Enzymatic Asymmetric Synthesis of All Stereoisomers of Aliphatic, Vicinal Diols in Conventional and Non‐Conventional Media
Bibliographic record
Abstract
Abstract Chiral, vicinal diols are of high interest for academic research and industrial applications. For synthesizing chiral diols, enzymes are important catalysts due to their high selectivity and ability to work under tolerable temperature and no pressure. In this study, two consecutive enzyme‐catalyzed steps were used for the asymmetric synthesis of aliphatic, vicinal diols with high product concentrations and chiral purity. The reaction comprised a ligation step employing lyases and a subsequent reduction step using oxidoreductases. Either in an aqueous buffer or an organic solvent, the potentially biobased aldehydes acetaldehyde, propanal, butanal, and pentanal were used as substrates. Here, all possible stereoisomers of 2,3‐butanediol, 3,4‐hexanediol, 4,5‐octanediol, and 5,6‐decanediol were produced with isomeric content values between 72% and >99%, and concentrations between 4.1 and 115 mM. This work shows how four symmetric, chiral, vicinal diols can be synthesized by combining enzymes in a modular way, including exemplarily scaling.
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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) | 0.001 | 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".