ArticleRSC medicinal chemistry2020
Systematic analysis of the interactions driving small molecule-RNA recognition.
Article in RSC medicinal chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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.
Who cites it
38 citing papers in PubMed, 70 citations in OpenAlex.
- Modular assembly and property profiling of an expansive, shape-defined library of pentacyclic saturated N-heterocycles.Chemical science · 2026Article
- Machine Learning for RNA-Targeting Drug Design.Journal of chemical information and modeling · 2026Review
- Structural Pockets and Interacting RNA-Associated Ligands (SPIRAL): A DSSR-enabled Meta-Analysis of RNA-Small Molecule Recognition.bioRxiv : the preprint server for biology · 2026Article
- RNA-binding landscape of amiloride: large-scale profiling and structural basis of U-U mismatch recognition.RSC chemical biology · 2026Article
- Stenhouse Zwitterion Photoswitches as Hydrogen-Bond Acceptors.Journal of the American Chemical Society · 2026Article
- Deciphering hydration patterns across RNA conformations: Insights into water-mediated RNA recognition.Current research in structural biology · 2026Article
- Exploring Secondary Structure Predictions for RNA-Targeted Drug Discovery: Power and Challenges.Journal of chemical information and modeling · 2026Article
- AI-Augmented Iterative Screening of Libraries Against RNA Targets (AISLAR) Boosts Discovery of SAR-Tractable RNA Binders and Rational Analog Design.Small science · 2026Article
- Article
- NMR-Based Fragment Screening for RNA-Targeted Drug Discovery.Molecules (Basel, Switzerland) · 2026Review
- SHAPE-Based Chemical Probes for Studying preQACS chemical biology · 2025Article
- Targeting RNA with small molecules using state-of-the-art methods provides highly predictive affinities of riboswitch inhibitors.Communications biology · 2025Article
- Streamlined Fragment-Based Discovery Platform for Targeting Structured RNAs.ACS chemical biology · 2025Article
- Making Sense of Heteroatom Effects in π-π Interactions.Journal of the American Chemical Society · 2025Article
- Review
- Xist condensates: perspectives for therapeutic intervention.Genome biology · 2025Review
- Stacking Interactions of Druglike Heterocycles with Nucleobases.Journal of chemical information and modeling · 2025Article
- DRLiPS: a novel method for prediction of druggable RNA-small molecule binding pockets using machine learning.Nucleic acids research · 2025Article
- The Cation-π Interaction in Chemistry and Biology.Chemical reviews · 2025Review
- Advances and Mechanisms of RNA-Ligand Interaction Predictions.Life (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
RNA molecules are becoming an important target class in drug discovery. However, the principles for designing RNA-binding small molecules are yet to be fully uncovered. In this study, we examined the Protein Data Bank (PDB) to highlight privileged interactions underlying small molecule-RNA recognition. By comparing this analysis with previously determined small molecule-protein interactions, we find that RNA recognition is driven mostly by stacking and hydrogen bonding interactions, while protein recognition is instead driven by hydrophobic effects. Furthermore, we analyze patterns of interactions to highlight potential strategies to tune RNA recognition, such as stacking and cation-π interactions that favor purine and guanine recognition, and note an unexpected paucity of backbone interactions, even for cationic ligands. Collectively, this work provides further understanding of RNA-small molecule interactions that may inform the design of small molecules targeting RNA.
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.