Literature DB >> 30081341

Mutational analysis of phenolic acid decarboxylase from Enterobacter sp. Px6-4. towards enhancement of binding affinity: A computational approach.

Pravin Kumar1, Priya Kumari1, Shashwati Ghosh Sachan1, Raju Poddar2.   

Abstract

Microbial Ferulic Acid Decarboxylase (FADase) catalyses the conversion of ferulic acid to 4-hydroxy-3-methoxystyrene (4-vinylguaiacol) via non-oxidative decarboxylation. In this article, we present a computational, three-dimensional structural and functional analysis of FADase from Enterobacter sp. P × 6-4 (3NX1) which can be used to generate enhanced bindings of substrates. The enzymatic catalytic site and binding sites have been critically evaluated. Sequential site directed mutations on enzyme have also been introduced for formation of a greater number of hydrogen bonds. Four mutants were generated based on our hypothesis. Active sites of mutated FADases have been analyzed with dynamic cross-correlation maps and principle components analysis. All structures were validated and optimized through energy minimization. Docking studies were also carried out between ferulic acid and different mutated enzymes. The protein (wild and mutants) complexes were further validated with molecular simulation. Mutant3 was found to have better affinity towards ferulic acid. Mutant3 also forms a higher number of hydrogen bonds with the substrate to facilitate greater interaction. This current work will help industry to create new and novel mutants to produce vanillin.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Docking; Dynamic Cross Correlation (DCCM); Ferulic acid decarboxylase; Principal Component Analysis (PCA); Root mean square deviation (RMSD); Root mean square fluctuation (RMSF)

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Year:  2018        PMID: 30081341     DOI: 10.1016/j.compbiolchem.2018.06.004

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  1 in total

1.  Investigation of the target-site resistance of EPSP synthase mutants P106T and T102I/P106S against glyphosate.

Authors:  Emily C M Fonseca; Kauê S da Costa; Jerônimo Lameira; Cláudio Nahum Alves; Anderson H Lima
Journal:  RSC Adv       Date:  2020-12-16       Impact factor: 4.036

  1 in total

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