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Peptide Aldehydes Incorporating Thiazol-4-yl Alanine Are Potent In Vitro Inhibitors of SARS-CoV-2 Main Protease

2024· article· en· W4404012365 on OpenAlexafffund
Jenson R. Feys, Kyle C. Edwards, Michael Joyce, Holly A. Saffran, Justin Shields, Kassandra Garcia, D. Lorne Tyrrell, Conrad Fischer

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2024
Typearticle
Languageen
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaBarry University
KeywordsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ProteaseIn vitroAlanineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakVirologyChemistryPeptidePharmacologyEnzymeMedicineBiochemistryAmino acidInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The main protease of SARS-CoV-2 is an essential enzyme required for polyprotein cleavage during viral replication and thus is an excellent target for development of direct-acting antiviral compounds. Continued research efforts have elucidated several peptidic small molecules like GC376, boceprevir, and nirmatrelvir with potent anticoronaviral activity bearing optimized amino acid side chain residues. To reduce synthetic complexity and cost, we used simple chemical surrogates that were commercially readily available to develop new inhibitors that mimic the potency of these drug compounds. We synthesized and tested several analogue chimeras of GC376 and boceprevir that have surrogate residues at the P1 and/or P2 position in order to further improve target binding. Both P1 variants with either a nonpolar cyclobutyl or polar thiazol-4-yl alanine resulted in low-micromolar to submicromolar M pro inhibitors with strong antiviral activity in cell assays.

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 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 score0.033
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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.

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

Citations3
Published2024
Admission routes2
Has abstractyes

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