Evidence map›Paper›PMID 27286828›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Structure of a low-population binding intermediate in protein-RNA recognition.

Aditi N Borkar, Michael F Bardaro, Carlo Camilloni, Francesco A Aprile, Gabriele Varani, Michele Vendruscolo

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. An overview of structural approaches to study therapeutic RNAs.Frontiers in molecular biosciences · 2022
    Review
  12. Mechanism of RNA recognition by a Musashi RNA-binding protein.Current research in structural biology · 2022
    Review
  13. Article
  14. Article
  15. Mining for Ligandable Cavities in RNA.ACS medicinal chemistry letters · 2021
    Article
  16. A method of incorporating rate constants as kinetic constraints in molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Target-Directed Approaches for Screening Small Molecules against RNA Targets.SLAS discovery : advancing life sciences R & D · 2020
    Review
  18. Article
  19. RNA Dynamics by NMR Spectroscopy.Chembiochem : a European journal of chemical biology · 2019
    Review
  20. The roles of structural dynamics in the cellular functions of RNAs.Nature reviews. Molecular cell biology · 2019
    Review
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.

Aditi N BorkarDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;ORCID 0000-0003-4361-6561
Michael F BardaroDepartment of Chemistry, University of Washington, Seattle, WA 98197-1700.
Carlo CamilloniDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;ORCID 0000-0002-9923-8590
Francesco A AprileDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;
Gabriele VaraniDepartment of Chemistry, University of Washington, Seattle, WA 98197-1700.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom; mv245@cam.ac.uk.
University of Cambridge · GBUniversity of Washington · US

Funding

Specificity of mRNA 3'-end processing and transcription terminationR01GM064440 · NIGMS · UNIVERSITY OF WASHINGTON · PI VARANI, GABRIELE · 2002 to 2015
$4.5M
New Inhibitors of HIV ReplicationR21AI060410 · NIAID · UNIVERSITY OF WASHINGTON · PI VARANI, GABRIELE · 2004 to 2005
$370k
NIAID NIH HHS R21 AI060410NIGMS NIH HHS R01 GM064440Wellcome Trust
6 · The paper itself

Abstract

The interaction of the HIV-1 protein transactivator of transcription (Tat) and its cognate transactivation response element (TAR) RNA transactivates viral transcription and represents a paradigm for the widespread occurrence of conformational rearrangements in protein-RNA recognition. Although the structures of free and bound forms of TAR are well characterized, the conformations of the intermediates in the binding process are still unknown. By determining the free energy landscape of the complex using NMR residual dipolar couplings in replica-averaged metadynamics simulations, we observe two low-population intermediates. We then rationally design two mutants, one in the protein and another in the RNA, that weaken specific nonnative interactions that stabilize one of the intermediates. By using surface plasmon resonance, we show that these mutations lower the release rate of Tat, as predicted. These results identify the structure of an intermediate for RNA-protein binding and illustrate a general strategy to achieve this goal with high resolution.

Indexed as

Binding SitesCyclin-Dependent Kinase 9Cyclin THIV Long Terminal RepeatMagnetic Resonance SpectroscopyMolecular Dynamics SimulationRNA, ViralSurface Plasmon Resonancetat Gene Products, Human Immunodeficiency VirusCCNT1 protein, humanCDK9 protein, humanCyclin-Dependent Kinase 9Cyclin TRNA, Viraltat Gene Products, Human Immunodeficiency Virusexact RDC restraintsmetadynamicsNMR spectroscopyRNA structuretensor-free method

Identifiers

PMID27286828
PMCPMC4932932
OpenAlexW2417212801

What OpenQuestion holds

Textmetadata
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.