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Record W3205310050 · doi:10.1016/j.celrep.2021.109892

Mechanistic insights into COVID-19 by global analysis of the SARS-CoV-2 3CLpro substrate degradome

2021· article· en· W3205310050 on OpenAlexafffund
Isabel Pablos, Yoan Machado, Hugo César Ramos de Jesus, Yasir Mohamud, Reinhild Kappelhoff, Cecilia Lindskog, Marli Vlok, Peter A. Bell, Georgina S. Butler, Peter M. Grin, Quynh Cao, Jenny Nguyen, Nestor Solis, Srinivas Abbina, Wioletta Rut, John C. Vederas, László Székely, Attila Szakos, Marcin Drąg, Jayachandran N. Kizhakkedathu, Karen Mossman, Jeremy A. Hirota, Eric Jan, Honglin Luo, Arinjay Banerjee, Christopher M. Overall

Bibliographic record

VenueCell Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversity of AlbertaUniversity of WaterlooMcMaster UniversitySt. Paul's HospitalUniversity of British Columbia
FundersInstytut Biologii Medycznej Polskiej Akademii NaukCanadian Institutes of Health ResearchStockholms Läns LandstingNatural Sciences and Engineering Research Council of CanadaNarodowe Centrum NaukiKnut och Alice Wallenbergs StiftelseCanada Research ChairsMichael Smith Health Research BCCanada Excellence Research Chairs, Government of CanadaAgencja Badań MedycznychCanada Foundation for Innovation
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakBiologyBetacoronavirusVirologySubstrate (aquarium)MedicineEcology

Abstract

fetched live from OpenAlex

Highlights d An atlas of 101 human cell substrates of SARS-CoV-2 3CL pro and 58 candidate substrates is presented d SARS-CoV-2 3CL pro redundantly targets the hippo and antiviral xenophagy pathways d Galectin-8 binds as an intracellular sensor for CoV-2 spike protein that 3CL pro cuts d Cytosolic translocation of PTBP1 from the nucleus follows proteolytic removal of an NLS

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)0.001
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 score0.078
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
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 head0.039
GPT teacher head0.344
Teacher spread0.305 · 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

Citations108
Published2021
Admission routes2
Has abstractyes

Explore more

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