Drug-stimulated ATPase Activity of Human P-glycoprotein Is Blocked by Disulfide Cross-linking between the Nucleotide-binding Sites
Bibliographic record
Abstract
P-glycoprotein (P-gp) is an ATP-dependent drug pump that contains two nucleotide-binding domains (NBDs). Disulfide cross-linking analysis was done to determine if the two NBDs are close to each other. Residues within or close to the Walker A (GNSGCGKS in NDB1 and GSSGCGKS in NBD2) sequences for nucleotide binding were replaced with cysteine, and the mutant P-gps were subjected to oxidative cross-linking. Cross-linking was detected in two mutants, G427C(NBD1)/Cys-1074(NBD2) and L439C(NBD1)/Cys-1074(NBD2), because the cross-linked proteins migrated slower in SDS gels. Mutants G427C(NBD1)/Cys-1074(NBD2) and L439C(NBD1)/Cys-1074(NBD2) retained 10% and 82%, respectively, of the drug-stimulated ATPase activity relative to that of Cys-less P-gp. The cross-linking properties of the more active mutant L439C(NBD1)/Cys-1074(NBD2) were then studied. Cross-linking was reversed by addition of dithiothreitol and could be prevented by pretreatment of the mutant with N-ethylmaleimide. Cross-linking was also inhibited by MgATP, but not by the verapamil. Oxidative cross-linking of mutant L439C(NBD1)/Cys-1074(NBD2) resulted in almost complete inhibition of drug-stimulated ATPase activity. More than 60% of the drug-stimulated ATPase activity, however, was recovered after treatment with dithiothreitol. The results indicate that the two predicted nucleotide-binding sites are close to each other and that cross-linking inhibits ATP hydrolysis.
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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".