Evidence map›Paper›PMID 23609042›Full record

ArticleJournal of biomolecular NMR2013

Solution NMR refinement of a metal ion bound protein using metal ion inclusive restrained molecular dynamics methods.

Dhruva K Chakravorty, Bing Wang, Chul Won Lee, Alfredo J Guerra, David P Giedroc, Kenneth M Merz

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular NMR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. NaPhysical chemistry chemical physics : PCCP · 2019
    Article
  5. CHARMM-GUI 10 years for biomolecular modeling and simulation.Journal of computational chemistry · 2017
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Training data composition affects performance of protein structure analysis algorithms.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Dhruva K ChakravortyDepartment of Chemistry and the Quantum Theory Project, University of Florida, 2238 New Physics Building, P.O. Box 118435, Gainesville, FL 32611-8435, USA.
Bing Wang
Chul Won Lee
Alfredo J Guerra
David P Giedroc
Kenneth M Merz
Indiana University Bloomington · USUniversity of Florida · US

Funding

ZINC COORDINATION AND REGULATION OF ZINC METALLOPROTEINSR01GM042569 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GIEDROC, DAVID P. · 1996 to 2015
$4.9M
Mettalloenzyme Structure/FunctionR01GM044974 · NIGMS · UNIVERSITY OF FLORIDA · PI MERZ, KENNETH M. · 1997 to 2010
$2.0M
ZINC DOMAIN STRUCTURE AND FUNCTION IN T4 GENE 32 PROTEINR29GM042569 · NIGMS · TEXAS AGRILIFE RESEARCH · PI GIEDROC, DAVID P. · 1991 to 1995
–
THEORETICAL STUDY--METALLOENZYME STRUCTURE AND FUNCTIONR29GM044974 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MERZ, KENNETH M · 1991 to 1995
–
NIGMS NIH HHS GM042569NIGMS NIH HHS GM044974NIGMS NIH HHS R01 GM042569NIGMS NIH HHS R01 GM044974
6 · The paper itself

Abstract

Correctly calculating the structure of metal coordination sites in a protein during the process of nuclear magnetic resonance (NMR) structure determination and refinement continues to be a challenging task. In this study, we present an accurate and convenient means by which to include metal ions in the NMR structure determination process using molecular dynamics (MD) simulations constrained by NMR-derived data to obtain a realistic and physically viable description of the metal binding site(s). This method provides the framework to accurately portray the metal ions and its binding residues in a pseudo-bond or dummy-cation like approach, and is validated by quantum mechanical/molecular mechanical (QM/MM) MD calculations constrained by NMR-derived data. To illustrate this approach, we refine the zinc coordination complex structure of the zinc sensing transcriptional repressor protein Staphylococcus aureus CzrA, generating over 130 ns of MD and QM/MM MD NMR-data compliant sampling. In addition to refining the first coordination shell structure of the Zn(II) ion, this protocol benefits from being performed in a periodically replicated solvation environment including long-range electrostatics. We determine that unrestrained (not based on NMR data) MD simulations correlated to the NMR data in a time-averaged ensemble. The accurate solution structure ensemble of the metal-bound protein accurately describes the role of conformational sampling in allosteric regulation of DNA binding by zinc and serves to validate our previous unrestrained MD simulations of CzrA. This methodology has potentially broad applicability in the structure determination of metal ion bound proteins, protein folding and metal template protein-design studies.

Indexed as

Molecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularAllosteric RegulationBacterial ProteinsBinding SitesDNA-Binding ProteinsHydrogen BondingIonsMetalloproteinsMetalsMolecular ConformationMolecular Docking SimulationSolutionsZincBacterial ProteinsCzrA protein, Staphylococcus aureusDNA-Binding ProteinsIonsMetalloproteinsMetalsSolutionsZinc

Identifiers

PMID23609042
PMCPMC3773525
OpenAlexW1972122806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.