Reversible assembly of helical filaments by de novo designed minimalist peptides
Bibliographic record
Abstract
We have designed a series of 15 short, helical de novo peptides consisting of lysine, isoleucine, and alanine. We have termed this the KIA series. These peptides differ only in their hydrophobic interface, and thus their self-association is largely a consequence of hydrophobic interactions. One of these peptides, KIA13, forms insoluble helical fibers at specific NaCl concentrations. We have used CD spectroscopy, turbidity assays, and in situ tapping mode atomic force microscopy to characterize the reversible assembly pathway for this peptide. It is unfolded at low NaCl concentration, and forms helical, soluble fibers resembling a coiled-coil conformation at intermediate NaCl concentrations, and rope-like insoluble fibers at high NaCl concentrations. Reducing the NaCl concentration completely reverses this process. Another peptide from the KIA series specifically inhibits the formation of the insoluble KIA13 fibers, and reverses the process to some extent. This work sheds light onto protein fibrillogenesis and offers intriguing possibilities for the use of these types of peptides in drug delivery and biomaterials applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".