Vanadate trapping of nucleotide at the ATP-binding sites of human multidrug resistance P-glycoprotein exposes different residues to the drug-binding site
Bibliographic record
Abstract
The human multidrug resistance P-glycoprotein uses ATP to transport a wide variety of structurally unrelated cytotoxic compounds out of the cell. In this study, we used cysteine-scanning mutagenesis and cross-linking studies to identify residues that are exposed to the drug-binding site upon vanadate trapping. In the absence of nucleotides, C222(TM4) was cross-linked to C868(TM10) and C872(TM10); C306(TM5) was cross-linked to C868(TM10), C872(TM10), C945(TM11), C982(TM12), and C984(TM12); and C339(TM6) was cross-linked to C868(TM10), C872(TM10), C942(TM11), C982(TM12), and C985(TM12). These cysteines are in the middle of the predicted transmembrane (TM) segments and form the drug-binding site. Cross-linking between 332C(TM6) and cysteines introduced at the extracellular side of other TM segments was also done. In the absence of nucleotides, residues 332C and 856C on the extracellular side of TMs 6 and 10, respectively, were cross-linked with a 13-A cross-linker (M8M, 3,6-dioxaoctane-1,8-diyl bismethanethiosulfonate). ATP plus vanadate inhibited cross-linking between 332C(TM6) and 856C(TM10) as well as those in the drug-binding site. Instead, vanadate trapping promoted cross-linking between 332C(TM6) and 976C(TM12) with a 10-A cross-linker (M6M, 1,6-hexanediyl bismethanethiosulfonate). When ATP hydrolysis was allowed to proceed, then 332C(TM12) could form a disulfide bond with 975C(TM12). The cross-linking pattern of 332C(TM6) with residues in TM10 and TM12 indicates that the drug-binding site undergoes dynamic and relatively large conformational changes, and that different residues are exposed to the drug-binding site during the resting phase, upon vanadate trapping and at the completion of the catalytic cycle.
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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".