Identification of stable helical bundles from a combinatorial library of amphipathic peptides
Bibliographic record
Abstract
A set of combinatorial amphipathic helical peptides referred to as the KIA series has been screened to identify native-like helical bundles. The series contains the following consensus sequence: AKAxAAxxKAxAAxxKAGGY, where "x" positions are occupied by either Ala or Ile. The peptide sequences in the series comprise all possible combinations of four Ile residues occupying the six x positions. In each case, Ala occupied the two x positions not occupied by Ile. There are a total of 15 peptides in the KIA series; all of the peptides differ in the number of ridges and grooves formed by the Ile side chains, and two of the KIA peptides possess a canonical knobs-into-holes heptad repeat. The structure and stability of these 15 peptides and their pairwise mixtures were evaluated. One peptide in the series formed a stable four-helix bundle that folded with cooperativity similar to native proteins. Ten peptides assembled into molten globular helical assemblies, two peptides were unstructured, and two peptides assembled into helical filaments that were several micrometers long. One of the helical filament forming peptides could be diverted from forming filaments by the addition of another KIA peptide, and resulted in the formation of a heteromeric six-helix bundle. This study demonstrates that combinatorial peptides composed of only three types of amino acids can form a diverse array of structures, some of which are native-like.
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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".