Evidence map›Paper›PMID 38482061›Full record

ArticleNAR genomics and bioinformatics2024

mRNAid, an open-source platform for therapeutic mRNA design and optimization strategies.

Nikita Vostrosablin, Shuhui Lim, Pooja Gopal, Kveta Brazdilova, Sushmita Parajuli, Xiaona Wei, Anna Gromek, David Prihoda, Martin Spale, Anja Muzdalo and 7 more

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Towards mRNA therapeutics 2.0.Nature reviews. Drug discovery · 2026
    Review
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  8. Review
  9. 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.

Nikita VostrosablinDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Shuhui LimQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Pooja GopalQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Kveta BrazdilovaDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Sushmita ParajuliDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Xiaona WeiBioinformatics, MSD Singapore, 138665, Singapore.
Anna GromekDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
David PrihodaDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Martin SpaleDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Anja MuzdaloDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Jamie GreigQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Constance YeoQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Joanna WardynQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Petr MejzlikDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.
Brian HenryQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Anthony W PartridgeQuantitative Biosciences, MSD Singapore, 138665, Singapore.
Danny A BittonDiscovery Informatics, MSD Czech Republic s.r.o., Prague, 150 00, Czech Republic.ORCID https://orcid.org/0000-0003-3282-1017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent COVID-19 vaccines unleashed the potential of mRNA-based therapeutics. A common bottleneck across mRNA-based therapeutic approaches is the rapid design of mRNA sequences that are translationally efficient, long-lived and non-immunogenic. Currently, an accessible software tool to aid in the design of such high-quality mRNA is lacking. Here, we present mRNAid, an open-source platform for therapeutic mRNA optimization, design and visualization that offers a variety of optimization strategies for sequence and structural features, allowing one to customize desired properties into their mRNA sequence. We experimentally demonstrate that transcripts optimized by mRNAid have characteristics comparable with commercially available sequences. To encompass additional aspects of mRNA design, we experimentally show that incorporation of certain uridine analogs and untranslated regions can further enhance stability, boost protein output and mitigate undesired immunogenicity effects. Finally, this study provides a roadmap for rational design of therapeutic mRNA transcripts.

Identifiers

PMID38482061
PMCPMC10935487

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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.