Literature DB >> 17979396

Application of principal component analysis in protein unfolding: an all-atom molecular dynamics simulation study.

Atanu Das1, Chaitali Mukhopadhyay.   

Abstract

We have performed molecular dynamics (MD) simulation of the thermal denaturation of one protein and one peptide-ubiquitin and melittin. To identify the correlation in dynamics among various secondary structural fragments and also the individual contribution of different residues towards thermal unfolding, principal component analysis method was applied in order to give a new insight to protein dynamics by analyzing the contribution of coefficients of principal components. The cross-correlation matrix obtained from MD simulation trajectory provided important information regarding the anisotropy of backbone dynamics that leads to unfolding. Unfolding of ubiquitin was found to be a three-state process, while that of melittin, though smaller and mostly helical, is more complicated.

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Year:  2007        PMID: 17979396     DOI: 10.1063/1.2796165

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  6 in total

1.  The folding transition-state ensemble of a four-helix bundle protein: helix propensity as a determinant and macromolecular crowding as a probe.

Authors:  Harianto Tjong; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

2.  Long-lived states to monitor protein unfolding by proton NMR.

Authors:  Aurélien Bornet; Puneet Ahuja; Riddhiman Sarkar; Laetitia Fernandes; Sonia Hadji; Shirley Y Lee; Aydin Haririnia; David Fushman; Geoffrey Bodenhausen; Paul R Vasos
Journal:  Chemphyschem       Date:  2011-08-31       Impact factor: 3.102

3.  Atomic-level description of ubiquitin folding.

Authors:  Stefano Piana; Kresten Lindorff-Larsen; David E Shaw
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-15       Impact factor: 11.205

4.  Replica exchange molecular dynamics simulation of structure variation from α/4β-fold to 3α-fold protein.

Authors:  Raudah Lazim; Ye Mei; Dawei Zhang
Journal:  J Mol Model       Date:  2011-06-14       Impact factor: 1.810

Review 5.  From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.

Authors:  Hanna Baltrukevich; Sabina Podlewska
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

6.  Molecular insight into Aspergillus oryzae β-mannanase interacting with mannotriose revealed by molecular dynamic simulation study.

Authors:  Uttam Kumar Jana; Gagandeep Singh; Hemant Soni; Brett Pletschke; Naveen Kango
Journal:  PLoS One       Date:  2022-09-16       Impact factor: 3.752

  6 in total

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