ATP Hydrolysis Promotes Interactions between the Extracellular Ends of Transmembrane Segments 1 and 11 of Human Multidrug Resistance P-Glycoprotein
Bibliographic record
Abstract
P-glycoprotein (P-gp, ABCB1) actively pumps a broad range of structurally unrelated cytotoxic compounds out of the cell. It has two homologous halves that are joined by a linker region. Each half has a transmembrane (TM) domain containing six TM segments and a nucleotide-binding domain (NBD). Cross-linking studies have shown that the drug-binding pocket is at the interface between the TM domains. The two NBDs interact to form the ATP-binding sites. Coupling of ATP hydrolysis to drug efflux has been postulated to occur by conversion of the binding pocket from a high-affinity to a low-affinity state through alterations in the packing of the TM segments. TM 11 has also been reported to be important for drug binding. Here, we used cysteine-scanning mutagenesis and oxidative cross-linking to test for changes in the packing of TM 11 during ATP hydrolysis. We generated 350 double cysteine mutants that contained one cysteine at the extracellular end of TM11 and another cysteine at the extracellular ends of TMs 1, 3, 4, 5, or 6. The mutants were expressed in HEK293 cells and treated with oxidant in the absence or presence of ATP. Cross-linked product was not detected in SDS-PAGE gels in the absence of ATP. By contrast, cross-linked product was detected in mutants M68C(TM1)/Y950C(TM11), M68C(TM1)/Y953C(TM11), M68C(TM1)/A954C(TM11), M69C(TM1)/A954C(TM11), and M69C(TM1)/ F957C(TM11) in the presence of ATP but not with ADP or AMP.PNP. These results indicate that rearrangement of TM11 may contribute to the release of drug substrate during 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".