MétaCan
Menu
Back to cohort
Record W2137110320 · doi:10.2174/138955707779802642

Cytotoxic Thiol Alkylators

2007· review· en· W2137110320 on OpenAlexafffund
Hari N. Pati, Umashankar Das, Rajendra K. Sharma, Jonathan R. Dimmock

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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

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 designNot applicable
Domainnot available
GenreReview

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

Citations74
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueMini-Reviews in Medicinal ChemistrySame topicSynthesis and Reactivity of Sulfur-Containing CompoundsFrench-language works237,207