Evidence map›Paper›PMID 30521520›Full record

ArticlePLoS computational biology2018

Molecular basis for the increased affinity of an RNA recognition motif with re-engineered specificity: A molecular dynamics and enhanced sampling simulations study.

Anna Bochicchio, Miroslav Krepl, Fan Yang, Gabriele Varani, Jiri Sponer, Paolo Carloni

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. 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
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. An overview of structural approaches to study therapeutic RNAs.Frontiers in molecular biosciences · 2022
    Review
  5. Article
  6. 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 3 institutions in 3 countries.

Anna BochicchioComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany.ORCID 0000-0002-4169-8332
Miroslav KreplInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.ORCID 0000-0002-9833-4281
Fan YangDepartment of Chemistry, University of Washington, Seattle, Washington, United States of America.
Gabriele VaraniDepartment of Chemistry, University of Washington, Seattle, Washington, United States of America.
Jiri SponerInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.ORCID 0000-0001-6558-6186
Paolo CarloniComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany.
Czech Academy of Sciences, Institute of Biophysics · CZForschungszentrum Jülich · DEUniversity of Washington · US

Funding

ncRNA: Structure, Interactions and InhibitionR35GM126942 · NIGMS · UNIVERSITY OF WASHINGTON · PI Gabriele Varani · 2018 to 2026
$6.0M
Regulation of microRNA processingR01GM103834 · NIGMS · UNIVERSITY OF WASHINGTON · PI VARANI, GABRIELE · 2014 to 2017
$1.1M
NIGMS NIH HHS R01 GM103834NIGMS NIH HHS R35 GM126942
6 · The paper itself

Abstract

The RNA recognition motif (RRM) is the most common RNA binding domain across eukaryotic proteins. It is therefore of great value to engineer its specificity to target RNAs of arbitrary sequence. This was recently achieved for the RRM in Rbfox protein, where four mutations R118D, E147R, N151S, and E152T were designed to target the precursor to the oncogenic miRNA 21. Here, we used a variety of molecular dynamics-based approaches to predict specific interactions at the binding interface. Overall, we have run approximately 50 microseconds of enhanced sampling and plain molecular dynamics simulations on the engineered complex as well as on the wild-type Rbfox·pre-miRNA 20b from which the mutated systems were designed. Comparison with the available NMR data on the wild type molecules (protein, RNA, and their complex) served to establish the accuracy of the calculations. Free energy calculations suggest that further improvements in affinity and selectivity are achieved by the S151T replacement.

Indexed as

RNA Recognition MotifAmino Acid SequenceBinding SitesComputational BiologyHumansMicroRNAsModels, MolecularMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularNucleic Acid ConformationProtein BindingProtein EngineeringRNARNA-Binding ProteinsRNA StabilityMicroRNAsMIRN20b microRNA, humanMIRN21 microRNA, humanRNARNA-Binding Proteins

Identifiers

PMID30521520
PMCPMC6307825
OpenAlexW2902651146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.