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Record W3165644756 · doi:10.1021/acsinfecdis.1c00083

Quinoline and Quinazoline Derivatives Inhibit Viral RNA Synthesis by SARS-CoV-2 RdRp

2021· article· en· W3165644756 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsJewish General Hospital
FundersNational Infrastructure for Microbiological ResourcesMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of China
KeywordsRNA polymeraseRNA-dependent RNA polymeraseVirologyRNACoronavirusViral replicationBiologyCoronaviridaeVirusGeneMedicineCoronavirus disease 2019 (COVID-19)BiochemistryDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Coronavirus disease 2019 (COVID-19) is a fatal respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The identification of potential drugs is urgently needed to control the pandemic. RNA dependent RNA polymerase (RdRp) is a conserved protein within RNA viruses and plays a crucial role in the viral life cycle, thus making it an attractive target for development of antiviral drugs. In this study, 101 quinoline and quinazoline derivatives were screened against SARS-CoV-2 RdRp using a cell-based assay. Three compounds I-13e, I-13h, and I-13i exhibit remarkable potency in inhibiting RNA synthesis driven by SARS-CoV-2 RdRp and relatively low cytotoxicity. Among these three compounds, I-13e showed the strongest inhibition upon RNA synthesis driven by SARS-CoV-2 RdRp, the resistance to viral exoribonuclease activity and the inhibitory effect on the replication of CoV, thus holding potential of being drug candidate for treatment of SARS-CoV-2.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.324
Teacher spread0.301 · 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