Enabling the P450 complement of Beauveria bassiana and Rhodococcus jostii for biocatalysis \n
Bibliographic record
Abstract
Enzyme discovery today is proceeding at an enormous pace due to ever-growing technology development. As a result of this, more than 21000 cytochrome P450s have been identified in all kingdoms of life to date, making a wide range of enzyme resources with outstanding potential for biocatalytical implementation available. P450s from filamentous fungi, such as Beauveria bassiana, represent particularly compelling targets for the discovery of novel enzymes as these organisms have a long history of application in industrial hydroxylation reactions, many of which are believed to be P450-dependent. In addition, the genome sequence of B. bassiana has recently been completed revealing 83 putative P450s. \n \nIn order to uncover new cytochrome P450-based biocatalysts from the fungus Beauveria bassiana extensive bioinformatics analysis of the Beauveria CYPome were performed. As a result 7 genes encoding for heme domains with possible alkane hydroxylase function and one encoding a naturally fused P450 with homology to P450foxy from Fusarium oxysporum could be identified for subsequent cloning, heterologous expression and characterization. Different expression hosts as well as various expression conditions have been investigated. Despite our efforts, delivery of active biocatalysts could not be realized. However, empirical data acquired in this project will be of value for future studies of fungal P450s. \n \nIn addition, 23 cytochrome P450 heme domains from Rhodococcus jostii fused to the P450 reductase domain (RhfRED) of cytochrome P450Rhf from Rhodococcus sp. NCIMB 9784 have been investigated in a further strand of this work and provided a screening platform that could be applied for industrial purposes. \n
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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) | 0.002 | 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".