Discriminating Lipid– from Protein–Calcium Binding To Understand the Interaction between Recoverin and Phosphatidylglycerol Model Membranes
Bibliographic record
Abstract
Recoverin is a protein involved in the phototransduction cascade by regulating the activity of rhodopsin kinase through a calcium-dependent binding process at the surface of rod outer segment disk membranes. Understanding how calcium modulates these interactions and how it interacts with anionic lipid membranes is necessary to gain insights into the function of recoverin. In this work, infrared spectroscopy allowed us to show that the availability of calcium to recoverin is modulated by the presence of complexes involving phosphatidylglycerol (PG), which in turn regulates its interactions with this negatively charged lipid. Calcium can indeed be sequestered into strongly bound complexes with PG and is thus sparingly available to recoverin. The thermal stability of recoverin then decreases, which results in weakened interactions with PG. By contrast, when calcium is fully available to recoverin, the protein is thermally stable, indicating that it binds two calcium ions, which results in favorable interactions with negatively charged lipids. Consequently, the protein induces an increase in the chain-melting phase transition temperature of PG, which is indicative of an enhanced lipid chain packing resulting from the peripheral location of the protein. The secondary structure of recoverin is not affected by its interactions with anionic membrane lipids. Similar results have been obtained with saturated and unsaturated anionic lipids. This work shows that the recruitment of recoverin at the surface of anionic lipid membranes is dependent on the availability of calcium.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 teacher head, 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".