:  2017        PMID: 28573346     DOI: 10.1007/s10822-017-0027-4

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  26 in total

1.  Anisotropy of fluctuation dynamics of proteins with an elastic network model.

Authors:  A R Atilgan; S R Durell; R L Jernigan; M C Demirel; O Keskin; I Bahar
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

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

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Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

4.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

5.  Normal mode based flexible fitting of high-resolution structure into low-resolution experimental data from cryo-EM.

Authors:  Florence Tama; Osamu Miyashita; Charles L Brooks
Journal:  J Struct Biol       Date:  2004-09       Impact factor: 2.867

6.  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

7.  The subspace iteration method in protein normal mode analysis.

Authors:  Reza Sharifi Sedeh; Mark Bathe; Klaus-Jürgen Bathe
Journal:  J Comput Chem       Date:  2010-01-15       Impact factor: 3.376

8.  The performance of fine-grained and coarse-grained elastic network models and its dependence on various factors.

Authors:  Hyuntae Na; Guang Song
Journal:  Proteins       Date:  2015-05-23

9.  Bridging between normal mode analysis and elastic network models.

Authors:  Hyuntae Na; Guang Song
Journal:  Proteins       Date:  2014-04-21

10.  Nonlinear finite-element analysis of nanoindentation of viral capsids.

Authors:  Melissa M Gibbons; William S Klug
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-03-01
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