Relative role(s) of leucine versus isoleucine in the folding of membrane proteins
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Bibliographic record
Abstract
Abstract Large, hydrophobic residues (isoleucine, leucine, and valine) dominate sequences of transmembrane (TM) helices in membrane proteins (total ∼34%), but their relative roles in mediating the biologically relevant protein–lipid and protein–protein interactions have not been systematically evaluated. Here we have synthesized Leu‐containing Lys‐tagged hydrophobic peptides of identical composition, where sequences have been designed with their Leu residues either scrambled (sequence KKKLAASALAAAWLAALALSAAKKK); clustered (KKKAAASAALLLWLLAAAASAAKKK); or “lipopathic” (all Leu on one helical face) (KKKAAASLAALLWALLAAASAAKKK). These peptides were compared by several biophysical/biochemical techniques to the corresponding set of peptides where the Leu residues are replaced by the isosteric Ile residues. Circular dichroism spectra showed that all peptides were helical in POPC liposomes, as confirmed by blue shifts in Trp fluorescence spectra, notably with the Ile‐lipopathic peptide displaying increased Trp burial versus its Leu counterpart. Quenching experiments with a dibromo‐PC lipid indicated deeper membrane penetration of the Ile versus the Leu lipopathic peptide—a result supported by protease degradation assays where Ile peptides reconstituted into lipid bilayers were significantly more protected from the protease than the Leu peptides. Assessment of Trp blue shifts in the presence of lipid bilayers of varied lipid packing indicated that Leu/Ile peptide interactions are dependent on lipid composition. The overall results suggest that two main interactions tend to dominate Leu and Ile interactions within the membrane: (1) hydrophobic interactions between amino acid side chains and the surrounding lipid; and (2) degree of disruption of lipid–lipid packing. This “battle of giants” likely underlies the specific role(s) that Leu and Ile will play in the folding of a given membrane protein.
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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 | 0.001 | 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 | 0.001 |
| 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 it