Evidence map›Paper›PMID 35110406›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

DNA-encoded library versus RNA-encoded library selection enables design of an oncogenic noncoding RNA inhibitor.

Raphael I Benhamou, Blessy M Suresh, Yuquan Tong, Wesley G Cochrane, Valerie Cavett, Simon Vezina-Dawod, Daniel Abegg, Jessica L Childs-Disney, Alexander Adibekian, Brian M Paegel and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
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  9. F-box in breast cancer: mechanism of action and therapeutic potential.American journal of translational research · 2025
    Review
  10. Article
  11. Review
  12. Article
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  14. Heterobifunctional small molecules to modulate RNA function.Trends in pharmacological sciences · 2024
    Review
  15. Review
  16. Review
  17. Small molecule approaches to targeting RNA.Nature reviews. Chemistry · 2024
    Review
  18. Review
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  20. 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

11 authors at 2 institutions in 1 country.

Raphael I BenhamouDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0003-1743-0886
Blessy M SureshDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0003-0344-4777
Yuquan TongDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.
Wesley G CochraneDepartment of Chemistry and Pharmaceutical Sciences, University of California, Irvine, CA 92617.
Valerie CavettDepartment of Chemistry and Pharmaceutical Sciences, University of California, Irvine, CA 92617.
Simon Vezina-DawodDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0001-7029-898X
Daniel AbeggDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.
Jessica L Childs-DisneyDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.
Alexander AdibekianDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0001-6453-0244
Brian M PaegelDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458; disney@scripps.edu bpaegel@uci.edu.
Matthew D DisneyDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL 33458; disney@scripps.edu bpaegel@uci.edu.ORCID 0000-0001-8486-1796
Scripps Research Institute · USUniversity of California, Irvine · US

Funding

Targeted degradation of RNAs by using small moleculesR01CA249180 · NCI · UNIVERSITY OF FLORIDA · PI Matthew D Disney · 2020 to 2026
$4.8M
Activity-Based DNA-Encoded Library TechnologyR35GM140890 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Brian M Paegel · 2021 to 2026
$2.2M
High-Throughput Droplet-Scale Functional Screening of DNA-Encoded Combinatorial LibrariesR01GM120491 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI PAEGEL, BRIAN M · 2017 to 2020
$1.4M
NCI NIH HHS R01 CA249180NIGMS NIH HHS R01 GM120491NIGMS NIH HHS R35 GM140890
6 · The paper itself

Abstract

Nature evolves molecular interaction networks through persistent perturbation and selection, in stark contrast to drug discovery, which evaluates candidates one at a time by screening. Here, nature's highly parallel ligand-target search paradigm is recapitulated in a screen of a DNA-encoded library (DEL; 73,728 ligands) against a library of RNA structures (4,096 targets). In total, the screen evaluated ∼300 million interactions and identified numerous bona fide ligand-RNA three-dimensional fold target pairs. One of the discovered ligands bound a 5'G

Indexed as

CarcinogenesisCell Line, TumorCell ProliferationDNADrug DiscoveryGene ExpressionGene LibraryHumansLigandsMicroRNAsOncogenesRNA, UntranslatedSmall Molecule LibrariesTriple Negative Breast NeoplasmsDNALigandsMicroRNAsRNA, UntranslatedSmall Molecule Librariesdrug designnucleic acidsRNARNA folding

Identifiers

PMID35110406
PMCPMC8833215
OpenAlexW4210546434

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.