Evidence mapPaperPMID 40905952Full record

ReviewBiochemical Society transactions2025

Insights from deep mutational scanning in the context of an emerging pathogen.

Melissa J Call, Matthew E Call, Xinyu Wu

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2025. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Melissa J CallThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.ORCID 0000-0001-7684-5841
Matthew E CallThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.ORCID 0000-0001-5846-6469
Xinyu WuThe Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.ORCID 0000-0002-9094-9951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep mutational scanning (DMS), a high-throughput method leveraging next-generation sequencing, has been crucial in mapping the functional landscapes of key severe acquired respiratory syndrome-coronavirus 2 (SARS-CoV-2) proteins. By systematically assessing thousands of amino acid changes, DMS provides a framework to understand Angiotensin-converting enzyme 2 (ACE2) binding and immune evasion by the spike protein, mechanisms and drug escape potential of the main and papain-like viral proteases and has highlighted areas of concern in the nucleocapsid protein that may affect most currently available rapid antigen testing kits. Each application has required the design of bespoke assays in eukaryotic (yeast and mammalian) cell models, providing an exemplar for the application of this technique to future pandemics. This minireview examines how DMS has predicted key evolutionary changes in SARS-CoV-2 and affected our understanding of SARS-CoV-2 biology, specifically highlighting their relevance for therapeutics development.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2High-Throughput Nucleotide SequencingHumansMutationSpike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2deep mutational scanningmultiplexed assays of variant effectsnucleocapsidSARS-CoV-2spikeviral proteases

Identifiers

PMID40905952
PMCPMC12599253

What Socratic holds

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LicenceCC BY
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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 Socratic graph.