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Record W4281711537 · doi:10.1016/j.isci.2022.104528

VE607 stabilizes SARS-CoV-2 Spike in the “RBD-up” conformation and inhibits viral entry

2022· article· en· W4281711537 on OpenAlexafffund
Shilei Ding, Irfan Ullah, Shang Yu Gong, Jonathan R. Grover, Mohammadjavad Mohammadi, Yaozong Chen, Dani Vézina, Guillaume Beaudoin-Bussières, Vijay Tailor Verma, Guillaume Goyette, Fleur Gaudette, Jonathan Richard, Derek Yang, Amos B. Smith, Marzena Pazgier, Marceline Côté, Cameron F. Abrams, Priti Kumar, Walther Mothes, Pradeep D. Uchil, Andrés Finzi, Christian Baron

Bibliographic record

VenueiScience · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of OttawaUniversité de MontréalMcGill UniversityCentre Hospitalier de l’Université de Montréal
FundersNational Institute of Allergy and Infectious DiseasesFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNational Institutes of HealthUniversité de MontréalCanada Foundation for InnovationFondation du CHUM
KeywordsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Spike ProteinCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSpike (software development)Sars virusBiophysicsCoronavirusViral entryVirologyChemistryBiologyVirusMedicineInfectious disease (medical specialty)Viral replicationComputer science

Abstract

fetched live from OpenAlex

docking, mutational analysis, and smFRET revealed that VE607 binds to the receptor binding domain (RBD)-ACE2 interface and stabilizes RBD in its "up" conformation. Prophylactic treatment with VE607 did not prevent SARS-CoV-2-induced mortality in K18-hACE2 mice, but it did reduce viral replication in the lungs by 37-fold. Thus, VE607 is an interesting lead for drug development for the treatment of SARS-CoV-2 infection.

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)0.001
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 score0.286
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.048
GPT teacher head0.352
Teacher spread0.304 · 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

Citations18
Published2022
Admission routes2
Has abstractyes

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