Literature DB >> 12121656

Structure-based discovery of a novel, noncovalent inhibitor of AmpC beta-lactamase.

Rachel A Powers1, Federica Morandi, Brian K Shoichet.   

Abstract

beta-lactamases are the most widespread resistance mechanisms to beta-lactam antibiotics, and there is a pressing need for novel, non-beta-lactam drugs. A database of over 200,000 compounds was docked to the active site of AmpC beta-lactamase to identify potential inhibitors. Fifty-six compounds were tested, and three had K(i) values of 650 microM or better. The best of these, 3-[(4-chloroanilino)sulfonyl]thiophene-2-carboxylic acid, was a competitive noncovalent inhibitor (K(i) = 26 microM), which also reversed resistance to beta-lactams in bacteria expressing AmpC. The structure of AmpC in complex with this compound was determined by X-ray crystallography to 1.94 A and reveals that the inhibitor interacts with key active-site residues in sites targeted in the docking calculation. Indeed, the experimentally determined conformation of the inhibitor closely resembles the prediction. The structure of the enzyme-inhibitor complex presents an opportunity to improve binding affinity in a novel series of inhibitors discovered by structure-based methods.

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Year:  2002        PMID: 12121656     DOI: 10.1016/s0969-2126(02)00799-2

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  47 in total

1.  Identification of residues critical for catalysis in a class C beta-lactamase by combinatorial scanning mutagenesis.

Authors:  Shalom D Goldberg; William Iannuccilli; Tuan Nguyen; Jingyue Ju; Virginia W Cornish
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

2.  Structure-based ligand discovery for the protein-protein interface of chemokine receptor CXCR4.

Authors:  Michael M Mysinger; Dahlia R Weiss; Joshua J Ziarek; Stéphanie Gravel; Allison K Doak; Joel Karpiak; Nikolaus Heveker; Brian K Shoichet; Brian F Volkman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-19       Impact factor: 11.205

3.  Discriminating of HMG-CoA reductase inhibitors and decoys using self-organizing maps.

Authors:  Zhi Wang; Aixia Yan
Journal:  Mol Divers       Date:  2010-11-12       Impact factor: 2.943

Review 4.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

5.  Here be dragons: docking and screening in an uncharted region of chemical space.

Authors:  Ruth Brenk; John J Irwin; Brian K Shoichet
Journal:  J Biomol Screen       Date:  2005-09-16

6.  Decoys for docking.

Authors:  Alan P Graves; Ruth Brenk; Brian K Shoichet
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

Review 7.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
Journal:  Curr Top Med Chem       Date:  2005       Impact factor: 3.295

8.  Benchmarking sets for molecular docking.

Authors:  Niu Huang; Brian K Shoichet; John J Irwin
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

9.  Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening.

Authors:  Jui-Hua Hsieh; Xiang S Wang; Denise Teotico; Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2008-03-13       Impact factor: 3.686

10.  Comprehensive mechanistic analysis of hits from high-throughput and docking screens against beta-lactamase.

Authors:  Kerim Babaoglu; Anton Simeonov; John J Irwin; Michael E Nelson; Brian Feng; Craig J Thomas; Laura Cancian; M Paola Costi; David A Maltby; Ajit Jadhav; James Inglese; Christopher P Austin; Brian K Shoichet
Journal:  J Med Chem       Date:  2008-03-12       Impact factor: 7.446

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