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Record W4416737978 · doi:10.1039/d5md00772k

Identification of spirodioxolane nsP2 helicase inhibitors with antialphaviral activity

2025· article· en· W4416737978 on OpenAlexfundno aff
Hans J. Oh, John D. Sears, M. Bose, Rahman Shah Zaib Saleem, Zachary W. Davis‐Gilbert, Mohammad Anwar Hossain, Stella R. Moorman, Durbadal Ojha, Sabian A. Martinez, Jane Burdick, Rafael M. Couñago, Nathaniel J. Moorman, Mark T. Heise, Matthew H. Todd, Timothy M. Willson

Bibliographic record

VenueRSC Medicinal Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersOntario GenomicsNational Institutes of HealthCenter for Scientific ReviewOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAGenome CanadaMcGill UniversityGenentechBayerPfizerBristol-Myers Squibb
KeywordsAlphavirusHelicaseMutantChikungunyaTogaviridaeAlphavirus infectionMutationVenezuelan equine encephalitis virus

Abstract

fetched live from OpenAlex

We describe the design, synthesis, and antialphaviral activity of spirodioxolane inhibitors targeting the alphavirus nsP2 helicase (nsP2hel). The spirodioxolanes are a new series of direct-acting antivirals that retain key molecular features required for inhibition of nsP2hel, including a highly substituted piperidine acetamide with its associated conformational isomerism and thermal mobility. Unlike the related oxaspiropiperidine nsP2hel inhibitors, the spirodioxolanes showed no enantioselectivity in their antiviral activity. The spirodioxolanes demonstrated antialphaviral activity against the Old World alphavirus Chikungunya virus, with some analogs also showing activity against the New World alphavirus Venezuelan equine encephalitis virus. Importantly, certain spirodioxolane analogs, such as 6b, maintained activity against viral mutants that displayed resistance to first-generation oxaspiropiperidine inhibitors, indicating their potential for optimization as a new class of broad-spectrum antialphaviral drugs.

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)0.000
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 score0.016
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.264
Teacher spread0.260 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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