Interaction of LDS-751 and Rhodamine 123 with P-Glycoprotein: Evidence for Simultaneous Binding of Both Drugs
Bibliographic record
Abstract
The P-glycoprotein efflux pump, an ABC superfamily member, can export a wide variety of hydrophobic drugs, natural products, and peptides from cells, powered by the energy of ATP hydrolysis. Transport substrates appear to first partition into the membrane and then interact with the protein within the cytoplasmic leaflet. Two drug binding sites within P-glycoprotein have been described which interact allosterically, the H-site (binds Hoechst 33342) and the R-site (binds rhodamine 123); however, the structural and functional relationship between the various binding sites appears complex. In this work, we have used fluorescence spectroscopic approaches to characterize the interaction of the transporter with LDS-751 and rhodamine 123, both of which are believed to bind to the putative R-site based on functional transport studies. By carrying out single and sequential dual fluorescence titrations of purified P-glycoprotein with the two substrates, we observed that bound LDS-751 interacted with bound rhodamine 123. Rhodamine 123 and LDS-751 showed a reciprocal negative interaction, each reducing the binding affinity of the other by 5-fold, indicating that the two compounds were simultaneously bound to the protein to form a ternary complex. Fitting of the dependence of the apparent Kd for LDS-751 binding on rhodamine 123 concentration suggested that the two compounds interacted noncompetitively. We conclude that the two-site drug binding model for P-glycoprotein requires modification. The putative R-site appears large enough to accommodate two compounds simultaneously. The locations where LDS-751 and rhodamine 123 bind are likely adjacent to each other, possibly overlapping, and may be within a hydrophobic pocket.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".