Evidence map›Paper›PMID 26935941›Full record

ArticleBioorganic & medicinal chemistry2016

Probing the geometric constraints of RNA binding via dynamic covalent chemistry.

John D McAnany, John P Reichert, Benjamin L Miller

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

John D McAnanyDepartment of Chemistry, University of Rochester, Rochester, NY 14642, United States.
John P ReichertDepartment of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14642, United States.
Benjamin L MillerDepartment of Chemistry, University of Rochester, Rochester, NY 14642, United States; Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14642, United States; Department of Dermatology, University of Rochester, Rochester, NY 14642, United States. Electronic address: Benjamin_miller@urmc.rochester.edu.

Funding

Training in HIV Replication and PathogenesisT32AI049815 · NIAID · UNIVERSITY OF ROCHESTER · PI WEDEKIND, JOSEPH E · 2001 to 2020
$3.5M
RNA Targeted Small Molecules: Connecting Binding Kinetics to Sequence SelectivityR01GM100788 · NIGMS · UNIVERSITY OF ROCHESTER · PI MILLER, BENJAMIN L · 2012 to 2015
$1.5M
NIAID NIH HHS T32 AI049815NIGMS NIH HHS R01 GM100788
6 · The paper itself

Abstract

Dynamic Combinatorial Chemistry (DCC) has proven to be a reliable method for identifying hit compounds for target nucleic acid (DNA and RNA) sequences. Typically, these hit compounds are subjected to a lengthy process of optimization via traditional medicinal chemistry. Here, we examine the potential of DCC to also generate and test variations on a hit compound as a method for probing the binding site of an RNA-targeted compound. Specifically, we demonstrate that addition of linker dithiols to a disulfide library containing a known binder to the HIV-1 frameshift-stimulatory RNA (a critical regulator of the HIV life cycle) can yield a mixture of new bridged structures incorporating the dithiol, depending on dithiol structure. Equilibration of this library with the HIV FSS RNA resulted in selection of the original disulfide in preference to bridged structures, suggesting incorporation of the bridge is not compatible with this particular binding site. Application of this strategy to other RNA targets should allow for rapidly profiling the affinity of modified compounds.

Indexed as

Combinatorial Chemistry TechniquesDisulfidesHIV-1OligopeptidesRNA, ViralSulfhydryl CompoundsDisulfidesOligopeptidesRNA, ViralSulfhydryl CompoundsDynamic Combinatorial ChemistryHIVPeptidesRNA

Identifiers

PMID26935941
PMCPMC4972655

What OpenQuestion holds

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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.