Protein Structural Analysis of Calbindin D<sub>28k</sub> Function and Dysregulation: Potential Competition Between Ca<sup>2+</sup> and Zn<sup>2+</sup>
Bibliographic record
Abstract
Calcium homeostasis is an essential physiological process requiring tight control in the normal cell. The dysregulation of calcium homeostasis may play a key role in the onset of Alzheimer's disease (AD) and other disorders, whether through the loss of calcium binding or calcium sensing capacity. Calbindin D28k (CB-D28k), a calcium binding protein composed of six EF-hands, four of which can bind Ca(2+), has been implicated in AD-related calcium dysregulation. In this study, docking and molecular dynamics calculations were employed to refine the protein data base model in order to understand the underlying structural variations between functional and non-functional EF-hands. Molecular modeling calculations improved the modelled protein structure: helix-loop-helix sequences were formed in all hands and most canonical interactions were formed in the four functional hands. The protein can also bind Zn(2+), potentially altering the Ca(2+) binding capability. Analysis of calculated structures of Zn(2+) bound protein showed that only half of the correct EF-hand canonical interactions of Ca(2+) were formed with loop residues. These results have important implications for the understanding of calcium dysregulation as well as for the development of novel therapeutic strategies in AD and other central nervous system disease processes, or in conditions of brain injury where calcium homeostasis is compromised.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".