Evidence map›Paper›PMID 35174856›Full record

ArticleProtein engineering, design & selection : PEDS2022

Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species.

Pete Heinzelman, Jonathan C Greenhalgh, Philip A Romero

Open access · greenAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2022. 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
0.1field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Backstage Heroes-Yeast in COVID-19 Research.International journal of molecular sciences · 2024
    Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Pete HeinzelmanDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-5588-3731
Jonathan C GreenhalghDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-5912-4970
Philip A RomeroDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2586-7263
University of Wisconsin–Madison · US

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Data-driven analysis of protein structure, function, and regulationR35GM119854 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI ROMERO, PHILIP ANTHONY · 2016 to 2020
$1.9M
NIGMS NIH HHS R35 GM119854NIGMS NIH HHS T32 GM008349US National Institutes of Health 5R35GM119854
6 · The paper itself

Abstract

Understanding how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interacts with different mammalian angiotensin-converting enzyme II (ACE2) cell entry receptors elucidates determinants of virus transmission and facilitates development of vaccines for humans and animals. Yeast display-based directed evolution identified conserved ACE2 mutations that increase spike binding across multiple species. Gln42Leu increased ACE2-spike binding for human and four of four other mammalian ACE2s; Leu79Ile had an effect for human and three of three mammalian ACE2s. These residues are highly represented, 83% for Gln42 and 56% for Leu79, among mammalian ACE2s. The above findings can be important in protecting humans and animals from existing and future SARS-CoV-2 variants.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2AnimalsHumansMutationProtein BindingSaccharomyces cerevisiaeSpike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusangiotensin-converting enzyme IIdirected evolutionSARS-CoV-2vaccineyeast surface display

Identifiers

PMID35174856
PMCPMC9005050
OpenAlexW4206124525

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.