The Drug-Binding Pocket of the Human Multidrug Resistance P-Glycoprotein Is Accessible to the Aqueous Medium
Bibliographic record
Abstract
P-Glycoprotein (P-gp) is an ATP-dependent drug pump that transports a broad range of compounds out of the cell. Cross-linking studies have shown that the drug-binding pocket is at the interface between the transmembrane (TM) domains and can simultaneously bind two different drug substrates. Here, we determined whether cysteine residues within the drug-binding pocket were accessible to the aqueous medium. Cysteine mutants were tested for their reactivity with the charged thiol-reactive compounds sodium (2-sulfonatoethyl)methanethiosulfonate (MTSES) and [2-(trimethylammonium)ethyl)]methanethiosulfonate (MTSET). Residue Ile-306(TM5) is close to the verapamil-binding site. It was changed to cysteine, reacted with MTSES or MTSET, and assayed for verapamil-stimulated ATPase activity. Reaction of mutant I306C(TM5) with either compound reduced its affinity for verapamil. We confirmed that the reduced affinity for verapamil was indeed due to introduction of a charge at position 306 by demonstrating that similar effects were observed when Ile-306 was replaced with arginine or glutamic acid. Mutant I306R showed a 50-fold reduction in affinity for verapamil and very little change in the affinity for rhodamine B or colchicine. MTSES or MTSET modification also affected the cross-linking pattern between pairs of cysteines in the drug-binding pocket. For example, both MTSES and MTSET inhibited cross-linking between I306C(TM5) and I868C(TM10). Inhibition was enhanced by ATP hydrolysis. By contrast, cross-linking of cysteine residues located outside the drug-binding pocket (such as G300C(TM5)/F770C(TM8)) was not affected by MTSES or MTSET. These results indicate that the drug-binding pocket is accessible to water.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".