Origins of the difference in Ca2+ requirement for activation of μ- and m-calpain
Bibliographic record
Abstract
The mu- and m-calpains are closely related Ca(2+)-dependent cysteine proteases having different in vitro Ca(2+) requirements ( K (d)), of approx. 25 and 325 microM respectively. The two isoforms are heterodimers of slightly different large (80 kDa) subunits and an identical small (28 kDa) subunit, so that the difference in K (d) values must reside in the large subunits. As assayed here, these K (d) values relate to the Ca(2+) required for the first phase of calpain activation and do not reflect the lower Ca(2+) then required by fully activated calpain. On the basis of sequence comparison and the X-ray structure of m-calpain, many m-type residues in the C-terminal EF-hand-containing domain IV were converted into the corresponding mu-type residues, but these mutations did not produce the expected decrease in K (d). In a series of hybrid (mu/m) large-subunit calpains, the K (d) values decreased progressively towards that of mu-calpain as the proportion of mu-type sequence increased from 0 to 90%. K (d) values cannot therefore be ascribed to one or a few specific intramolecular interactions, but reflect the global response of the whole molecule to Ca(2+) binding. Nonetheless, 25% of the difference in K (d) values between mu- and m-calpain can be ascribed to the N-terminal peptide of the large subunit, whereas the C-terminal EF-hand-containing domain IV accounts for 65% of the difference.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".