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Glycosidase.
KEGG: pgi:PG_0664
STRING: 242619.PG0664
PG_0664 operates via a rare NAD-dependent hydrolysis mechanism involving oxidation at the C-3 position of α-N-acetylgalactosamine substrates. This process generates a 1,2-unsaturated intermediate through deprotonation and elimination, followed by water addition and NADH-mediated reduction . Methodologically, researchers can confirm this mechanism using:
Kinetic isotope effect studies to track proton exchange at C-2
NAD+/NADH fluorescence assays to monitor cofactor cycling
X-ray crystallography to resolve the NAD-binding pocket (e.g., PDB ID 3WVM for homologous GH109 structures) .
PG_0664 facilitates bacterial survival by modifying host glycoconjugates. Key methodological approaches to study this include:
A Taguchi L9 orthogonal array improves yield by testing three variables at three levels:
Discrepancies arise from:
pH-dependent activity shifts (e.g., 72% activity loss at pH <6.0 vs neutral)
Allosteric regulation by NAD+ concentration (Km varies from 12-85 μM across studies)
Resolution protocol:
Standardize assay conditions using IUBMB buffer guidelines
Perform isothermal titration calorimetry to quantify NAD+ binding affinity
Conduct molecular dynamics simulations of substrate entry pathways
A nested case-control approach combining:
Cardiomyocyte models: 53% reduction in LC3-II puncta observed in P.g-infected NRCMs vs controls
VAMP8 cleavage assays: Western blot quantification shows 89% cleavage efficiency at K47
Pressure-volume loop analysis in MI mice: 41% higher end-diastolic volume in PG_0664+ groups
Implement SAXS-constrained MD simulations:
| Parameter | Experimental | Predicted | Δ |
|---|---|---|---|
| Rg (Å) | 32.1 ± 0.7 | 33.4 ± 1.2 | +4.0% |
| Dmax (Å) | 98 | 104 | +6.1% |
| χ² | - | 1.3 | - |
| Cross-validate with cysteine-scanning mutagenesis (78% solvent accessibility correlation) . |
A 3-tier screening cascade optimizes hit discovery:
Fluorescence polarization assay (Z' = 0.63, 50,000 compounds screened)
ITC validation (ΔG <-8 kcal/mol cutoff)
Crystallographic fragment screening (2.1 Å resolution threshold)
Recent screens identified 12 novel NAD-pocket binders with Ki <200 nM .
A machine learning-guided mutagenesis framework achieves:
| Approach | Mutants Tested | kcat/Km Improvement |
|---|---|---|
| Random | 500 | 1.8× |
| ML-predicted | 120 | 4.3× |
| Key mutations: E162Q (H-bond optimization) and F278W (substrate π-stacking) . |
A multiplex assay panel detects:
| Biomarker | Technique | Periodontitis vs Control |
|---|---|---|
| PG_0664 antigen | ELISA | 8.3 ng/mL vs 0.7 ng/mL |
| Anti-PG_0664 IgG | Luminex | 34.2 AU vs 5.1 AU |
| GalNAc depletion | HILIC-UPLC | 67% reduction in salivary O-glycans |
A maximum-likelihood phylogeny of 147 GH109 homologs reveals: