The role of proline in the membrane re‐entrant helix of caveolin‐1
Bibliographic record
Abstract
Caveolin‐1 (Cav1) has a segment of hydrophobic amino acids comprising approximately residues 103 to 122. We have performed an in silico analysis of the conformational preference of this segment of Cav1 using PepLook. We find that there is one main group of stable conformations corresponding to a hydrophobic U bent model that would not traverse the membrane. Furthermore, the calculations predict that substituting the Pro 110 residue with an Ala will change the conformation to a straight hydrophobic helix that would traverse the membrane. We have expressed the FLAG‐tagged P110A mutant of Cav1 in HEK 293 cells. We find that this mutation causes a large reduction of endocytosis of caveolae. We also evaluate the topology of the proteins with confocal immunofluorescence microscopy. The cells expressing Cav1 show that the hydrophobic segment of this protein is not transmembrane but takes up a bent conformation, making the protein monotopic. In contrast, the FLAG‐tagged P110A mutant is equally exposed to antibodies, before and after membrane permeabilization. Thus, the single Pro residue in the membrane‐inserting segment of Cav1 plays an important role in both the membrane topology of the protein as well as its function in the endocytosis of caveolin. (Supported by Canadian Post‐Doctoral Research Fellowships 2008–09 and by the Natural Sciences and Engineering Research Council of Canada, grant 9848)
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 | 0.000 |
| 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".