Rational Design of Peptide Inhibitors of the Sarcoplasmic Reticulum Calcium Pump
Bibliographic record
Abstract
The sequence of phospholamban (PLB) is practically invariant among mammalian species. The hydrophobic transmembrane domain has 10 leucine and 8 isoleucine residues. Two roles have been proposed for the leucines; one subset stabilizes PLB oligomers, while a second subset physically interacts with SERCA. On the basis of the sequence of the PLB transmembrane domain, we chemically synthesized a series of peptides and tested their ability to regulate SERCA in reconstituted membranes. In all, eight peptides were studied: a peptide corresponding to the null-cysteine transmembrane domain of PLB (TM-Ala-PLB), two polyleucine peptides (Leu18 and Leu24), polyalanine peptides containing 4, 7, and 12 leucine residues (Leu4, Leu7, and Leu12, respectively), and a polyalanine peptide containing the 9 leucine residues present in the transmembrane domain of PLB with and without the essential Asn34 residue (Asn1Leu9 and Leu9, respectively). With the exception of Leu18, co-reconstitution of the peptides revealed effects on the apparent calcium affinity of SERCA. The TM-Ala-PLB peptide possessed approximately 70% of the inhibitory function of wild-type PLB. The remaining peptides exhibited significant inhibitory activity decreasing in the following order: Leu12, Leu9, Leu24, Leu7, and Leu4. Replacing Asn34 of PLB in the Leu9 peptide resulted in superinhibition of SERCA. On the basis of these observations, we conclude that a partial requirement for SERCA inhibition is met by a simple hydrophobic surface on a transmembrane alpha-helix. In addition, the superinhibition observed for the Asn34-containing peptide suggests that the model peptides mimic the inhibitory properties of PLB. A model is presented in which surface complementarity around key amino acid positions is enhanced in the interaction with SERCA.
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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".