Evidence map›Paper›PMID 41519898›Full record

ArticleCommunications biology2026

The computationally designed TRI2-2 miniprotein inhibitor protects against multiple SARS-CoV-2 Omicron variants.

Jimin Lee, James Brett Case, Young-Jun Park, Rashmi Ravichandran, Daniel Asarnow, M Alejandra Tortorici, Jack T Brown, Shilpa Sanapala, Lauren Carter, David Baker and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Review
  6. Article
  7. Designed miniproteins potently inhibit and protect against MERS-CoV.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jimin Lee *Department of Biochemistry, University of Washington, Seattle, WA, USA.
James Brett Case *Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0001-7331-5511
Young-Jun ParkDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2901-6949
Rashmi RavichandranDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Daniel AsarnowDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7870-5308
M Alejandra TortoriciDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2260-2577
Jack T BrownDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Shilpa SanapalaDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Lauren CarterDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7896-6217
Michael S DiamondDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA. mdiamond@wustl.edu.ORCID http://orcid.org/0000-0002-8791-3165
David VeeslerDepartment of Biochemistry, University of Washington, Seattle, WA, USA. dveesler@uw.edu.ORCID http://orcid.org/0000-0002-6019-8675

Funding

Centers for Research on Structural Biology of Infectious Diseases: Universal Influenza Vaccine Research75N93022C00036 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI STAKER, BART · 2022 to 2025
$21.7M
The Development and Evaluation of Pan-Coronavirus VaccinesP01AI168347 · NIAID · WASHINGTON UNIVERSITY · PI Michael S Diamond · 2022 to 2026
$15.9M
Human antibody-based countermeasures against the Wuhan Coronavirus SARS-CoV-2R01AI157155 · NIAID · WASHINGTON UNIVERSITY · PI BARIC, RALPH S, CROWE, JAMES E · 2020 to 2024
$6.0M
Unraveling the bat humoral immune response against zoonotic viruses to guide the design of next-generation therapeuticsDP1AI158186 · NIAID · UNIVERSITY OF WASHINGTON · PI VEESLER, DAVID · 2020 to 2024
$5.4M
De Novo Design of Minibinder Antagonists for COVID-19 and Future PandemicsR01AI160052 · NIAID · UNIVERSITY OF WASHINGTON · PI BAKER, DAVID, FULLER, DEBORAH H. · 2021 to 2025
$3.5M
Howard Hughes Medical Institute (HHMI) N/ANIAID NIH HHS 75N93022C00036NIAID NIH HHS DP1 AI158186NIAID NIH HHS P01 AI168347NIAID NIH HHS R01 AI157155NIAID NIH HHS R01 AI160052
6 · The paper itself

Abstract

The continued evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has compromised neutralizing antibody responses elicited by prior infection or vaccination and abolished the utility of most monoclonal antibody therapeutics. We previously described a computationally-designed, homotrimeric miniprotein inhibitor, designated TRI2-2, that protects mice against pre-Omicron SARS-CoV-2 variants. Here, we show that TRI2-2 exhibits broadly neutralizing activity of SARS-CoV-2 variants and protects mice against BQ.1.1, XBB.1.5 and BA.2.86 challenge when administered intranasally post-exposure. The resistance of TRI2-2 to viral escape by most variants and the ability to deliver it directly to the upper airways highlight the potential of the multivalent miniprotein inhibitor as an alternative therapeutic modality.

Indexed as

Antiviral AgentsCOVID-19SARS-CoV-2Administration, IntranasalAnimalsAntibodies, NeutralizingAntibodies, ViralChlorocebus aethiopsDisease Models, AnimalFemaleMiceMice, Inbred C57BLSpike Glycoprotein, CoronavirusVero CellsAntibodies, NeutralizingAntibodies, ViralAntiviral AgentsSpike Glycoprotein, Coronavirus

Identifiers

PMID41519898
PMCPMC12901202

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.