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Record W4409799210 · doi:10.1038/s44298-025-00116-x

Potent neutralising monoclonal antibodies targeting the spike of NL63 coronavirus

2025· article· en· W4409799210 on OpenAlexaff
Wen Shi Lee, George Taiaroa, Robyn Esterbauer, Meghan Conlan, Jessica A. Neil, Matthew J. Gartner, Monique L. Smith, Mingyang Wang, Rory A. Shepherd, Thomas Tran, Phillip Pymm, Lara S. U. Schwab, Andrew P. Kelly, Ellie Reilly, Thakshila Amarasena, Bruce D. Wines, P. Mark Hogarth, Jennifer A. Juno, Stephen J. Kent, Hyon‐Xhi Tan, Kanta Subbarao, Adam K. Wheatley

Bibliographic record

Venuenpj Viruses · 2025
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversité LavalCentre hospitalier de l'Université LavalCentre hospitalier universitaire de Québec
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMonoclonal antibodySpike (software development)VirologyCoronavirusAntibodySpike ProteinCoronavirus disease 2019 (COVID-19)BiologyMedicineImmunologyComputer sciencePathologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

NL63 is an alphacoronavirus that uses the same ACE2 receptor as SARS-CoV and SARS-CoV-2, but generally causes mild respiratory illness. In a cohort of healthy adults, we characterised humoral responses against NL63 spike and isolated a panel of human monoclonal antibodies (mAbs), including five with potent viral neutralising activity. Four neutralising mAbs blocked ACE2 receptor engagement and were found to target the receptor binding motif. A single mAb targeting the S2 subunit displayed potent neutralisation activity comparable to those directly blocking receptor engagement. The S2 mAb targets a membrane proximal heptad repeat 2 (HR2) region in spike that is absent in betacoronaviruses, potentially revealing a site of vulnerability unique to alphacoronaviruses. For all neutralising mAbs, putative epitopes were highly conserved in over 200 NL63 sequences, including recent clinical isolates. A deeper understanding of the recognition of alphacoronavirus spike by human antibodies will guide vaccine and therapeutic development against alphacoronavirus threats.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.400
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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