Amphipathic Helices as Mediators of the Membrane Interaction of Amphitropic Proteins, and as Modulators of Bilayer Physical Properties
Bibliographic record
Abstract
The amphipathic helix (AH) motif is used by a subset of amphitropic proteins to accomplish reversible and controlled association with the interfacial zone of membranes. Functioning as more than mere membrane anchoring domains, amphipathic helices can serve as autoinhibitory domains to suppress the protein activity in its soluble form, and as sensors or modulators of membrane curvature. Thus amphipathic helices can both respond to and modulate membrane physical properties. These and other features are illustrated by the behavior of CTP: phosphocholine cytidylyltransferase (CCT), a key regulatory enzyme in PC synthesis. A comparison of the physico-chemical features of CCT's AH motif and 10 others reveals similarities and several differences. The importance of these parameters to the particulars of the membrane interaction and to functional consequences requires more systematic exploration. The membrane partitioning of amphitropic proteins with AH motifs can be regulated by various strategies including changes in membrane lipid composition, phosphorylation, ligand-induced conformational changes, and membrane curvature. Several amphitropic proteins that control budding or tubule formation in cells have AH motifs. The insertion of the hydrophobic face of these amphipathic helices generates an asymmetry in the lateral pressure of the two leaflets resulting in an induction of positive curvature. Curvature induction or stabilization may be a universal property of AHA proteins, not just those involved in budding, but this possibility requires further demonstration.
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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".