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Record W2022326366 · doi:10.1371/journal.ppat.1000471

Hsp90 Orchestrates Stress Response Signaling Governing Fungal Drug Resistance

2009· article· en· W2022326366 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

VenuePLoS Pathogens · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDrug resistanceHsp90DrugBiologyAntifungal drugFungicideAntifungalPopulationDrug discoveryFungal diseaseAntifungal drugsResistance (ecology)DiseaseMicrobiologyPharmacologyBioinformaticsGeneticsHeat shock proteinMedicineEcologyGene

Abstract

fetched live from OpenAlex

The emergence of drug resistance in microbial pathogens provides a poignant example of an evolutionary process with a profound impact on human health. Fungal drug resistance poses a particular concern given the limited number of clinically useful antifungal drugs and the growing population of immunocompromised individuals vulnerable to life-threatening fungal disease The efficacy of most antifungal drugs is compromised either by host toxicity, fungistatic rather than fungicidal activity, or by the emergence of drug resistance. Recent studies have revealed that compromising the function of the molecular chaperone Hsp90 can render resistant pathogens more responsive to treatment and can thwart the evolution of fungal drug resistance

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)0.001
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.018
GPT teacher head0.269
Teacher spread0.251 · 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