Bibliographic record
Abstract
d-Amino acids play widespread structural, functional and regulatory roles in organisms. These d-amino acids often arise through the stereoinversion of the more plentiful l-amino acids catalysed by amino acid racemases and epimerases. Such enzymes are of interest since many are recognized targets for the development of drugs or may be employed industrially in biotransformation reactions. Despite their enzyme–substrate complexes being diastereomers, some racemases and epimerases exhibit a kinetic pseudo-symmetry, binding their enantiomeric or epimeric substrate pairs with roughly equal affinities and catalyzing their stereoinversion with similar turnover numbers. In other cases, this kinetic pseudo-symmetry is absent or may be ‘broken’ by substitution of a catalytic Cys by Ser at the active site of cofactor-independent racemases and epimerases, or by altering the Brønsted base of the catalytic dyad that facilitates deprotonation of the Cys residue. Moreover, a natural Thr-containing l-Asp/Glu racemase was discovered that catalyses ‘unidirectional’ substrate turnover, unlike the typical bidirectional racemases and epimerases. These observations suggest that bidirectional Cys–Cys racemases may be re-engineered into ‘unidirectional’ racemases through substitution of the thiol by a hydroxyl group. Catalysis by such ‘unidirectional’ racemase precursors could then be optimized further by site-directed mutagenesis and directed evolution to furnish useful enzymes for biotechnological applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".