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Targeting the cell wall of Mycobacterium tuberculosis: a molecular modeling investigation of the interaction of imipenem and meropenem with L,D-transpeptidase 2
Authors:José Rogério A. Silva  William R. Bishai  Thavendran Govender  Gyanu Lamichhane  Glenn E.M. Maguire  Hendrik G. Kruger
Affiliation:1. Laboratório de Planejamento e Desenvolvimento de Fármacos, Instituto de Ciências Exatas e Naturais, Universidade Federal do Pará, CP 11101, Belém, PA 66075-110, Brazil;2. Department of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;3. Catalysis and Peptide Research Unit, School of Health Sciences, University of KwaZulu-Natal, Durban 4001, South Africa;4. Taskforce to study Resistance Emergence &5. Antimicrobial Development Technology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
Abstract:The single crystal X-ray structure of the extracellular portion of the L,D-transpeptidase (ex-LdtMt2 – residues 120–408) enzyme was recently reported. It was observed that imipenem and meropenem inhibit activity of this enzyme, responsible for generating L,D-transpeptide linkages in the peptidoglycan layer of Mycobacterium tuberculosis. Imipenem is more active and isothermal titration calorimetry experiments revealed that meropenem is subjected to an entropy penalty upon binding to the enzyme. Herein, we report a molecular modeling approach to obtain a molecular view of the inhibitor/enzyme interactions. The average binding free energies for nine commercially available inhibitors were calculated using MM/GBSA and Solvation Interaction Energy (SIE) approaches and the calculated energies corresponded well with the available experimentally observed results. The method reproduces the same order of binding energies as experimentally observed for imipenem and meropenem. We have also demonstrated that SIE is a reasonably accurate and cost-effective free energy method, which can be used to predict carbapenem affinities for this enzyme. A theoretical explanation was offered for the experimental entropy penalty observed for meropenem, creating optimism that this computational model can serve as a potential computational model for other researchers in the field.
Keywords:carbapenems  binding free energy  GBSA  SIE  molecular dynamics  Mycobacterium tuberculosis  L,D-transpeptidase
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