MétaCan
Menu
Back to cohort
Record W2146460215 · doi:10.1248/cpb.55.511

.ALPHA.-Substituted 1-Aryl-3-dimethylaminopropanone Hydrochlorides: Potent Cytotoxins towards Human WiDr Colon Cancer Cells

2007· article· en· W2146460215 on OpenAlexaff
Hari N. Pati, Umashankar Das, Irving Javier Ramirez‐Erosa, Donna M. Dunlop, Robert A. Hickie, Jonathan R. Dimmock

Bibliographic record

VenueChemical and Pharmaceutical Bulletin · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer therapeutics and mechanisms
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChemistryDimethylamineHydrochlorideArylAdductCytotoxicityStereochemistryPotencyIC50Tertiary amineMedicinal chemistryIn vitroOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

A series of 1-aryl-2-dimethylaminomethyl-2-propenone hydrochlorides 1 were prepared which possessed IC(50) values of less than 10 microM when examined towards human WiDr colon cancer cells. The related 1-aryl-2-dimethylaminomethyl-3-hydroxypropanone hydrochlorides 2, formed by hydration of the analogs in series 1, also had IC(50) values in the low micromolar range. On the other hand, conversion of 2-dimethylaminomethyl-1-(4-nitrophenyl)-2-propenone hydrochloride 1c into the corresponding 2-mercaptoethanol of adduct 3c led to a 37-fold reduction in potency. Two thirds of the compounds prepared in this study were more potent than a reference drug cisplatin while one third of these molecules displayed greater cytotoxicity to the WiDr cells than human CRL-2522 fibroblasts. A stability study of the 4-nitrophenyl analog in each of the series 1-3 in deuterium oxide was undertaken. In the case of 1c, replacement of the dimethylamino hydrochloride group by a hydroxy function was noted while in series 2, the loss of both water and dimethylamine hydrochloride gave rise to a mixture of two enones. The mercaptoethanol adduct 3c underwent deamination. The data obtained provide guidelines for amplifying the project in the future.

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 categoriesMeta-epidemiology (narrow)
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 score0.208
Threshold uncertainty score1.000

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 head0.021
GPT teacher head0.318
Teacher spread0.296 · 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.

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

Citations15
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueChemical and Pharmaceutical BulletinSame topicCancer therapeutics and mechanismsFrench-language works237,207