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Record W3131619507 · doi:10.1016/j.apsb.2021.02.011

Corilagin inhibits SARS-CoV-2 replication by targeting viral RNA-dependent RNA polymerase

2021· article· en· W3131619507 on OpenAlexaff
Quanjie Li, Dongrong Yi, Xiaobo Lei, Jianyuan Zhao, Yongxin Zhang, Xiangling Cui, Xia Xiao, Tao Jiao, Xiaojing Dong, Xuesen Zhao, Hui Zeng, Chen Liang, Lili Ren, Fei Guo, Xiaoyu Li, Jianwei Wang, Shan Cen

Bibliographic record

VenueActa Pharmaceutica Sinica B · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPhytochemistry and Bioactivity Studies
Canadian institutionsMcGill UniversityJewish General Hospital
FundersNational Infrastructure for Microbiological ResourcesNatural Science Foundation of Beijing MunicipalityChinese Academy of Meteorological SciencesNational Natural Science Foundation of China
KeywordsRNA polymeraseProofreadingRNA-dependent RNA polymeraseCoronavirusPolymeraseNucleosideNucleoside triphosphatePopulationRNAVirologyBiologyChemistryEnzymeBiochemistryNucleotideCoronavirus disease 2019 (COVID-19)MedicineGene

Abstract

fetched live from OpenAlex

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become one major threat to human population health. The RNA-dependent RNA polymerase (RdRp) presents an ideal target of antivirals, whereas nucleoside analogs inhibitor is hindered by the proofreading activity of coronavirus. Herein, we report that corilagin (RAI-S-37) as a non-nucleoside inhibitor of SARS-CoV-2 RdRp, binds directly to RdRp, effectively inhibits the polymerase activity in both cell-free and cell-based assays, fully resists the proofreading activity and potently inhibits SARS-CoV-2 infection with a low 50% effective concentration (EC50) value of 0.13 μmol/L. Computation modeling predicts that RAI-S-37 lands at the palm domain of RdRp and prevents conformational changes required for nucleotide incorporation by RdRp. In addition, combination of RAI-S-37 with remdesivir exhibits additive activity against anti-SARS-CoV-2 RdRp. Together with the current data available on the safety and pharmacokinetics of corilagin as a medicinal herbal agent, these results demonstrate the potential of being developed into one of the much-needed SARS-CoV-2 therapeutics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.134
GPT teacher head0.453
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), 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

Citations68
Published2021
Admission routes1
Has abstractyes

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Same venueActa Pharmaceutica Sinica BSame topicPhytochemistry and Bioactivity StudiesFrench-language works237,207