Evidence map›Paper›PMID 36413497›Full record

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

Discovery of small molecules that target a tertiary-structured RNA.

Elena Menichelli, Bianca J Lam, Yu Wang, Vivian S Wang, Jennifer Shaffer, Katrina F Tjhung, Badry Bursulaya, Truc Ngoc Nguyen, Todd Vo, Phillip B Alper and 7 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
3.2field-weighted citation impact, top 7% 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, 40 citations in OpenAlex.

  1. Article
  2. Reconsidering Molecular Docking Practices in Aptamer Research.Chembiochem : a European journal of chemical biology · 2026
    Article
  3. Comparative Evaluation of Explicit Solvent Models for RNA-Ligand Docking.Journal of chemical information and modeling · 2026
    Article
  4. Article
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  6. Review
  7. Article
  8. Article
  9. Article
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  14. Article
  15. Molecular insights into de novo small-molecule recognition by an intron RNA structure.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
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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

17 authors at 2 institutions in 1 country.

Elena MenichelliNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Bianca J LamNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0001-6592-2098
Yu WangNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Vivian S WangNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Jennifer ShafferNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Katrina F TjhungNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Badry BursulayaNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Truc Ngoc NguyenNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Todd VoNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Phillip B AlperNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Christopher S McAllisterNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0003-3483-4444
David H JonesNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Glen SpraggonNovartis Institutes for BioMedical Research, San Diego, CA 92121.
Pierre-Yves MichellysNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0002-8660-9292
John JoslinNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0002-6842-688X
Gerald F JoyceNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0003-0603-2874
Jeff RogersNovartis Institutes for BioMedical Research, San Diego, CA 92121.ORCID 0000-0002-5364-2790
Novartis (United States) · USSalk Institute for Biological Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing interest in therapeutic intervention that targets disease-relevant RNAs using small molecules. While there have been some successes in RNA-targeted small-molecule discovery, a deeper understanding of structure-activity relationships in pursuing these targets has remained elusive. One of the best-studied tertiary-structured RNAs is the theophylline aptamer, which binds theophylline with high affinity and selectivity. Although not a drug target, this aptamer has had many applications, especially pertaining to genetic control circuits. Heretofore, no compound has been shown to bind the theophylline aptamer with greater affinity than theophylline itself. However, by carrying out a high-throughput screen of low-molecular-weight compounds, several unique hits were identified that are chemically distinct from theophylline and bind with up to 340-fold greater affinity. Multiple atomic-resolution X-ray crystal structures were determined to investigate the binding mode of theophylline and four of the best hits. These structures reveal both the rigidity of the theophylline aptamer binding pocket and the opportunity for other ligands to bind more tightly in this pocket by forming additional hydrogen-bonding interactions. These results give encouragement that the same approaches to drug discovery that have been applied so successfully to proteins can also be applied to RNAs.

Indexed as

Aptamers, NucleotideRNALigandsStructure-Activity RelationshipTheophyllineAptamers, NucleotideLigandsRNATheophyllinehigh-throughput screeningRNA aptamerRNA–ligand interactionsRNA structure

Identifiers

PMID36413497
PMCPMC9860313
OpenAlexW4309670138

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.