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Record W4414414799 · doi:10.1021/acs.jmedchem.5c01291

<i>p</i>-Alkoxy-Substituted Anisomycins with Potent Anti-Trypanosomiasis Activity and Expanded Modes of Action

2025· article· en· W4414414799 on OpenAlexafffund
Kajumee Bora Bhowal, Anh Minh Thao Nguyen, Ana Victoria Ibarra‐Meneses, Andressa Brito Lira, K. Shanmugha Rajan, Jesús D. Castaño, Francis Beaudry, A. Bashan, Christopher Fernandez‐Prada, Martin Olivier, Ada Yonath, William D. Lubell

Bibliographic record

VenueJournal of Medicinal Chemistry · 2025
Typearticle
Languageen
FieldChemistry
TopicSynthesis and Biological Evaluation
Canadian institutionsMcGill UniversityMcGill University Health CentreUniversité de MontréalUniversité du Québec à Montréal
FundersFonds de recherche du Québec – Nature et technologiesCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsAnisomycinAntiparasiticPeptidyl transferaseMode of actionRibosomeProdrug

Abstract

fetched live from OpenAlex

Neglected tropical diseases caused by trypanosomatid parasites present a major public healthcare issue, partly due to emerging resistance. Attachment of ω-alkynyl chains characteristic of the lipid tails of antiparasitic peptides to the p -position of anisomycin gave ethers exhibiting potent activity, rivalling that of the parent ribosomal inhibitor, especially against resistant Leishmania strains. Single-particle cryoelectron microscopy analysis revealed that O -propargyl anisomycin binds to the highly conserved peptidyl transferase center of the ribosome similar to the parent inhibitor. Thermal proteomic profiling and gene ontology analysis demonstrated that O -propargyl anisomycin exhibited a broader mode of action, including activity against glycosome-associated proteins. Alkynyl substituents improved antiparasitic activity against resistant strains, likely by enlarging the mode of action, offering a novel path toward therapy against trypanosomatid infections.

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 score0.024
Threshold uncertainty score0.393

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 head0.024
GPT teacher head0.286
Teacher spread0.261 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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