Literature DB >> 19791786

High level QM/MM modeling of the formation of the tetrahedral intermediate in the acylation of wild type and K73A mutant TEM-1 class A beta-lactamase.

Johannes C Hermann1, Juliette Pradon, Jeremy N Harvey, Adrian J Mulholland.   

Abstract

The breakdown of beta-lactam antibiotics by beta-lactamases is the most important resistance mechanism of gram negative bacteria against these drugs. The reaction mechanism of class A beta-lactamases, the most widespread family of these enzymes, consists of two main steps: acylation of an active site serine by the antibiotic, followed by deacylation and release of the cleaved compound. We have investigated the first step in acylation (the formation of the tetrahedral intermediate) for the reaction of benzylpenicillin in the TEM-1 enzyme using high level combined quantum mechanics/molecular mechanics (QM/MM) methods. Structures were optimized at the B3LYP/6-31+G(d)/CHARMM27 level, with energies for key points calculated up to the ab initio SCS-MP2/aug-cc-pVTZ/CHARMM27 level. The results support a mechanism in which Glu166 removes a proton (via an intervening water molecule) from Ser70, which in turn attacks the beta-lactam of the antibiotic. Depending on the method used, the calculated barriers range from 3 to 12 kcal mol(-1) for this step, consistent with experimental data. We have also modeled this reaction step in a model of the K73A mutant enzyme. The barrier to reaction in this mutant model is found to be slightly higher: the results indicate that Lys73 stabilizes the transition state, in particular deprotonated Ser70, lowering the barrier by about 1.7 kcal mol(-1). This finding may help to explain the conservation of Lys73, in addition to the role we have previously found for it in the later stages of the reaction (Hermann et al. Org. Biomol. Chem. 2006, 4, 206-210).

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Year:  2009        PMID: 19791786     DOI: 10.1021/jp9037254

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  7 in total

1.  Molecular dynamics of class A β-lactamases-effects of substrate binding.

Authors:  Olivier Fisette; Stéphane Gagné; Patrick Lagüe
Journal:  Biophys J       Date:  2012-10-16       Impact factor: 4.033

2.  Excess positional mutual information predicts both local and allosteric mutations affecting beta lactamase drug resistance.

Authors:  George A Cortina; Peter M Kasson
Journal:  Bioinformatics       Date:  2016-07-27       Impact factor: 6.937

3.  Crystal structure of a preacylation complex of the β-lactamase inhibitor sulbactam bound to a sulfenamide bond-containing thiol-β-lactamase.

Authors:  Elizabeth A Rodkey; Sarah M Drawz; Jared M Sampson; Christopher R Bethel; Robert A Bonomo; Focco van den Akker
Journal:  J Am Chem Soc       Date:  2012-09-26       Impact factor: 15.419

4.  In silico screening of 393 mutants facilitates enzyme engineering of amidase activity in CalB.

Authors:  Martin R Hediger; Luca De Vico; Julie B Rannes; Christian Jäckel; Werner Besenmatter; Allan Svendsen; Jan H Jensen
Journal:  PeerJ       Date:  2013-08-29       Impact factor: 2.984

Review 5.  β-Lactamases and β-Lactamase Inhibitors in the 21st Century.

Authors:  Catherine L Tooke; Philip Hinchliffe; Eilis C Bragginton; Charlotte K Colenso; Viivi H A Hirvonen; Yuiko Takebayashi; James Spencer
Journal:  J Mol Biol       Date:  2019-04-05       Impact factor: 5.469

6.  A computational methodology to screen activities of enzyme variants.

Authors:  Martin R Hediger; Luca De Vico; Allan Svendsen; Werner Besenmatter; Jan H Jensen
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

7.  Enumerating pathways of proton abstraction based on a spatial and electrostatic analysis of residues in the catalytic site.

Authors:  Sandeep Chakraborty
Journal:  PLoS One       Date:  2012-06-20       Impact factor: 3.240

  7 in total

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