Evidence map›Paper›PMID 37272117›Full record

ArticleRNA biology2023

Biochemistry-informed design selects potent siRNAs against SARS-CoV-2.

Élisabeth Houbron, Sophie Mockly, Sophia Rafasse, Nathalie Gros, Delphine Muriaux, Hervé Seitz

Abstract read
In one paragraph

Article in RNA biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Élisabeth HoubronInstitut de Génétique Humaine, UMR 9002 CNRS and University of Montpellier, Montpellier, France.
Sophie MocklyInstitut de Génétique Humaine, UMR 9002 CNRS and University of Montpellier, Montpellier, France.ORCID 0000-0002-1686-4482
Sophia RafasseCEMIPAI UAR 3725 CNRS and University of Montpellier, Montpellier, France.
Nathalie GrosCEMIPAI UAR 3725 CNRS and University of Montpellier, Montpellier, France.ORCID 0000-0002-9440-4684
Delphine MuriauxCEMIPAI UAR 3725 CNRS and University of Montpellier, Montpellier, France.ORCID 0000-0001-8517-9342
Hervé SeitzInstitut de Génétique Humaine, UMR 9002 CNRS and University of Montpellier, Montpellier, France.ORCID 0000-0001-8172-5393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) offers an efficient way to repress genes of interest, and it is widely used in research settings. Clinical applications emerged more recently, with 5 approved siRNAs (the RNA guides of the RNAi effector complex) against human diseases. The development of siRNAs against the SARS-CoV-2 virus could therefore provide the basis of novel COVID-19 treatments, while being easily adaptable to future variants or to other, unrelated viruses. Because the biochemistry of RNAi is very precisely described, it is now possible to design siRNAs with high predicted activity and specificity using only computational tools. While previous siRNA design algorithms tended to rely on simplistic strategies (raising fully complementary siRNAs against targets of interest), our approach uses the most up-to-date mechanistic description of RNAi to allow mismatches at tolerable positions and to force them at beneficial positions, while optimizing siRNA duplex asymmetry. Our pipeline proposes 8 siRNAs against SARS-CoV-2, and

Indexed as

COVID-19VirusesAntiviral AgentsHumansRNA InterferenceRNA, Small InterferingSARS-CoV-2Antiviral AgentsRNA, Small InterferingRNA accessibilityRNAiSARS-CoV-2siRNAsiRNA design

Identifiers

PMID37272117
PMCPMC10243379

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.