Additional file 2 of Polysaccharide utilization loci-driven enzyme discovery reveals BD-FAE: a bifunctional feruloyl and acetyl xylan esterase active on complex natural xylans
Bibliographic record
Abstract
Additional file 2. Additional data of BD-FAE biochemical characterization including Table S2. List of all pNP-glycosides, pNP-Ac and polymeric substrates used for initial screening of BD-FAE. Figure S1. (A) SDS-PAGE of purified BD-FAE and its truncated form, (B) pH optimum of BD-FAE, and (C) kinetic parameters of BD-FAE. Figure S2. Oligomerization state of BD-FAE (A) by native mass spectrometry, (B) by dynamic light scattering, and (C + D) by size exclusion chromatography. Figure S3. Initial screening of BD-FAE on pNP-glycosides and pNP-Ac. Table S3. Comparison of kinetic parameters of carbohydrate esterases on pNP-acetate. Figure S4. MALDI-TOF spectra before (A) and after (B) incubating BD-FAE on X2Ac4. Figure S5. Glucuronoyl esterase activity of BD-FAE. Table S4. Average absorbance values for enzyme incubation, buffer-, enzyme -, and substrate blanks corresponding to the results of photometric assays shown in Fig. 5A-B.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.840 | 0.207 |
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".