Molecular Engineering of the Peptoid Nanosheet Hydrophobic Core
Bibliographic record
Abstract
The relationship between the structure of sequence-defined peptoid polymers and their ability to assemble into well-defined nanostructures is important to the creation of new bioinspired platforms with sophisticated functionality. Here, the hydrophobic N-(2-phenylethyl)glycine (Npe) monomers of the standard nanosheet-forming peptoid sequence were modified in an effort to (1) produce nanosheets from relatively short peptoids, (2) inhibit the aggregation of peptoids in bulk solution, (3) increase nanosheet stability by promoting packing interactions within the hydrophobic core, and (4) produce nanosheets with a nonaromatic hydrophobic core. Fluorescence and optical microscopy of individual nanosheets reveal that certain modifications to the hydrophobic core were well tolerated, whereas others resulted in instability or aggregation or prevented assembly. Importantly, we demonstrate that substitution at the meta and para positions of the Npe aromatic ring are well tolerated, enabling significant opportunities to tune the functional properties of peptoid nanosheets. We also found that N-aryl glycine monomers inhibit nanosheet formation, whereas branched aliphatic monomers have the ability to form nanosheets. An analysis of the crystal structures of several N,N'-disubstituted diketopiperazines (DKPs), a simple model system, revealed that the preferred solid-state packing arrangement of the hydrophobic groups can directly inform the assembly of stable peptoid nanosheets.
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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".