The role of extra-membranous inter-helical loops in helix–helix interactions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The effect of a short loop connecting two transmembrane alpha-helices was studied using molecular dynamics simulations. Helices F and G from bacteriorhodopsin and two corresponding polyalanine helices were embedded in octane and POPC membranes in a transmembrane configuration both with and without the inter-helical loop. The results indicate that the membrane environment and the sequence of the loop are more influential on the dynamics and structure of the motif than the presence of a loop as such, at least for the time-scales investigated. The four residues in the FG loop are stabilized by four hydrogen bonds. These hydrogen bonds are not present in the polyalanine loop, causing it to be more flexible than the FG loop. This effect was observed independently of the protein environment, stressing the importance of the sequence. The structural analysis indicates that the loop has weak stabilizing properties in all environments. The stabilization due to the presence of the loop was strongest in a simulation of the FG fragment in a membrane-mimetic octane slab. In the simulations of the helix-loop-helix motif embedded in an explicit lipid bilayer model, the lipid bilayer interface compensates to a large extent for the absence of the loop.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it