Evidence map›Paper›PMID 26360616›Full record

ArticlePhysical chemistry chemical physics : PCCP2016

Inter-helical conformational preferences of HIV-1 TAR-RNA from maximum occurrence analysis of NMR data and molecular dynamics simulations.

Witold Andrałojć, Enrico Ravera, Loïc Salmon, Giacomo Parigi, Hashim M Al-Hashimi, Claudio Luchinat

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. RNA Dynamics by NMR Spectroscopy.Chembiochem : a European journal of chemical biology · 2019
    Review
  7. Review
  8. Article
  9. Identification of productive and futile encounters in an electron transfer protein complex.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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.

Witold AndrałojćMagnetic Resonance Center "CERM", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino (FI), Italy. parigi@cerm.unifi.it.
Enrico RaveraMagnetic Resonance Center "CERM", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino (FI), Italy. parigi@cerm.unifi.it and Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy.
Loïc SalmonDepartment of Molecular, Cellular and Developmental Biology and Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI 48109, USA.
Giacomo ParigiMagnetic Resonance Center "CERM", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino (FI), Italy. parigi@cerm.unifi.it and Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy.
Hashim M Al-HashimiDepartment of Biochemistry and Department of Chemistry, Duke University School of Medicine, 307 Research Drive, Durham, North Carolina 27710, USA.
Claudio LuchinatMagnetic Resonance Center "CERM", University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino (FI), Italy. parigi@cerm.unifi.it and Department of Chemistry "Ugo Schiff", University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino (FI), Italy.

Funding

Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Targeting HIV-1 Regulatory RNA ElementsR01AI066975 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M · 2005 to 2014
$2.6M
NIAID NIH HHS R01 AI066975NIAID NIH HHS R01AI066975NIGMS NIH HHS P01GM0066275NIGMS NIH HHS P01 GM066275
6 · The paper itself

Abstract

Detecting conformational heterogeneity in biological macromolecules is a key for the understanding of their biological function. We here provide a comparison between two independent approaches to assess conformational heterogeneity: molecular dynamics simulations, performed without inclusion of any experimental data, and maximum occurrence (MaxOcc) distribution over the topologically available conformational space. The latter only reflects the extent of the averaging and identifies regions which are most compliant with the experimentally measured NMR Residual Dipolar Couplings (RDCs). The analysis was performed for the HIV-1 TAR RNA, consisting of two helical domains connected by a flexible bulge junction, for which four sets of RDCs were available as well as an 8.2 μs all-atom molecular dynamics simulation. A sample and select approach was previously applied to extract from the molecular dynamics trajectory conformational ensembles in agreement with the four sets of RDCs. The MaxOcc analysis performed here identifies the most likely sampled region in the conformational space of the system which, strikingly, overlaps well with the structures independently sampled in the molecular dynamics calculations and even better with the RDC selected ensemble.

Indexed as

Magnetic Resonance SpectroscopyMolecular Dynamics SimulationHIV-1HumansMolecular ConformationResponse ElementsRNA, ViralTranscriptional ActivationRNA, Viral

Identifiers

PMID26360616
PMCPMC6589165

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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.