NMR structure of the cNTnC-cTnI chimera bound to calcium desensitizer W7
Bibliographic record
Abstract
Compounds that directly modulate the affinity of the thin filament calcium regulatory proteins in cardiac muscle have potential for treating heart disease. A recent "proof of concept" study showed that the desensitizer W7 can correct hyper-calcium-sensitive sarcomeres from RCM R193H inhibitory subunit troponin I (cTnI) transgenic mice. We have determined the high-resolution nuclear magnetic resonance solution structure of W7 bound to the regulatory domain of calcium binding subunit troponin C (cNTnC)-cTnI cChimera designed to represent the key aspects of the cTnC-cTnI interface. The structure shows that W7 does not perturb the overall structure of the cTnC-cTnI interface, with the helical structure and position of the cTnI switch region remaining intact upon W7 binding. The naphthalene ring of W7 sits in the hydrophobic pocket created by the cNTnC-cTnI switch peptide interface, while the positively charged amine tail extends into the solvent. The positively charged tail of W7 is in the proximity of Arg147 of the cTnI switch region, supporting the suggestion that electrostatic repulsion is an aspect underlying the mechanism of desensitization. Ser84 (replacing the unique Cys84 in cTnC reported to make a reversible covalent bond with levosimendan) also contacts W7.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".