Anticipating alien cells with alternative genetic codes: away from the alanine world!
Bibliographic record
Abstract
Can we make life with a different genetic amino acid repertoire? Can we expect organisms which would keep newly given genetic code associations permanently? To address these questions, we would like to analyze the existent genetic code amino acid repertoire as formed from derivatives of alanine. Derivation from alanine leads to the α-helix based biological world, the Alanine World, whereas variations in the side-chains enable tertiary folding and subsequent chemical versatility of the proteome. Proline, glycine and pyrrolysine are the rudiments in the current genetic code, indicating that the original set could be different. Furthermore, from the perspective of peptide chemistry, it shall be possible to recruit these alternative scaffolds for the construction of synthetic or alternative life. This would allow for a completely new biological world, potentially as functional and versatile as the existing one. Pursuing these options offers a strategy for a complete re-design or even de-novo creation of living organisms based on entirely different chemical make-up, with completely new set of solutions for both near and distant future biotechnologies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".