Evidence map›Paper›PMID 33758848›Full record

ArticlebioRxiv : the preprint server for biology2021

One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screening.

Irene Francino Urdaniz, Paul J Steiner, Monica B Kirby, Fangzhu Zhao, Cyrus M Haas, Shawn Barman, Emily R Rhodes, Linghang Peng, Kayla G Sprenger, Joseph G Jardine and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Irene Francino UrdanizDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Paul J SteinerDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Monica B KirbyDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Fangzhu ZhaoThe Scripps Research Institute, La Jolla, CA, USA.
Cyrus M HaasDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Shawn BarmanThe Scripps Research Institute, La Jolla, CA, USA.
Emily R RhodesDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Linghang PengThe Scripps Research Institute, La Jolla, CA, USA.
Kayla G SprengerDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.
Joseph G JardineInternational AIDS Vaccine Initiative, New York, NY, USA.
Timothy A WhiteheadDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80305, USA.

Funding

The influence of evolutionary landscapes on protective antibody developmentR01AI141452 · NIAID · UNIVERSITY OF COLORADO · PI WHITEHEAD, TIMOTHY ANDREW · 2019 to 2023
$2.8M
NIAID NIH HHS R01 AI141452
6 · The paper itself

Abstract

The potential emergence of SARS-CoV-2 Spike (S) escape mutants is a threat to reduce the efficacy of existing vaccines and neutralizing antibody (nAb) therapies. An understanding of the antibody/S escape mutations landscape is urgently needed to preemptively address this threat. Here we describe a rapid method to identify escape mutants for nAbs targeting the S receptor binding site. We identified escape mutants for five nAbs, including three from the public germline class VH3-53 elicited by natural COVID-19 infection. Escape mutations predominantly mapped to the periphery of the ACE2 recognition site on the RBD with K417, D420, Y421, F486, and Q493 as notable hotspots. We provide libraries, methods, and software as an openly available community resource to accelerate new therapeutic strategies against SARS-CoV-2.

Identifiers

PMID33758848
PMCPMC7987007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.