Permanent Activation of the Human P-glycoprotein by Covalent Modification of a Residue in the Drug-binding Site
Bibliographic record
Abstract
The human multidrug resistance P-glycoprotein (ABCB1) transports a broad range of structurally diverse compounds out of the cell. The transport cycle involves coupling of drug binding in the transmembrane domains with ATP hydrolysis. Compounds such as verapamil stimulate ATPase activity. We used cysteine-scanning mutagenesis of the transmembrane segments and reaction with the thiol-reactive substrate analog of verapamil, methanethiosulfonate (MTS)-verapamil, to test whether it caused permanent activation of ATP hydrolysis. Here we report that one mutant, I306C(TM5) showed increased ATPase activity (8-fold higher than untreated) when treated with MTS-verapamil and isolated by nickel-chelate chromatography. Drug substrates that either enhance (calcein acetoxymethyl ester, demecolcine, and vinblastine) or inhibit (cyclosporin A and trans-(E)-flupentixol) ATPase activity of Cys-less or untreated mutant I306C P-glycoprotein did not affect the activity of MTS-verapamil-treated mutant I306C. Addition of dithiothreitol released the covalently attached verapamil, and ATPase activity returned to basal levels. Pretreatment with substrates such as cyclosporin A, demecolcine, verapamil, vinblastine, or colchicine prevented activation of mutant I306C by MTS-verapamil. The results suggest that MTS-verapamil reacts with I306C in a common drug-binding site. Covalent modification of I306C affects the long range linkage between the drug-binding site and the distal ATP-binding sites. This results in the permanent activation of ATP hydrolysis in the absence of transport. Trapping mutant I306C in a permanently activated state indicates that Ile-306 may be part of the signal to switch on ATP hydrolysis when the drug-binding site is occupied.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".