Literature DB >> 25676821

Covalent docking of selected boron-based serine beta-lactamase inhibitors.

Jacopo Sgrignani1, Beatrice Novati, Giorgio Colombo, Giovanni Grazioso.   

Abstract

AmpC β-lactamase is a hydrolytic enzyme conferring resistance to β-lactam antibiotics in multiple Gram-negative bacteria. Therefore, identification of non-β-lactam compounds able to inhibit the enzyme is crucial for the development of novel antibacterial therapies. In general, AmpC inhibitors have to engage the highly solvent-exposed catalytic site of the enzyme. Therefore, understanding the implications of ligand-protein induced-fit and water-mediated interactions behind the inhibitor-enzyme recognition process is fundamental for undertaking structure-based drug design process. Here, we focus on boronic acids, a promising class of beta-lactamase covalent inhibitors. First, we optimized a docking protocol able to reproduce the experimentally determined binding mode of AmpC inhibitors bearing a boronic group. This goal was pursued (1) performing rigid and flexible docking calculations aiming to establish the role of the side chain conformations; and (2) investigating the role of specific water molecules in shaping the enzyme active site and mediating ligand protein interactions. Our calculations showed that some water molecules, conserved in the majority of the considered X-ray structures, are needed to correctly predict the binding pose of known covalent AmpC inhibitors. On this basis, we formalized our findings in a docking and scoring protocol that could be useful for the structure-based design of new boronic acid AmpC inhibitors.

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Year:  2015        PMID: 25676821     DOI: 10.1007/s10822-015-9834-7

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  43 in total

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4.  Structure-based design and in-parallel synthesis of inhibitors of AmpC beta-lactamase.

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7.  Design, synthesis, crystal structures, and antimicrobial activity of sulfonamide boronic acids as β-lactamase inhibitors.

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8.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

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4.  Structure-based approach for identification of novel phenylboronic acids as serine-β-lactamase inhibitors.

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Journal:  J Comput Aided Mol Des       Date:  2016-09-08       Impact factor: 3.686

Review 5.  How Computational Chemistry and Drug Delivery Techniques Can Support the Development of New Anticancer Drugs.

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Journal:  Molecules       Date:  2020-04-10       Impact factor: 4.411

  5 in total

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