Evidence map›Paper›PMID 25099809›Full record

ArticleBiophysical journal2014

Contribution of fluorophore dynamics and solvation to resonant energy transfer in protein-DNA complexes: a molecular-dynamics study.

Massa J Shoura, R J K Udayana Ranatunga, Sarah A Harris, Steven O Nielsen, Stephen D Levene

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

5 authors.

Massa J ShouraDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas; Department of Molecular and Cell Biology, University of Texas at Dallas, Richardson, Texas.
R J K Udayana RanatungaDepartment of Chemistry, University of Texas at Dallas, Richardson, Texas.
Sarah A HarrisDepartment of Physics and Astronomy, University of Leeds, Leeds, UK.
Steven O NielsenDepartment of Chemistry, University of Texas at Dallas, Richardson, Texas.
Stephen D LeveneDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas; Department of Molecular and Cell Biology, University of Texas at Dallas, Richardson, Texas; Department of Physics, University of Texas at Dallas, Richardson, Texas. Electronic address: sdlevene@utdallas.edu.

Funding

Biotechnology and Biological Sciences Research Council BB/1019294/1
6 · The paper itself

Abstract

In Förster resonance energy transfer (FRET) experiments, extracting accurate structural information about macromolecules depends on knowing the positions and orientations of donor and acceptor fluorophores. Several approaches have been employed to reduce uncertainties in quantitative FRET distance measurements. Fluorophore-position distributions can be estimated by surface accessibility (SA) calculations, which compute the region of space explored by the fluorophore within a static macromolecular structure. However, SA models generally do not take fluorophore shape, dye transition-moment orientation, or dye-specific chemical interactions into account. We present a detailed molecular-dynamics (MD) treatment of fluorophore dynamics for an ATTO donor/acceptor dye pair and specifically consider as case studies dye-labeled protein-DNA intermediates in Cre site-specific recombination. We carried out MD simulations in both an aqueous solution and glycerol/water mixtures to assess the effects of experimental solvent systems on dye dynamics. Our results unequivocally show that MD simulations capture solvent effects and dye-dye interactions that can dramatically affect energy transfer efficiency. We also show that results from SA models and MD simulations strongly diverge in cases where donor and acceptor fluorophores are in close proximity. Although atomistic simulations are computationally more expensive than SA models, explicit MD studies are likely to give more realistic results in both homogeneous and mixed solvents. Our study underscores the model-dependent nature of FRET analyses, but also provides a starting point to develop more realistic in silico approaches for obtaining experimental ensemble and single-molecule FRET data.

Indexed as

Fluorescence Resonance Energy TransferMolecular Dynamics SimulationAmino Acid SequenceBase SequenceDNAFluorescent DyesIntegrasesMolecular Sequence DataProtein BindingSolubilityCre recombinaseDNAFluorescent DyesIntegrases

Identifiers

PMID25099809
PMCPMC4129480

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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.