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PDBsum entry 3gr2

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protein ligands Protein-protein interface(s) links
Hydrolase/hydrolase inhibitor PDB id
3gr2

 

 

 

 

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Contents
Protein chains
358 a.a. *
Ligands
GF4
Waters ×520
* Residue conservation analysis
PDB id:
3gr2
Name: Hydrolase/hydrolase inhibitor
Title: Ampc beta-lactamase in complex with fragment-based inhibitor
Structure: Beta-lactamase. Chain: a, b. Synonym: cephalosporinase. Engineered: yes
Source: Escherichia coli. Organism_taxid: 83333. Strain: k12. Gene: ampa, ampc, b4150, jw4111. Expressed in: escherichia coli. Expression_system_taxid: 562.
Resolution:
1.80Å     R-factor:   0.206     R-free:   0.229
Authors: D.T.Teotico,B.K.Shoichet
Key ref:
D.G.Teotico et al. (2009). Docking for fragment inhibitors of AmpC beta-lactamase. Proc Natl Acad Sci U S A, 106, 7455-7460. PubMed id: 19416920 DOI: 10.1073/pnas.0813029106
Date:
24-Mar-09     Release date:   14-Apr-09    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chains
Pfam   ArchSchema ?
P00811  (AMPC_ECOLI) -  Beta-lactamase from Escherichia coli (strain K12)
Seq:
Struc:
377 a.a.
358 a.a.
Key:    PfamA domain  Secondary structure  CATH domain

 Enzyme reactions 
   Enzyme class: E.C.3.5.2.6  - beta-lactamase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]

      Pathway:
Penicillin Biosynthesis and Metabolism
      Reaction: a beta-lactam + H2O = a substituted beta-amino acid
      Cofactor: Zn(2+)

 

 
DOI no: 10.1073/pnas.0813029106 Proc Natl Acad Sci U S A 106:7455-7460 (2009)
PubMed id: 19416920  
 
 
Docking for fragment inhibitors of AmpC beta-lactamase.
D.G.Teotico, K.Babaoglu, G.J.Rocklin, R.S.Ferreira, A.M.Giannetti, B.K.Shoichet.
 
  ABSTRACT  
 
Fragment screens for new ligands have had wide success, notwithstanding their constraint to libraries of 1,000-10,000 molecules. Larger libraries would be addressable were molecular docking reliable for fragment screens, but this has not been widely accepted. To investigate docking's ability to prioritize fragments, a library of >137,000 such molecules were docked against the structure of beta-lactamase. Forty-eight fragments highly ranked by docking were acquired and tested; 23 had K(i) values ranging from 0.7 to 9.2 mM. X-ray crystal structures of the enzyme-bound complexes were determined for 8 of the fragments. For 4, the correspondence between the predicted and experimental structures was high (RMSD between 1.2 and 1.4 A), whereas for another 2, the fidelity was lower but retained most key interactions (RMSD 2.4-2.6 A). Two of the 8 fragments adopted very different poses in the active site owing to enzyme conformational changes. The 48% hit rate of the fragment docking compares very favorably with "lead-like" docking and high-throughput screening against the same enzyme. To understand this, we investigated the occurrence of the fragment scaffolds among larger, lead-like molecules. Approximately 1% of commercially available fragments contain these inhibitors whereas only 10(-7)% of lead-like molecules do. This suggests that many more chemotypes and combinations of chemotypes are present among fragments than are available among lead-like molecules, contributing to the higher hit rates. The ability of docking to prioritize these fragments suggests that the technique can be used to exploit the better chemotype coverage that exists at the fragment level.
 
  Selected figure(s)  
 
Figure 1.
Overlay of docked pose (green) and crystallographic pose (orange) for 8 of the fragment inhibitors prioritized by docking. The compounds shown are: 8 (A), 20 (B), 21 (C), 1 (D), 12 (E), 22 (F), 3 (G), and 5 (H). The final 2F[o]-F[c] maps contoured at 1σ are shown for A–E, G, and H. Compound 22, although discovered as part of the docking screen described here, was reported previously and no density is shown for it (24).
Figure 2.
Illustration of fragment substructures and their expansions with side chains. (A) The fragment (red, Left) is a substructure of the larger lead-like compound (Right). (B) The number of attachment points on the fragment scaffold (A[1] to A[7]) and on the example side chain (A[1]) was determined by generating smiles strings of each and identifying the number of hydrogen atoms. Each decoration was allowed only 1 attachment point at a time (excluding ring closing within the fragment). The possible number of lead-like expansions (≤25 HAC) that could be formed by combining each decoration to attachment points on the 23 fragment scaffolds was calculated analytically by using Eq. 3. (C) Structures of the different kinds of symmetry elements seen in the fragments. In each case, the symmetrical attachment points (e.g., A1 and A2, C1, C2, and C3) were collapsed into a single attachment point (e.g., A1 and A2 count as only 1 attachment point). These provided a lower limit for the possible number of compounds that contain the fragments as substructures. The upper limit is calculated by assuming each attachment point is unique (no symmetry).
 

Literature references that cite this PDB file's key reference

  PubMed id Reference
21360606 E.Yuriev, M.Agostino, and P.A.Ramsland (2011).
Challenges and advances in computational docking: 2009 in review.
  J Mol Recognit, 24, 149-164.  
20546776 A.M.Smith, R.Ammar, C.Nislow, and G.Giaever (2010).
A survey of yeast genomic assays for drug and target discovery.
  Pharmacol Ther, 127, 156-164.  
20394454 C.Bebrone, P.Lassaux, L.Vercheval, J.S.Sohier, A.Jehaes, E.Sauvage, and M.Galleni (2010).
Current challenges in antimicrobial chemotherapy: focus on ß-lactamase inhibition.
  Drugs, 70, 651-679.  
20598892 G.F.Ruda, G.Campbell, V.P.Alibu, M.P.Barrett, R.Brenk, and I.H.Gilbert (2010).
Virtual fragment screening for novel inhibitors of 6-phosphogluconate dehydrogenase.
  Bioorg Med Chem, 18, 5056-5062.  
20121112 P.Oelschlaeger, N.Ai, K.T.Duprez, W.J.Welsh, and J.H.Toney (2010).
Evolving carbapenemases: can medicinal chemists advance one step ahead of the coming storm?
  J Med Chem, 53, 3013-3027.  
20205445 R.G.Coleman, and K.A.Sharp (2010).
Protein pockets: inventory, shape, and comparison.
  J Chem Inf Model, 50, 589-603.  
The most recent references are shown first. Citation data come partly from CiteXplore and partly from an automated harvesting procedure. Note that this is likely to be only a partial list as not all journals are covered by either method. However, we are continually building up the citation data so more and more references will be included with time.

 

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