Evidence map›Paper›PMID 34520542›Full record

ArticleNucleic acids research2021

Theoretical basis for stabilizing messenger RNA through secondary structure design.

Hannah K Wayment-Steele, Do Soon Kim, Christian A Choe, John J Nicol, Roger Wellington-Oguri, Andrew M Watkins, R Andres Parra Sperberg, Po-Ssu Huang, Eterna Participants, Rhiju Das

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

114 citing papers in PubMed, 177 citations in OpenAlex.

  1. Review
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  3. Towards mRNA therapeutics 2.0.Nature reviews. Drug discovery · 2026
    Review
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  20. Struct2SeQ: RNA inverse folding with Deep Q-Learning.bioRxiv : the preprint server for biology · 2026
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Hannah K Wayment-SteeleDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-4949-2010
Do Soon KimEterna Massive Open Laboratory.
Christian A ChoeEterna Massive Open Laboratory.
John J NicolEterna Massive Open Laboratory.
Roger Wellington-OguriEterna Massive Open Laboratory.ORCID 0000-0002-7818-2161
Andrew M WatkinsEterna Massive Open Laboratory.ORCID 0000-0003-1617-1720
R Andres Parra SperbergDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Po-Ssu HuangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Eterna ParticipantsEterna Massive Open Laboratory.
Rhiju DasEterna Massive Open Laboratory.
Eterna Massive Open Laboratory · USStanford University · USNorthwestern University · US

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

RNA hydrolysis presents problems in manufacturing, long-term storage, world-wide delivery and in vivo stability of messenger RNA (mRNA)-based vaccines and therapeutics. A largely unexplored strategy to reduce mRNA hydrolysis is to redesign RNAs to form double-stranded regions, which are protected from in-line cleavage and enzymatic degradation, while coding for the same proteins. The amount of stabilization that this strategy can deliver and the most effective algorithmic approach to achieve stabilization remain poorly understood. Here, we present simple calculations for estimating RNA stability against hydrolysis, and a model that links the average unpaired probability of an mRNA, or AUP, to its overall hydrolysis rate. To characterize the stabilization achievable through structure design, we compare AUP optimization by conventional mRNA design methods to results from more computationally sophisticated algorithms and crowdsourcing through the OpenVaccine challenge on the Eterna platform. We find that rational design on Eterna and the more sophisticated algorithms lead to constructs with low AUP, which we term 'superfolder' mRNAs. These designs exhibit a wide diversity of sequence and structure features that may be desirable for translation, biophysical size, and immunogenicity. Furthermore, their folding is robust to temperature, computer modeling method, choice of flanking untranslated regions, and changes in target protein sequence, as illustrated by rapid redesign of superfolder mRNAs for B.1.351, P.1 and B.1.1.7 variants of the prefusion-stabilized SARS-CoV-2 spike protein. Increases in in vitro mRNA half-life by at least two-fold appear immediately achievable.

Indexed as

AlgorithmsBase PairingBase SequenceCOVID-19HumansHydrolysisRNA, Double-StrandedRNA, MessengerRNA StabilityRNA, ViralSARS-CoV-2Spike Glycoprotein, CoronavirusThermodynamicsRNA, Double-StrandedRNA, MessengerRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID34520542
PMCPMC8499941
OpenAlexW3200792349

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.