Recent Advances in Understanding the Structure and Function Relationship of Multidrug Resistance-Linked ABC Transporter P-glycoprotein
Bibliographic record
Abstract
Mammalian P-glycoproteins (P-gp) are members of the broad family of ABC transporters and play important physiological roles in establishing physical barriers that limit access of toxic compounds and thus in the pharmacokinetics of these compounds. Cancer cells exploit the presence of P-gp to fend off anti-cancer drugs, rendering them multidrug resistant (MDR). Structural investigations of P-gp involve the expression and isolation of this large integral membrane protein in high quality and in sufficient quantity for it to be amenable to electron microscopic (EM) and crystallographic studies. EM studies have defined the shape of the molecule and delineated its various conformations in solution but major breakthrough in obtaining atomic resolution structures of P-gp were accomplished by X-ray crystallography. Structures with increasing resolution and accuracy in various substrate and inhibitor bound forms are available for analysis and novel mechanistic insights have been obtained. These advances have paved the way for future research to further our understanding of the mechanism of P-gp function and development of potential inhibitors that may reverse MDR in cancer treatment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".