Tryptophan Mutants of Cardiac Troponin C: 3D Structure, Troponin I Affinity, and<i>in Situ</i>Activity<sup>,</sup>
Bibliographic record
Abstract
In situ fluorescence/NMR spectroscopic approaches have been used to elucidate the structure, mobility, and domain orientations of troponin C in striated muscle. This led us to consider complementary approaches such as solid-state NMR spectroscopy. The biophysical properties of tryptophan and Trp-analogues, such as fluorotryptophan or hydroxytryptophan, are often exploited to probe protein structure and dynamics using solid-state NMR or fluorescence spectroscopy. We have characterized Phe-to-Trp mutants in the 'structural' C-domain of cardiac troponin C, designed to immobilize the indole ring in the hydrophobic core of the domain. The mutations and their fluorinated analogues (F104W, F104(5fW), F153W, and F153(5fW)) were shown not to perturb the structural properties of the protein. In this paper, we characterize the mutations F77W and F77W-V82A in the 'regulatory' N-domain of cardiac troponin C. We used NMR to determine the structure and dynamics of the mutant F77W-V82A-cNTnC, which shows a unique orientation of the indole ring. We observed a decrease in calcium binding affinity and a weaker affinity for the switch region of TnI for both mutants. We present force recovery measurements for all of the N- and C-domain mutants reconstituted into skeletal muscle fibers. The F77W mutation leads to a reduction of the in situ force recovery, whereas the C-domain mutants have the same activity as the wild type. These results suggest that the perturbations of the N-domain caused by the Trp mutation disturb the interaction between TnC and TnI, which in turn diminishes the activity in fibers, providing a clear example of the correlation between in vitro protein structures, their interactions, and the resulting in situ physiological activity.
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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 | 0.000 | 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".