Evidence map›Paper›PMID 24397429›Full record

ArticleJournal of chemical information and modeling2014

Protein structure refinement of CASP target proteins using GNEIMO torsional dynamics method.

Adrien B Larsen, Jeffrey R Wagner, Abhinandan Jain, Nagarajan Vaidehi

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Methods for the Refinement of Protein Structure 3D Models.International journal of molecular sciences · 2019
    Review
  2. Experimental accuracy in protein structure refinement via molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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  10. Computational protein structure refinement: Almost there, yet still so far to go.Wiley interdisciplinary reviews. Computational molecular science
    Article
  11. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Adrien B LarsenDivision of Immunology, Beckman Research Institute of the City of Hope , 1500, E. Duarte Road, Duarte, California 91010, United States.
Jeffrey R Wagner
Abhinandan Jain
Nagarajan Vaidehi

Funding

GNEIMO: Generalized Internal Coordinate Molecular Dynamics MethodsR01GM082896 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2008 to 2011
$1.2M
NIGMS NIH HHS R01 GM082896NIGMS NIH HHS R01-GM082896
6 · The paper itself

Abstract

A longstanding challenge in using computational methods for protein structure prediction is the refinement of low-resolution structural models derived from comparative modeling methods into highly accurate atomistic models useful for detailed structural studies. Previously, we have developed and demonstrated the utility of the internal coordinate molecular dynamics (MD) technique, generalized Newton-Euler inverse mass operator (GNEIMO), for refinement of small proteins. Using GNEIMO, the high-frequency degrees of freedom are frozen and the protein is modeled as a collection of rigid clusters connected by torsional hinges. This physical model allows larger integration time steps and focuses the conformational search in the low frequency torsional degrees of freedom. Here, we have applied GNEIMO with temperature replica exchange to refine low-resolution protein models of 30 proteins taken from the continuous assessment of structure prediction (CASP) competition. We have shown that GNEIMO torsional MD method leads to refinement of up to 1.3 Å in the root-mean-square deviation in coordinates for 30 CASP target proteins without using any experimental data as restraints in performing the GNEIMO simulations. This is in contrast with the unconstrained all-atom Cartesian MD method performed under the same conditions, where refinement requires the use of restraints during the simulations.

Indexed as

Molecular Dynamics SimulationProtein ConformationProteinsSequence Homology, Amino AcidThermodynamicsProteins

Identifiers

PMID24397429
PMCPMC3985798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.