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Novel Colchicine Derivatives and their Anti-cancer Activity

2017· review· en· W2586156640 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

VenueCurrent Topics in Medicinal Chemistry · 2017
Typereview
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPharmacophoreColchicineTubulinCancerCancer cell linesCancer cellComputational biologyChemistryCancer researchBiologyBiochemistryPharmacologyMicrotubuleCell biologyGenetics

Abstract

fetched live from OpenAlex

In this paper we provide an overview of the status of various colchicine derivatives in preclinical development with special focus on their anti-cancer activity. We discuss several groups of compounds that have been designed to differentially bind with specific affinities for tubulin β isotypes, especially in regard to βIII, which is commonly over-expressed in cancer. Computational prediction, protein-based and cell-based assays are summarized as well as some animal tests conducted on these compounds. It is concluded that an untapped potential exists for exploiting the colchicine scaffold as a pharmacophore with the possibility of increasing its affinity for tubulin isotypes overexpressed in cancer and decreasing it for normal cells thereby widening the therapeutic window.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.231
GPT teacher head0.420
Teacher spread0.189 · 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