Mechanistic Analysis of the Blood Group Antigen-Cleaving <i>endo</i>-β-Galactosidase from <i>Clostridium perfringens</i>
Bibliographic record
Abstract
The A and B antigens are of vital importance in blood transfusion and organ transplantation. The specificity of EABase, an endo-beta-galactosidase from C. perfringens, toward the cleavage of A and B trisaccharides from glycoconjugates is unique and holds significant potential for use in modifying blood group antigens on cell surfaces. The mechanism of this enzyme and others in its family (GH98) and the identities of its catalytic residues have not previously been experimentally determined. Direct 1H NMR analysis of the hydrolysis of a synthetic substrate, DNP-beta-A-trisaccharide, by EABase revealed that EABase is an inverting endo-beta-galactosidase. Both activated and nonactivated substrates were used to kinetically characterize EABase and its mutants (E354A, D429A, D453A, E467A, and E506A) at pH 6.0, 37 degrees C. Hydrolysis of DNP-beta-A-trisaccharide by EABase follows normal Michaelis-Menten kinetics with an apparent KM of 64 +/- 3 microM and a k(cat) of 105 +/- 5 min(-1). Mutation of two putative active site residues, D453 and E506, to alanine resulted in complete loss of activity, strongly suggesting that one or both of these residues functions as the base catalyst. The kinetic data also strongly suggest that E354 is the acid catalyst since the activity of the E354A mutant with nonactivated natural substrates is 1100-fold lower than that of the wild type enzyme, while its activity is only 10-fold lower when assayed with an activated aryl glycoside substrate (DNP-beta-A-trisaccharide). Further support is obtained through comparison of pH profiles for the wild type and E354A mutants: mutation of the acid catalyst eliminates the basic limb from the bell-shaped pH-dependence of k(cat)/KM seen for the wild type enzyme.
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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 | 0.001 |
| Open science | 0.001 | 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".