Peptide Inhibitors Use Two Related Mechanisms To Alter the Apparent Calcium Affinity of the Sarcoplasmic Reticulum Calcium Pump
Bibliographic record
Abstract
The primary sequence of phospholamban (PLB) has provided a template for the rational design of peptide inhibitors of the sarcoplasmic reticulum calcium ATPase (SERCA). In the transmembrane domain of PLB, there are few polar residues and only one is essential (Asn (34)). Using synthetic peptides, we have previously investigated the role of Asn (34) in the context of simple hydrophobic transmembrane peptides. Herein we propose that the role of Asn in SERCA inhibition is position-sensitive and dependent upon the distribution of hydrophobic residues. To test this hypothesis, we synthesized a series of transmembrane peptides based on a 24 amino acid polyalanine sequence having either an alternating Leu-Ala sequence (Leu 12) or Leu residues at the native positions found in PLB (Leu 9). Asn-containing Leu 9 and Leu 12 peptides were synthesized with a single Asn residue located either one amino acid (N+/-1) or one turn of the helix (N+/-4) in either direction from its native position. Co-reconstitution of these peptides with SERCA into proteoliposomes revealed effects on the apparent calcium affinity and cooperativity of SERCA that correlated with the positions of the Asn and Leu residues. The most inhibitory peptides increased the cooperativity of SERCA as indicated by the Hill coefficients, suggesting that calcium-dependent reversibility is an inherent part of the inhibitory mechanism. Kinetic simulations combined with molecular modeling of the interaction between the peptides and SERCA reveal two related mechanisms of inhibition. Peptides that resemble PLB use the same inhibitory mechanism, whereas peptides that are more divergent from PLB alter an additional step in the calcium transport cycle.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".