Inhibitors of Class II fructose 1,6‐bisphosphate aldolase
Bibliographic record
Abstract
Fructose 1,6‐bisphosphate (FBP) aldolase (E.C. 4.1.2.13 ) catalyzes the reversible aldol condensation of dihydroxyacetonephosphate and glyceraldehyde 3‐phosphate in the Calvin cycle, glycolysis and gluconeogenesis. The FBP aldolases are divided in two groups depending on the reaction mechanism: Class I aldolases form a Schiff‐base intermediate with the substrate and Class II aldolases instead use a divalent metal to stabilize the carbanion intermediate. Since the Class II aldolase is not present in animals or plants, it has been suggested that it could be a viable drug target. In order to develop new specific inhibitors against these enzymes, the Class II FBP aldolases from Mycobacterium tuberculosis , Pseudomonas aeruginosa , Helicobacter pylori , Bacillus cereus and Magnaporthe grisea were cloned into the E. coli expression vector pT7‐7, purified and characterized. All enzymes are dimers except for the M. tuberculosis tetrameric aldolase. The enzymes’ pH curve, temperature and organic solvent stability, and metal utilization were measured. Derivatives of the metal binding agent 2,6‐pyridinedicarboxylic acid, designed to resemble FBP, were synthesized and found to behave as specific mixed inhibitors of the Class II enzyme aldol cleavage reaction. This work was supported by grants from the Natural Sciences and Engineering Research Council of Canada. * Recipient of an Ontario Graduate Scholarship.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".