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Record W2137110320 · doi:10.2174/138955707779802642

Cytotoxic Thiol Alkylators

2007· review· en· W2137110320 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMini-Reviews in Medicinal Chemistry · 2007
Typereview
Languageen
FieldChemistry
TopicSynthesis and Reactivity of Sulfur-Containing Compounds
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsCytotoxic T cellThiolChemistryBiologyComputational biologyCell biologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Various classes of cytotoxic compounds which alkylate cellular thiols are described namely α, β-unsaturated ketones, α-methylene-γ -lactones, azines of Mannich bases, imexon, isothiocyanates, a benzoacronycine as well as activation by thiols prior to alkylation. The mechanisms of action of some of the molecules, such as the formation of reactive oxygen species, are presented. The cytotoxicity of a number of drugs can be influenced by modulation of the concentration of thiols including the observation that potencies can be increased by thiol activation. The ability of certain thiol reagents to reverse multidrug resistance as well as some miscellaneous actions of thiol alkylators are described. Keywords: Thiols, alkylating agents, α,β-unsaturated ketones, αmethylene-γ-lactones, azines, imexon, isothiocyanates, benzoacronycine, tumour sensitization, 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.090
GPT teacher head0.365
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