Characterization of an Asymmetric Occluded State of P-glycoprotein with Two Bound Nucleotides
Bibliographic record
Abstract
P-glycoprotein (ABCB1), a member of the ABC superfamily, functions as an ATP-driven multidrug efflux pump. The catalytic cycle of ABC proteins is believed to involve formation of a sandwich dimer in which two ATP molecules are bound at the interface of the nucleotide binding domains (NBDs). However, such dimers have only been observed in isolated NBD subunits and catalytically arrested mutants, and it is still not understood how ATP hydrolysis is coordinated between the two NBDs. We report for the first time the characterization of an asymmetric state of catalytically active native P-glycoprotein with two bound molecules of adenosine 5'-(gamma-thio)triphosphate (ATPgammaS), one of low affinity (K(d) 0.74 mm), and one "occluded" nucleotide of 120-fold higher affinity (K(d) 6 microm). ATPgammaS also interacts with P-glycoprotein with high affinity as assessed by inhibition of ATP hydrolysis and protection from covalent labeling of a Walker A Cys residue, whereas other non-hydrolyzable ATP analogues do not. Binding of ATPgammaS (but not ATP) causes Trp residue heterogeneity, as indicated by collisional quenching, suggesting that it may induce conformational asymmetry. Asymmetric ATPgammaS-bound P-glycoprotein does not display reduced binding affinity for drugs, implying that transport is not driven by ATP binding and likely takes place at a later stage of the catalytic cycle. We propose that this asymmetric state with two bound nucleotides represents the next intermediate on the path toward ATP hydrolysis after nucleotide binding, and an alternating sites mode of action is achieved by simultaneous switching of the two active sites between high and low affinity states.
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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) | 0.000 | 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".