Computer Modeling of Polyleucine-Based Coiled Coil Dimers in a Realistic Membrane Environment: Insight into Helix−Helix Interactions in Membrane Proteins
Bibliographic record
Abstract
Simulated annealing was performed to model parallel dimers of alpha-helical transmembrane peptides with the sequence L(11)XL(12), predicting left-handed coiled coil geometry in all cases. Insertion of peptides containing threonine, asparagine, alanine, phenylalanine, and leucine in position 12 into realistic model membranes showed these structures were stable for 20 ns of molecular dynamics simulation time. Threonine could participate in intermolecular hydrogen bonds, but predominantly formed hydrogen bonds to the backbone of the helix it resided on. These hydrogen bonds, although infrequent, appeared to promote closer association of polyleucine helices. Asparagine participated in multiple, rapidly fluctuating intermolecular and intramolecular hydrogen bonds, and may have slightly destabilized optimum van der Waals packing in favor of optimum hydrogen bonding. Coordinated rotations of transmembrane helices about their axes were observed, indicating helices may rotate around one another during the folding of membrane proteins or other processes. These rotations were inhibited by phenylalanine, suggesting a role for bulky residues in modulating membrane protein dynamics.
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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".