Evidence map›Paper›PMID 27097021›Full record

ArticleACS chemical biology2016

Inforna 2.0: A Platform for the Sequence-Based Design of Small Molecules Targeting Structured RNAs.

Matthew D Disney, Audrey M Winkelsas, Sai Pradeep Velagapudi, Mark Southern, Mohammad Fallahi, Jessica L Childs-Disney

Abstract read
In one paragraph

Article in ACS chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

149 citing papers in PubMed, 1 synthesis or guideline pooled it, 235 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Machine Learning for RNA-Targeting Drug Design.Journal of chemical information and modeling · 2026
    Review
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  8. Article
  9. Article
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  11. Article
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  18. Article
  19. Targeted RNA Degradation as a Promising Therapeutic Strategy.International journal of molecular sciences · 2025
    Review
  20. Article

89 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Matthew D DisneyDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Audrey M WinkelsasDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Sai Pradeep VelagapudiDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Mark SouthernDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Mohammad FallahiDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Jessica L Childs-DisneyDepartment of Chemistry and ‡Informatics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Scripps Research Institute · US

Funding

Sequence-based Design of Small Molecules Targeting RNAR01GM097455 · NIGMS · SCRIPPS FLORIDA · PI DISNEY, MATTHEW D · 2012 to 2019
$4.6M
NIGMS NIH HHS R01 GM097455
6 · The paper itself

Abstract

The development of small molecules that target RNA is challenging yet, if successful, could advance the development of chemical probes to study RNA function or precision therapeutics to treat RNA-mediated disease. Previously, we described Inforna, an approach that can mine motifs (secondary structures) within target RNAs, which is deduced from the RNA sequence, and compare them to a database of known RNA motif-small molecule binding partners. Output generated by Inforna includes the motif found in both the database and the desired RNA target, lead small molecules for that target, and other related meta-data. Lead small molecules can then be tested for binding and affecting cellular (dys)function. Herein, we describe Inforna 2.0, which incorporates all known RNA motif-small molecule binding partners reported in the scientific literature, a chemical similarity searching feature, and an improved user interface and is freely available via an online web server. By incorporation of interactions identified by other laboratories, the database has been doubled, containing 1936 RNA motif-small molecule interactions, including 244 unique small molecules and 1331 motifs. Interestingly, chemotype analysis of the compounds that bind RNA in the database reveals features in small molecule chemotypes that are privileged for binding. Further, this updated database expanded the number of cellular RNAs to which lead compounds can be identified.

Indexed as

Base SequenceDrug DesignHumansInformaticsKanamycinMicroRNAsRNASmall Molecule LibrariesStructure-Activity Relationship6'-N-5-hexynoate kanamycin AKanamycinMicroRNAsMIRN96 microRNA, humanRNASmall Molecule Libraries

Identifiers

PMID27097021
PMCPMC4912454
OpenAlexW2339718724

What OpenQuestion holds

Textmetadata
LicenceTDM
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.