Literature DB >> 24794636

Structural and energetic analysis to provide insight residues of CYP2C9, 2C11 and 2E1 involved in valproic acid dehydrogenation selectivity.

Martiniano Bello1, Jessica E Mendieta-Wejebe2, José Correa-Basurto3.   

Abstract

Docking and molecular dynamics (MD) simulation have been two computational techniques used to gain insight about the substrate orientation within protein active sites, allowing to identify potential residues involved in the binding and catalytic mechanisms. In this study, both methods were combined to predict the regioselectivity in the binding mode of valproic acid (VPA) on three cytochrome P-450 (CYP) isoforms CYP2C9, CYP2C11, and CYP2E1, which are involved in the biotransformation of VPA yielding reactive hepatotoxic intermediate 2-n-propyl-4-pentenoic acid (4nVPA). There are experimental data about hydrogen atom abstraction of the C4-position of VPA to yield 4nVPA, however, there are not structural evidence about the binding mode of VPA and 4nVPA on CYPs. Therefore, the complexes between these CYP isoforms and VPA or 4nVPA were studied to explore their differences in binding and energetic stabilization. Docking results showed that VPA and 4nVPA are coupled into CYPs binding site in a similar conformation, but it does not explain the VPA hydrogen atom abstraction. On the other hand, MD simulations showed a set of energetic states that reorient VPA at the first ns, then making it susceptible to a dehydrogenation reaction. For 4nVPA, multiple binding modes were observed in which the different states could favor either undergo other reaction mechanism or ligand expulsion from the binding site. Otherwise, the energetic and entropic contribution point out a similar behavior for the three CYP complexes, showing as expected a more energetically favorable binding free energy for the complexes between CYPs and VPA than with 4nVPA.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CYP450 enzymes; Drug metabolism; Molecular dynamics simulations; Molecular mechanics generalized born surface area

Mesh:

Substances:

Year:  2014        PMID: 24794636     DOI: 10.1016/j.bcp.2014.04.016

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  5 in total

1.  Molecular Dynamics Simulation Framework to Probe the Binding Hypothesis of CYP3A4 Inhibitors.

Authors:  Yusra Sajid Kiani; Kara E Ranaghan; Ishrat Jabeen; Adrian J Mulholland
Journal:  Int J Mol Sci       Date:  2019-09-10       Impact factor: 5.923

2.  Identification of saquinavir as a potent inhibitor of dimeric SARS-CoV2 main protease through MM/GBSA.

Authors:  Martiniano Bello; Alberto Martínez-Muñoz; Irving Balbuena-Rebolledo
Journal:  J Mol Model       Date:  2020-11-12       Impact factor: 1.810

3.  Molecular Dynamics Assisted Mechanistic Study of Isoniazid-Resistance against Mycobacterium tuberculosis InhA.

Authors:  Vivek Kumar; M Elizabeth Sobhia
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

4.  Prediction of potential inhibitors of the dimeric SARS-CoV2 main proteinase through the MM/GBSA approach.

Authors:  Martiniano Bello
Journal:  J Mol Graph Model       Date:  2020-09-24       Impact factor: 2.518

Review 5.  Role of Mitochondrial Cytochrome P450 2E1 in Healthy and Diseased Liver.

Authors:  Julie Massart; Karima Begriche; Jessica H Hartman; Bernard Fromenty
Journal:  Cells       Date:  2022-01-15       Impact factor: 7.666

  5 in total

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