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Record W2010856476 · doi:10.2174/187152013804487263

Cytoskeletal Alterations that Confer Resistance to Anti-tubulin Chemotherapeutics

2012· article· en· W2010856476 on OpenAlexfundno aff
Arun Kanakkanthara, Paul Teesdale‐Spittle, John H. Miller

Bibliographic record

VenueAnti-Cancer Agents in Medicinal Chemistry · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsnot available
FundersWellington Medical Research FoundationCancer Society of New ZealandUniversity of Victoria
KeywordsTubulinMicrotubuleCytoskeletonBiologyCell biologyActinDrug resistanceMicrotubule-associated proteinCellGenetics

Abstract

fetched live from OpenAlex

Drugs that target microtubules are a successful class of anti-cancer agents that have been in clinical use for over two decades. Acquired resistance to these drugs, however, remains a serious problem. Microtubule alterations, such as tubulin mutations and altered β- tubulin isotype expression, are prominent factors in development of resistance. Changes in actin and intermediate filament proteins can also mediate sensitivity to microtubule-targeting drugs. This review focuses on the mechanisms by which alterations in cytoskeletal proteins lead to drug resistance. This information will be helpful for improving the targeting of microtubule toxins.

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 score0.106
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 head0.027
GPT teacher head0.316
Teacher spread0.290 · 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

Citations29
Published2012
Admission routes1
Has abstractyes

Explore more

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