MétaCan
Menu
Back to cohort
Record W2107311492 · doi:10.1039/c2ob25744k

Fluorine- and rhenium-containing geldanamycin derivatives as leads for the development of molecular probes for imaging Hsp90

2012· article· en· W2107311492 on OpenAlexaff
Frank Wuest, Vincent Bouvet, BaoChan Mai, Paul LaPointe

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeldanamycinHsp90ChemistryHeat shock proteinRheniumHsp90 inhibitorIn vivoIn vitroBiochemistryBiophysicsOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Heat shock protein 90 (Hsp90) is an ATP-dependent molecular chaperone responsible for protein quality control in cells. Hsp90 has been shown to be overexpressed in many human cancers. This has prompted extensive research on Hsp90 inhibitors as novel anticancer agents and, more recently, the development of molecular probes for imaging Hsp90 expression in vivo. This work describes the development of various fluorine-containing and rhenium-containing geldanamycin derivatives as leads for the development of corresponding (18)F-labeled and (99m)Tc-labeled PET and SPECT probes for molecular imaging of Hsp90 expression. All compounds were evaluated in an in vitro ATPase activity assay using Hsp90 isoform Hsp82p. Fluorobenzoylated geldanamycin derivative 5 displayed comparable inhibitory potency like parent compound geldanamycin.

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 score0.002

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 head0.013
GPT teacher head0.289
Teacher spread0.276 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueOrganic & Biomolecular ChemistrySame topicHeat shock proteins researchFrench-language works237,207