ATP-binding cassette (ABC) transporter proteins, multidrug resistance, and novel flavonoid dimers as potent, nontoxic, and selective inhibitors
Bibliographic record
Abstract
Multidrug resistance (MDR) is often a major impediment to successful chemotherapy in the treatment of cancer. A common mechanism for MDR is the overexpression of an active ATP-binding cassette (ABC) transporter protein, P-glycoprotein (P-gp/ABCB1, also known as MDR1), multidrug resistance protein 1 (MRP1/ABCC1), or breast cancer resistant protein (BCRP/ABCG2), on the plasma membrane of cancer cells. These transporters can pump many structurally diverse anticancer drugs out of the cancer cells and render these drugs ineffective at a therapeutic dosage, i.e., multidrug resistance. Coadministration of a potent ABC transporter inhibitor with an anticancer drug has been evaluated in several clinical trials to overcome MDR but has led to a disappointing outcome. By taking advantage of the pseudo-dimeric structure of ABC transporters, we demonstrated that some flavonoid dimers, using polyvalent interactions, can be potent inhibitors of ABC transporters. Selective inhibition of the three different transporters with flavonoid dimers can be achieved by placing the two flavonoid moieties at an optimal distance apart specific for each transporter. In addition to being potent and selective inhibitors of the transporters, flavonoid dimers are found to be nontoxic to normal cells at their corresponding effective concentrations. The in vivo efficacy of flavonoid dimers was demonstrated. Further investigation of these flavonoid dimers as clinical candidates to overcome MDR in cancer chemotherapy is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".