Evidence map›Paper›PMID 42623083›Full record

ArticleCurrent protocols2026

Integrative in silico and in vitro screening of small molecules targeting RNA.

Sabrina Toews, Megan Ken, Harald Schwalbe

Abstract read
In one paragraph

Article in Current protocols, 2026. 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. 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

3 authors.

Sabrina ToewsInstitute for Organic Chemistry and Chemical Biology, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.ORCID https://orcid.org/0009-0008-5501-6276
Megan KenDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California.ORCID https://orcid.org/0000-0001-8336-9935
Harald SchwalbeInstitute for Organic Chemistry and Chemical Biology, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.ORCID https://orcid.org/0000-0001-5693-7909

Funding

Predictive modeling of viral RNA cellular behaviorDP5OD037420 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI Megan L Ken · 2024 to 2026
$2.3M
Bundesagentur für Sprunginnovation (SPRIN-D)Deutsche Forschungsgemeinschaft (DFG) - Collaborative Research Center 902 161793742Deutsche Forschungsgemeinschaft (DFG) - Individual Grant 495006306NIH HHS DP5 OD037420State of Hesse - IWB-EFRE 20007375The Scripps Research Institute
6 · The paper itself

Abstract

Targeting structured RNA elements with small molecules has emerged as a promising yet technically challenging strategy for antiviral drug discovery. Here, we present a comprehensive and experimentally validated workflow for the integrative in silico and in vitro screening of RNA-binding small molecules. The approach is exemplified using conserved RNA elements from the SARS-CoV-2 genome, including the 5'-terminal stem-loop 1 and the programmed -1 ribosomal frameshift pseudoknot, but is broadly applicable to other structured RNAs. The workflow integrates high-resolution RNA structural ensemble generation with virtual screening (VS) and nuclear magnetic resonance (NMR)-based experimental validation. Conformational ensembles generated by fragment-assembly approaches serve as targets for docking chemically diverse fragments and lead-like libraries. Top-ranked compounds are prioritized through consensus scoring and evaluated using ligand- and RNA-observed NMR experiments to confirm binding, characterize interaction modes, and assess specificity. Such ranking allows for NMR-guided fragment optimization, which enables systematic improvement of solubility, affinity, and selectivity through iterative medicinal chemistry in the pharmaceutical pipeline. Detailed procedures are provided for library preparation, ensemble-based VS, hit validation, data interpretation, and progression toward functional assays, together with practical considerations, quality-control parameters, and troubleshooting guidance to ensure reproducibility. By combining computational and experimental strategies that select for high-specificity ligands within a unified framework, this set of protocols accelerates the discovery and optimization of RNA-targeting small molecules and provides a scalable platform for RNA-focused drug discovery. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Target and library preparation for virtual screening Basic Protocol 2: Ensemble-based virtual screening of low-molecular-weight compounds against RNA targets Basic Protocol 3: Comparative hit prioritization and selectivity filtering for RNA-binding small molecules Basic Protocol 4: Preparation of RNA samples for in vitro validation of small-molecule binding Basic Protocol 5: NMR-based in vitro screening of RNA-small molecule interactions Support Protocol: Preparation of ligand stocks and NMR-based quality control Basic Protocol 6: Characterization and prioritization of validated RNA-binding hits.

Indexed as

Antiviral AgentsDrug DiscoveryRNA, ViralSARS-CoV-2Small Molecule LibrariesComputer SimulationDrug Evaluation, PreclinicalHumansLigandsMagnetic Resonance SpectroscopyMolecular Docking SimulationNucleic Acid ConformationAntiviral AgentsLigandsRNA, ViralSmall Molecule Librariesdockingdrug targetingRNAscreeningsmall molecules

Identifiers

PMID42623083
PMCPMC13492502

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.