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Record W2049832374 · doi:10.2174/1568011043482197

Reversing Agents for ATP-Binding Cassette (ABC) Transporters: Application in Modulating Multidrug Resistance (MDR)

2004· review· en· W2049832374 on OpenAlexaff
Chow Lee

Bibliographic record

VenueCurrent Medicinal Chemistry - Anti-Cancer Agents · 2004
Typereview
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsATP-binding cassette transporterMultiple drug resistanceAbcg2ReversingTransporterP-glycoproteinPhenotypeBiologyMembrane proteinMultidrug Resistance-Associated ProteinsDrug resistancePharmacologyGeneBiochemistryGeneticsMembrane

Abstract

fetched live from OpenAlex

One of the main reasons for the failure in cancer chemotherapy is the existence of multidrug resistance (MDR) mechanisms. One form of MDR phenotype is contributed by a group of plasma membrane proteins that belong to a large superfamily of proteins called the ATP-binding cassette (ABC) transporters. There has been intense search for compounds, which can act at reversing MDR phenotype exhibited by ABC transporters such as P-glycoprotein (P-gp), multidrug-resistance protein (MRP) and breast cancer resistance protein (BCRP). Reversing agents can be designed to target MDR-associated ABC transporters at three levels - the protein, mRNA or DNA level. This review aims at describing, over-viewing and discussing currently known MDR reversing agents, which have been shown to act at either of the three levels against ABC transporters. Other potential agents and strategies, which can be used to reverse the MDR phenotype, are also discussed.

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 score0.014

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.088
GPT teacher head0.397
Teacher spread0.309 · 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

Citations52
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Medicinal Chemistry - Anti-Cancer AgentsSame topicDrug Transport and Resistance MechanismsFrench-language works237,207