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PDBsum entry 4lhh

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Hydrolase/hydrolase inhibitor PDB id
4lhh

 

 

 

 

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Contents
Protein chain
330 a.a.
Ligands
1TZ
GOL ×4
DMS ×3
ACT ×2
Waters ×333
PDB id:
4lhh
Name: Hydrolase/hydrolase inhibitor
Title: Endothiapepsin in complex with 2mm acylhydrazone inhibitor
Structure: Endothiapepsin. Chain: a. Fragment: unp residues 90-419. Synonym: aspartate protease. Ec: 3.4.23.22
Source: Cryphonectria parasitica. Chesnut blight fungus. Organism_taxid: 5116
Resolution:
1.73Å     R-factor:   0.148     R-free:   0.176
Authors: N.Radeva,A.Heine,G.Klebe
Key ref: M.Mondal et al. (2014). Structure-based design of inhibitors of the aspartic protease endothiapepsin by exploiting dynamic combinatorial chemistry. Angew Chem Int Ed Engl, 53, 3259-3263. PubMed id: 24532096 DOI: 10.1002/anie.201309682
Date:
01-Jul-13     Release date:   02-Apr-14    
PROCHECK
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 Headers
 References

Protein chain
Pfam   ArchSchema ?
P11838  (CARP_CRYPA) -  Endothiapepsin from Cryphonectria parasitica
Seq:
Struc:
419 a.a.
330 a.a.
Key:    PfamA domain  Secondary structure  CATH domain

 Enzyme reactions 
   Enzyme class: E.C.3.4.23.22  - endothiapepsin.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: Hydrolysis of proteins with broad specificity similar to that of pepsin A, preferring hydrophobic residues at P1 and P1', but does not cleave 14-Ala-|-Leu-15 in the B chain of insulin or Z-Glu-Tyr. Clots milk.

 

 
DOI no: 10.1002/anie.201309682 Angew Chem Int Ed Engl 53:3259-3263 (2014)
PubMed id: 24532096  
 
 
Structure-based design of inhibitors of the aspartic protease endothiapepsin by exploiting dynamic combinatorial chemistry.
M.Mondal, N.Radeva, H.Köster, A.Park, C.Potamitis, M.Zervou, G.Klebe, A.K.Hirsch.
 
  ABSTRACT  
 
Structure-based design (SBD) can be used for the design and/or optimization of new inhibitors for a biological target. Whereas de novo SBD is rarely used, most reports on SBD are dealing with the optimization of an initial hit. Dynamic combinatorial chemistry (DCC) has emerged as a powerful strategy to identify bioactive ligands given that it enables the target to direct the synthesis of its strongest binder. We have designed a library of potential inhibitors (acylhydrazones) generated from five aldehydes and five hydrazides and used DCC to identify the best binder(s). After addition of the aspartic protease endothiapepsin, we characterized the protein-bound library member(s) by saturation-transfer difference NMR spectroscopy. Cocrystallization experiments validated the predicted binding mode of the two most potent inhibitors, thus demonstrating that the combination of de novo SBD and DCC constitutes an efficient starting point for hit identification and optimization.
 

 

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