Synthesis of a Versatile Peptidomimetic Scaffold
Bibliographic record
Abstract
The need to replace natural amino acids in peptides with nonproteinogenic counterparts in order to obtain drug-like target molecules has stimulated a great deal of innovation on several fronts (1-3). One of the more exciting areas of research in drug design has been the synthesis of so-called secondary structure peptidomimetic molecules that are expected to have the same therapeutic effects as natural peptide counterparts, with the added advantage of metabolic stability (4,5). Of particular interest to us has been the replacement of a dipeptide motif in a given natural substrate with a constrained or rigidified counterpart that stimulates β-turn formation (6,7). In particular, we have been investigating the generation of a general synthetic pathway towards a variety of substituted peptidomimetic core structures. Various appendages could then be attached to these central core units either by standard iterative conditions or, more preferably, by using combinatorial techniques. This chapter will describe the preparation of one such novel peptidomimetic nucleus and its elaboration to a fully extended β-turn peptidomimetic.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".