Roles of individual EF-hands in the activation of m-calpain by calcium
Bibliographic record
Abstract
m-Calpain is a heterodimeric, cytosolic, thiol protease, which is activated by Ca(2+)-binding to EF-hands in the C-terminal domains of both subunits. There are four potential Ca(2+)-binding EF-hands in each subunit, but their relative affinities for Ca(2+) are not known. In the present study mutations were made in both subunits to reduce the Ca(2+)-binding affinity at one or more EF-hands in one or both subunits. X-ray crystallography of some of the mutated small subunits showed that Ca(2+) did not bind to the mutated EF-hands, but that its binding at other sites was not affected. The structures of the mutant small subunits in the presence of Ca(2+) were otherwise identical to that of the Ca(2+)-bound wild-type small subunit. In the whole enzyme the wild-type macroscopic Ca(2+) requirement (K(d)) was approx. 350 microM. The mutations did not affect the maximum specific activity of the enzyme, but caused increases in K(d), which were characteristic of each site. All the EF-hands could be mutated in various combinations without loss of activity, but preservation of at least one wild-type EF-hand 3 sequence was required to maintain K(d) values lower than 1 mM. The results suggest that all the EF-hands can contribute co-operatively to calpain activation, but that EF-hand 3, in both subunits, has the highest intrinsic affinity for Ca(2+) and provides the major driving force for conformational change.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".