Probing nucleotide-binding effects on backbone dynamics and folding of the nucleotide-binding domain of the sarcoplasmic/endoplasmic-reticulum Ca2+-ATPase
Bibliographic record
Abstract
In muscle cells, SERCA (sarcoplasmic/endoplasmic-reticulum Ca2+-ATPase) plays a key role in restoring cytoplasmic Ca2+ levels to resting concentrations after transient surges caused by excitation-coupling cycles. The mechanism by which Ca2+ is translocated to the lumen of the ER (endoplasmic reticulum) involves major conformational rearrangements among the three cytoplasmic domains: actuator (A), nucleotide-binding (N) and phosphorylation (P) domains; and within the transmembrane Ca2+-binding domain of SERCA. CD, fluorescence spectroscopy and NMR spectroscopy were used in the present study to probe the conformation and stability of the isolated N domain of SERCA (SERCA-N), in the presence and absence of AMP-PNP (adenosine 5'-[beta,gamma-imido]triphosphate). CD and tryptophan fluorescence spectroscopy results established that the effects of nucleotide binding were not readily manifested on the global fold and structural stability of SERCA-N. 15N-backbone-relaxation experiments revealed site-specific changes in backbone dynamics that converge on the central beta-sheet domain. Nucleotide binding produced diverse effects on dynamics, with enhanced mobility observed for Ile369, Cys420, Arg467, Asp568, Phe593 and Gly598, whereas rigidifying effects were found for Ser383, Leu419, Thr484 and Thr532. These results demonstrate that the overall fold and backbone motional properties of SERCA-N remained essentially the same in the presence of AMP-PNP, yet revealing evidence for internal counter-balancing effects on backbone dynamics upon binding the nucleotide, which propagate through the central beta-sheet.
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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".