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Folding helical proteins in explicit solvent using dihedral-biased tempering

Identifieur interne : 000400 ( Pmc/Corpus ); précédent : 000399; suivant : 000401

Folding helical proteins in explicit solvent using dihedral-biased tempering

Auteurs : Cheng Zhang ; Jianpeng Ma

Source :

RBID : PMC:3361456

Abstract

Using a single-trajectory-based tempering method with a high-temperature dihedral bias, we repeatedly folded four helical proteins [α3D (PDB ID: 2A3D, 73 residues), α3W (1LQ7, 67 residues), Fap1-NRα (2KUB, 81 residues) and S-836 (2JUA, 102 residues)] and some of the mutants in explicit solvent within several microseconds. The lowest root-mean-square deviations of backbone atoms from the experimentally determined structures were 1.9, 1.4, 1.0, and 2.1 Å, respectively. Cluster analyses of folding trajectories showed the native conformation usually occupied the most populated cluster. The simulation protocol can be applied to large-scale simulations of other helical proteins on commonly accessible computing platforms.


Url:
DOI: 10.1073/pnas.1112143109
PubMed: 22573819
PubMed Central: 3361456

Links to Exploration step

PMC:3361456

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<nlm:aff id="aff2">Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, One Baylor Plaza, BCM-125, Houston, TX 77030</nlm:aff>
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<p>Using a single-trajectory-based tempering method with a high-temperature dihedral bias, we repeatedly folded four helical proteins [
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W (1LQ7, 67 residues), Fap1-NR
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(2KUB, 81 residues) and S-836 (2JUA, 102 residues)] and some of the mutants in explicit solvent within several microseconds. The lowest root-mean-square deviations of backbone atoms from the experimentally determined structures were 1.9, 1.4, 1.0, and 2.1 Å, respectively. Cluster analyses of folding trajectories showed the native conformation usually occupied the most populated cluster. The simulation protocol can be applied to large-scale simulations of other helical proteins on commonly accessible computing platforms.</p>
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Applied Physics Program and Department of Bioengineering, Rice University, Houston, TX 77005; and</aff>
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Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, One Baylor Plaza, BCM-125, Houston, TX 77030</aff>
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<sup>1</sup>
To whom correspondence should be addressed. E-mail:
<email>jpma@bcm.tmc.edu</email>
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<fn fn-type="edited-by">
<p>Edited by Alan R Fersht, Medical Research Council Laboratory of Molecular Biology, Cambridge University, Cambridge, United Kingdom, and approved March 30, 2012 (received for review July 25, 2011)</p>
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<fn fn-type="participating-researchers">
<p>Author contributions: C.Z. and J.M. designed research; C.Z. and J.M. performed research; C.Z. and J.M. analyzed data; and C.Z. and J.M. wrote the paper.</p>
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<abstract>
<p>Using a single-trajectory-based tempering method with a high-temperature dihedral bias, we repeatedly folded four helical proteins [
<italic>α</italic>
<sub>3</sub>
D (PDB ID: 2A3D, 73 residues),
<italic>α</italic>
<sub>3</sub>
W (1LQ7, 67 residues), Fap1-NR
<sub>
<italic>α</italic>
</sub>
(2KUB, 81 residues) and S-836 (2JUA, 102 residues)] and some of the mutants in explicit solvent within several microseconds. The lowest root-mean-square deviations of backbone atoms from the experimentally determined structures were 1.9, 1.4, 1.0, and 2.1 Å, respectively. Cluster analyses of folding trajectories showed the native conformation usually occupied the most populated cluster. The simulation protocol can be applied to large-scale simulations of other helical proteins on commonly accessible computing platforms.</p>
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<kwd-group>
<kwd>enhanced sampling</kwd>
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