Discovery and Biochemical Characterization of New CAZymes from PULs and Metagenome Sequences
Bibliographic record
Abstract
(methyl)-Glucuronoxylan, a main hemicellulose in hardwood trees, has a broad range of potential applications, ranging from biofuels to bio-based coatings and packaging films. It is substituted with (methyl)glucuronic ((Me)GlcpA) and acetic acids, which affect polymer solubility, rheology, interaction with other polymers, and accessibility of the polymer to enzymes. To date, there are no known esterases that are able to deacetylate internal xylose residues that are both 3-O-acetylated and 2-O substituted with (Me)GlcpA (Xyl-3-Ac-2MeGlcpA). In this study a protein of unknown function, which was named FjoAcXE, was produced and characterized to be an acetyl xylan esterase capable of deacetylating xylose residues at all positions, including Xyl-3-Ac-2MeGlcpA. Additionally, FjoAcXE was shown to display synergism with α-glucuronidases from glycoside hydrolase (GH) 67 and GH115 families. Synergistic action between FjoAcXE with α-glucuronidases was further tested with three recombinantly produced α-glucuronidases from metagenomic sequences of the Canadian beaver (Castor Canadensis) droppings enriched on poplar hydrolysate.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".