Nucleotide Binding, ATP Hydrolysis, and Mutation of the Catalytic Carboxylates of Human P-Glycoprotein Cause Distinct Conformational Changes in the Transmembrane Segments
Bibliographic record
Abstract
P-Glycoprotein (P-gp, ABCB1) transports a variety of structurally unrelated cytotoxic compounds out of the cell. Each homologous half of P-gp has a transmembrane (TM) domain containing six TM segments and a nucleotide-binding domain (NBD) and is joined by a linker region. It has been postulated that binding of two ATP molecules at the NBD interface to form a "nucleotide sandwich" induces drug efflux by altering packing of the TM segments that make up the drug-binding pocket. To test if ATP binding alone could alter packing of the TM segments, we introduced catalytic carboxylate mutations (E556Q in NBD1 and E1201Q in NBD2) into double-cysteine mutants that exhibited ATP-dependent cross-linking so that the mutants could bind but not hydrolyze ATP. It was found that ATP binding alone could alter disulfide cross-linking between the TM segments. For example, ATP inhibited cross-linking of mutant L339C(TM6)/V982C(TM12)/E556Q(NBD1)/E1201Q(NBD2) but promoted cross-linking of mutant F343C(TM6)/V982C(TM12)/E556Q(NBD1)/E1201Q(NBD2). Cross-linking of some mutants, however, appeared to require ATP hydrolysis as introduction of the catalytic carboxylate mutations into mutant L332C(TM6)/L975C(TM12) inhibited ATP-dependent cross-linking. Cross-linking between cysteines in the TM segments also could be altered via introduction of a single catalytic carboxylate mutation into mutant L332C(TM6)/L975C(TM12) or by using the nonhydrolyzable ATP analogue, AMP.PNP. The results show that the TM segments are quite sensitive to changes within the ATP-binding sites because different conformations could be detected in the presence of ATP, AMP.PNP, during ATP hydrolysis or through mutation of the catalytic carboxylates.
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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 | 0.001 | 0.001 |
| 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".