Role of Hydration in the Closed-to-Open Transition Involved in Ca<sup>2+</sup> Binding by Troponin C
Bibliographic record
Abstract
Troponin C (TnC) is the Ca(2+)-binding subunit of the troponin complex of vertebrate skeletal muscle. It consists of two structurally homologous domains, N and C, connected by an exposed alpha-helix. The C-domain has two high-affinity sites for Ca(2+) that also bind Mg(2+), whereas the N-domain has two low-affinity sites for Ca(2+). Previous studies using isolated N- and C-domains showed that the C-domain apo form was less stable than the N-domain. Here we analyzed the stability of isolated N-domain (F29W/N-domain) against urea and pressure denaturation in the absence and in the presence of glycerol using fluorescence spectroscopy. Increasing the glycerol concentration promoted an increase in the stability of the protein to urea (0-8 M) in the absence of Ca(2+). Furthermore, the ability to expose hydrophobic surfaces normally promoted by Ca(2+) binding or low temperature under pressure was partially lost in the presence of 20% (v/v) glycerol. Glycerol also led to a decrease in the Ca(2+) affinity of the N-domain in solution. From the ln K(obs) versus ln a(H)2(O), we obtained the number of water molecules (63.5 +/- 8.7) involved in the transition N <=>N:Ca(2) that corresponds to an increase in the exposed surface area of 571.5 +/- 78.3 A(2). In skinned fibers, the affinity for Ca(2+) was also reduced by glycerol, although the effect was much less pronounced than in solution. Our results demonstrate quantitatively that the stability of this protein and its affinity for Ca(2+) are critically dependent on protein hydration.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".