4OLD image
Deposition Date 2014-01-23
Release Date 2014-05-28
Last Version Date 2024-02-28
Entry Detail
PDB ID:
4OLD
Keywords:
Title:
Crystal structure of AmpC beta-lactamase in complex with the product form of (6R,7R)-7-amino-8-oxo-5-thia-1-azabicyclo[4.2.0]oct-2-ene-2-carboxylic acid
Biological Source:
Source Organism:
Host Organism:
Method Details:
Experimental Method:
Resolution:
1.48 Å
R-Value Free:
0.18
R-Value Work:
0.16
R-Value Observed:
0.16
Space Group:
C 1 2 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:Beta-lactamase
Gene (Uniprot):ampC
Chain IDs:A, B
Chain Length:358
Number of Molecules:2
Biological Source:Escherichia coli
Primary Citation
Substrate deconstruction and the nonadditivity of enzyme recognition.
J.Am.Chem.Soc. 136 7374 7382 (2014)
PMID: 24791931 DOI: 10.1021/ja501354q

Abstact

Predicting substrates for enzymes of unknown function is a major postgenomic challenge. Substrate discovery, like inhibitor discovery, is constrained by our ability to explore chemotypes; it would be expanded by orders of magnitude if reactive sites could be probed with fragments rather than fully elaborated substrates, as is done for inhibitor discovery. To explore the feasibility of this approach, substrates of six enzymes from three different superfamilies were deconstructed into 41 overlapping fragments that were tested for activity or binding. Surprisingly, even those fragments containing the key reactive group had little activity, and most fragments did not bind measurably, until they captured most of the substrate features. Removing a single atom from a recognized substrate could often reduce catalytic recognition by 6 log-orders. To explore recognition at atomic resolution, the structures of three fragment complexes of the β-lactamase substrate cephalothin were determined by X-ray crystallography. Substrate discovery may be difficult to reduce to the fragment level, with implications for function discovery and for the tolerance of enzymes to metabolite promiscuity. Pragmatically, this study supports the development of libraries of fully elaborated metabolites as probes for enzyme function, which currently do not exist.

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