S100–annexin complexes – structural insights
Bibliographic record
Abstract
Annexins and S100 proteins represent two large, but distinct, calcium-binding protein families. Annexins are made up of a highly alpha-helical core domain that binds calcium ions, allowing them to interact with phospholipid membranes. Furthermore, some annexins, such as annexins A1 and A2, contain an N-terminal region that is expelled from the core domain on calcium binding. These events allow for the interaction of the annexin N-terminus with target proteins, such as S100. In addition, when an S100 protein binds calcium ions, it undergoes a structural reorientation of its helices, exposing a hydrophobic patch capable of interacting with its targets, including the N-terminal sequences of annexins. Structural studies of the complexes between members of these two families have revealed valuable details regarding the mechanisms of the interactions, including the binding surfaces and conformation of the annexin N-terminus. However, other S100-annexin interactions, such as those between S100A11 and annexin A6, or between dicalcin and annexins A1, A2 and A5, appear to be more complicated, involving the annexin core region, perhaps in concert with the N-terminus. The diversity of these interactions indicates that multiple forms of recognition exist between S100 proteins and annexins. S100-annexin interactions have been suggested to play a role in membrane fusion events by the bridging together of two annexin proteins, bound to phospholipid membranes, by an S100 protein. The structures and differential interactions of S100-annexin complexes may indicate that this process has several possible modes of protein-protein recognition.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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".