Additional file 4 of Kinetic characterization of annotated glycolytic enzymes present in cellulose-fermenting Clostridium thermocellum suggests different metabolic roles
Bibliographic record
Abstract
Additional file 4. Amino acid alignments of class II FBP aldolases. Figure S7. Including the characterized FBP aldolase of C. thermocellum currently under investigation; as well as the other annotated FBP aldolase encoded by C. thermocellum (C. thermocellum_hyp). Thermus aquaticus, Thermotoga maritima, Giardia lamblia, Helicobacter pylori, Geobacillus stearothermophilus all belong to class IIB, while E. coli, Corynebacterium glutamicum, Saccharomyces cerevisiae, Euglena gracilis belong to class IIA. The conserved residues implicated in binding the Zn2+ (D) and monovalent cation (M) have been identified based off stucturalr studies done the aldolase of E. coli [52]. Segments highlighted in black, identical residues, while letters that are bold represent similar residues. The sequences were aligned with MAFFT and the figure prepared with ESPript. The percent similarity between C. thermocellum characterized Aldoa and each of the other aldolases were placed at the end of the alignment.
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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.810 | 0.188 |
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".