Evidence map›Paper›PMID 33398270›Full record

ArticlebioRxiv : the preprint server for biology2020

Tetravalent SARS-CoV-2 Neutralizing Antibodies Show Enhanced Potency and Resistance to Escape Mutations.

Shane Miersch, Zhijie Li, Reza Saberianfar, Mart Ustav, James Brett Case, Levi Blazer, Chao Chen, Wei Ye, Alevtina Pavlenco, Maryna Gorelik and 18 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. 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, 13 citations in OpenAlex.

  1. Paricalcitol promotes the maturation of immune granulomas in an experimental model of superoxide dismutase A-induced inflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 5 institutions in 3 countries.

Shane Miersch
Zhijie Li
Reza Saberianfar
Mart Ustav
James Brett Case
Levi Blazer
Chao Chen
Wei Ye
Alevtina Pavlenco
Maryna Gorelik
Julia Garcia Perez
Suryasree Subramania
Serena Singh
Lynda Ploder
Safder Ganaie
Rita E Chen
Daisy W Leung
Pier Paolo Pandolfi
Giulia Matusali
Francesca Colavita
Maria R Capobianchi
Suresh Jain
J B Gupta
Gaya K Amarasinghe
Michael S Diamond
James Rini
Sachdev S Sidhu
University of Toronto · CAWashington University in St. Louis · USIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITUniversity of Rome Tor Vergata · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutralizing antibodies (nAbs) hold promise as effective therapeutics against COVID-19. Here, we describe protein engineering and modular design principles that have led to the development of synthetic bivalent and tetravalent nAbs against SARS-CoV-2. The best nAb targets the host receptor binding site of the viral S-protein and its tetravalent versions can block entry with a potency that exceeds the bivalent nAbs by an order of magnitude. Structural studies show that both the bivalent and tetravalent nAbs can make multivalent interactions with a single S-protein trimer, observations consistent with the avidity and potency of these molecules. Significantly, we show that the tetravalent nAbs show much increased tolerance to potential virus escape mutants. Bivalent and tetravalent nAbs can be produced at large-scale and are as stable and specific as approved antibody drugs. Our results provide a general framework for developing potent antiviral therapies against COVID-19 and related viral threats, and our strategy can be readily applied to any antibody drug currently in development.

Identifiers

PMID33398270
PMCPMC7781305
OpenAlexW3094817873

What OpenQuestion holds

Textmetadata
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.