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PDBsum entry 1ke0
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Contents |
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* Residue conservation analysis
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References listed in PDB file
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Key reference
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Title
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Structure-Based approach for binding site identification on ampc beta-Lactamase.
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Authors
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R.A.Powers,
B.K.Shoichet.
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Ref.
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J Med Chem, 2002,
45,
3222-3234.
[DOI no: ]
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PubMed id
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Abstract
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Beta-lactamases are the most widespread resistance mechanism to beta-lactam
antibiotics and are an increasing menace to public health. Several
beta-lactamase structures have been determined, making this enzyme an attractive
target for structure-based drug design. To facilitate inhibitor design for the
class C beta-lactamase AmpC, binding site "hot spots" on the enzyme were
identified using experimental and computational approaches. Experimentally,
X-ray crystal structures of AmpC in complexes with four boronic acid inhibitors
and a higher resolution (1.72 A) native apo structure were determined. Along
with previously determined structures of AmpC in complexes with five other
boronic acid inhibitors and four beta-lactams, consensus binding sites were
identified. Computationally, the programs GRID, MCSS, and X-SITE were used to
predict potential binding site hot spots on AmpC. Several consensus binding
sites were identified from the crystal structures. An amide recognition site was
identified by the interaction between the carbonyl oxygen in the R1 side chain
of beta-lactams and the atom Ndelta2 of the conserved Asn152. Surprisingly, this
site also recognizes the aryl rings of arylboronic acids, appearing to form
quadrupole-dipole interactions with Asn152. The highly conserved "oxyanion" hole
defines a site that recognizes both carbonyl and hydroxyl groups. A hydroxyl
binding site was identified by the O2 hydroxyl in the boronic acids, which
hydrogen bonds with Tyr150 and a conserved water. A hydrophobic site is formed
by Leu119 and Leu293. A carboxylate binding site was identified by the
ubiquitous C3(4) carboxylate of the beta-lactams, which interacts with Asn346
and Arg349. Four water sites were identified by ordered waters observed in most
of the structures; these waters form extensive hydrogen-bonding networks with
AmpC and occasionally the ligand. Predictions by the computational programs
showed some correlation with the experimentally observed binding sites. Several
sites were not predicted, but novel binding sites were suggested. Taken
together, a map of binding site hot spots found on AmpC, along with information
on the functionality recognized at each site, was constructed. This map may be
useful for structure-based inhibitor design against AmpC.
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