Production and biochemical characterization of a type B ferulic acid esterase from <i>Streptomyces ambofaciens</i>
Bibliographic record
Abstract
For the first time, the presence of a ferulic acid esterase (FAE) was demonstrated in Streptomyces ambofaciens. This extracellular enzyme was produced on a range of lignocellulosic substrates. The maximal level of activity was detected in the presence of either destarched wheat bran or oat spelt xylan as the sole carbon source. We found that 1% (m/v) of destarched wheat bran was the optimal concentration to induce its production. With this inducer, no ferulic acid dimers were released from the cell wall by the produced FAE. Interestingly, rape cattle cake (Brassica napus), which does not contain esterified ferulic acid, was also shown to induce the production of the FAE from S. ambofaciens. The FAE was partially purified from the culture supernatant. The purified enzyme was optimally active at pH 7 and 40 degrees C. The substrate specificity of the FAE from S. ambofaciens was investigated: the highest activity was determined with methyl p-coumarate, methyl ferulate, and methyl cinnamate. Furthermore, the FAE required a certain distance between the benzene ring and the ester bond to be active. According to these biochemical characteristics, the FAE from S. ambofaciens has been classified as a type B FAE.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".