5JWF image
Deposition Date 2016-05-12
Release Date 2017-06-14
Last Version Date 2024-10-16
Entry Detail
PDB ID:
5JWF
Keywords:
Title:
Crystal structure of Porphyromonas gingivalis DPP11
Biological Source:
Source Organism:
Host Organism:
Method Details:
Experimental Method:
Resolution:
2.40 Å
R-Value Free:
0.25
R-Value Work:
0.20
R-Value Observed:
0.21
Space Group:
P 21 21 21
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:Asp/Glu-specific dipeptidyl-peptidase
Gene (Uniprot):dpp11
Chain IDs:A, B
Chain Length:706
Number of Molecules:2
Biological Source:Porphyromonas gingivalis
Primary Citation
Bacterial protease uses distinct thermodynamic signatures for substrate recognition.
Sci Rep 7 2848 2848 (2017)
PMID: 28588213 DOI: 10.1038/s41598-017-03220-y

Abstact

Porphyromonas gingivalis and Porphyromonas endodontalis are important bacteria related to periodontitis, the most common chronic inflammatory disease in humans worldwide. Its comorbidity with systemic diseases, such as type 2 diabetes, oral cancers and cardiovascular diseases, continues to generate considerable interest. Surprisingly, these two microorganisms do not ferment carbohydrates; rather they use proteinaceous substrates as carbon and energy sources. However, the underlying biochemical mechanisms of their energy metabolism remain unknown. Here, we show that dipeptidyl peptidase 11 (DPP11), a central metabolic enzyme in these bacteria, undergoes a conformational change upon peptide binding to distinguish substrates from end products. It binds substrates through an entropy-driven process and end products in an enthalpy-driven fashion. We show that increase in protein conformational entropy is the main-driving force for substrate binding via the unfolding of specific regions of the enzyme ("entropy reservoirs"). The relationship between our structural and thermodynamics data yields a distinct model for protein-protein interactions where protein conformational entropy modulates the binding free-energy. Further, our findings provide a framework for the structure-based design of specific DPP11 inhibitors.

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