Mechanistic Analyses of Catalysis in Human Pancreatic α-Amylase: Detailed Kinetic and Structural Studies of Mutants of Three Conserved Carboxylic Acids
Bibliographic record
Abstract
The roles of three conserved active site carboxylic acids (D197, E233, and D300) in the catalytic mechanism of human pancreatic alpha-amylase (HPA) were studied by utilizing site-directed mutagenesis in combination with structural and kinetic analyses of the resultant enzymes. All three residues were mutated to both alanine and the respective amide, and a double alanine mutant (E233A/D300A) was also generated. Structural analyses demonstrated that there were no significant differences in global fold for the mutant enzymes. Kinetic analyses were performed on the mutants, utilizing a range of substrates. All results suggested that D197 was the nucleophile, as virtually all activity (>10(5)-fold decrease in k(cat) values) was lost for the enzymes mutated at this position when assayed with several substrates. The significantly greater second-order rate constant of E233 mutants on "activated" substrates (k(cat)/K(m) value for alpha-maltotriosyl fluoride = 15 s(-)(1) mM(-)(1)) compared with "unactivated" substrates (k(cat)/K(m) value for maltopentaose = 0.0030 s(-)(1) mM(-)(1)) strongly suggested that E233 is the general acid catalyst, as did the pH-activity profiles. Transglycosylation was favored over hydrolysis for the reactions of several of the enzymes mutated at D300. At the least, this suggests an overall impairment of the catalytic mechanism where the reaction then proceeds using the better acceptor (oligosaccharide instead of water). This may also suggest that D300 plays a crucial role in enzymic interactions with the nucleophilic water during the hydrolysis of the glycosidic bond.
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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 | 0.001 |
| 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) | 0.000 | 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".