Directed Evolution of the Actinomycete Cytochrome P450 MoxA (CYP105) for Enhanced Activity
Bibliographic record
Abstract
Actinomycete cytochrome P450 from Nonomuraea recticatena NBRC 14525 (P450moxA) catalyzes the hydroxylation of a broad range of substrates, including fatty acids, steroids, and various aromatic compounds. Hence, the enzyme is potentially useful in medicinal applications, but the activity is insufficient for practical use. Here we applied directed evolution to enhance the activity. A random mutagenesis library was screened using 7-ethoxycoumarin as a substrate to retrieve 17 variants showing >2-fold activities. Twenty-five amino acid substitutions were found in the variants, of which five mutations were identified to have the largest effects (Q87W, T115A, H132L, R191W, and G294D). These mutations additively increased the activity; the quintet mutant had 20-times the activity of the wildtype. These five single mutations also increased in activity toward structurally distinct substrates (diclofenac and naringenin). Based on the three-dimensional structure of the enzyme, we discerned that mutations in the substrate recognition site improved the activity, which was substrate dependent; mutations apart from the active site improved the activity as well as the substrates did.
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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) | 0.000 | 0.000 |
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".