Proposed Systematic Nomenclature for Orbitides
Bibliographic record
Abstract
Orbitides are short (5-11 amino acid residue), ribosomally synthesized homodetic plant cyclic peptides characterized by N-to-C amide bonds rather than disulfide bonds. Orbitides can be discovered using mass spectrometry of plant extracts or by identifying DNA sequences coding for the precursor protein. The number of orbitides that have been characterized to date, by a number of different research groups, is modest. The nomenclatural system currently used for the Type VI cyclic peptides has been developed in an ad hoc fashion and is somewhat arbitrary. We propose a systematic naming system specifically for the Type VI cyclic peptides that reflects the taxonomic name of the species producing the orbitides and a numbering system that enables systematic representation of amino acid residues and modifications. The proposed naming system emulates the IUPAC Nomenclature for Natural Products and UniProt, both of which use abbreviations of taxonomic names for the compounds in question. Nomenclature for post-translational modifications also follows the IUPAC precedent, as well as the cyclic peptide literature. Furthermore, the proposed system aims to maintain agreement with the precedents set by the pre-existing literature. An example of the proposed nomenclature is provided using the methionine-containing homodetic peptides of Linum usitatissimum (flaxseed).
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.013 |
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".