MétaCan
Menu
Back to cohort
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 OpenAlex
Chow Lee

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 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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.777
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
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 head0.088
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