Literature DB >> 21933689

Combined docking and molecular dynamics simulations to enlighten the capacity of Pseudomonas cepacia and Candida antarctica lipases to catalyze quercetin acetylation.

Bidouil Christelle1, Basilio De Oliveira Eduardo, Chebil Latifa, Maia Elaine-Rose, Maigret Bernard, Ronat-Heidt Evelyne, Ghoul Mohamed, Engasser Jean-Marc, Humeau Catherine.   

Abstract

A combined docking and molecular dynamics protocol was applied to investigate quercetin binding modes within the catalytic cavity of Candida antarctica lipase B (CALB) and Pseudomonas cepacia lipase (PCL), aiming to explain the difference of specificity of these enzymes in acetylation reaction. For both lipases, docking of quercetin yielded two families of conformers with either the quercetin A or B-ring pointing towards the catalytic residues. Molecular dynamics (MD) calculations were subsequently performed on several complexes of each family. MD trajectories were analyzed focusing on the orientation of the acyl donor bound to the catalytic serine towards the oxyanion hole residues and the proximity of quercetin hydroxyl groups to the catalytic residues. Results showed that with CALB, the acetate was not correctly positioned within the oxyanion hole whatever the orientation of quercetin, suggesting that no product could be obtained. With PCL, the acetate remained within the oxyanion hole during all MD trajectories. Depending on quercetin orientation, either the 7-OH group or the 3, 5, 3', 4'-OH groups came alternatively near the catalytic residues, suggesting that all of them could be acylated. The capacity of models to explain the regioselectivity of the reaction was discussed. Key residues and interactions involved in quercetin binding modes were identified and related to the reaction feasibility.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21933689     DOI: 10.1016/j.jbiotec.2011.09.007

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  3 in total

1.  Computational analysis of the solvation of coffee ingredients in aqueous ionic liquid mixtures.

Authors:  Veronika Zeindlhofer; Diana Khlan; Katharina Bica; Christian Schröder
Journal:  RSC Adv       Date:  2017-01-13       Impact factor: 3.361

2.  Calculation of substrate binding affinities for a bacterial GH78 rhamnosidase through molecular dynamics simulations.

Authors:  Melanie Grandits; Herbert Michlmayr; Christoph Sygmund; Chris Oostenbrink
Journal:  J Mol Catal B Enzym       Date:  2013-08

3.  Identification of Anti-Mycobacterium and Anti-Legionella Compounds With Potential Distinctive Structural Scaffolds From an HD-PBL Using Phenotypic Screens in Amoebae Host Models.

Authors:  Nabil Hanna; Sébastien Kicka; Gianpaolo Chiriano; Christopher Harrison; Hajer Ouertatani Sakouhi; Valentin Trofimov; Agata Kranjc; Jahn Nitschke; Marco Pagni; Pierre Cosson; Hubert Hilbi; Leonardo Scapozza; Thierry Soldati
Journal:  Front Microbiol       Date:  2020-02-21       Impact factor: 5.640

  3 in total

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