Validation of computationally predicted substrates for laccase

Present study reports the validation (oxidation) of computationally predicted oxidation of xenobiotic contaminants by commercially available pure laccase from Trametes versicolor. Selected contaminants were predicted as potential targets for laccase oxidation by using in-silico docking tool. The oxi...

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Main Authors: Reena, Purnima Dhall, Rita Kumar, Anil Kumar
Format: Article
Language:English
Published: Instituto de Tecnologia do Paraná (Tecpar) 2014-10-01
Series:Brazilian Archives of Biology and Technology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000500803&lng=en&tlng=en
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spelling doaj-fcfa88ca868640eeb55625a8cf2542b92020-11-24T22:51:26ZengInstituto de Tecnologia do Paraná (Tecpar)Brazilian Archives of Biology and Technology1678-43242014-10-0157580380910.1590/S1516-8913201402239S1516-89132014000500803Validation of computationally predicted substrates for laccaseReenaPurnima DhallRita KumarAnil KumarPresent study reports the validation (oxidation) of computationally predicted oxidation of xenobiotic contaminants by commercially available pure laccase from Trametes versicolor. Selected contaminants were predicted as potential targets for laccase oxidation by using in-silico docking tool. The oxidation by laccase was measured by change in absorbance at specific λ max of each compound. Sinapic acid and tyrosine were taken as positive and negative controls, respectively. Oxidation was observed in m-chlorophenol, 2,4 di-chlorophenol, 2,4,6 tri-chlorophenol, captan, atrazine and thiodicarb, except malathion, which showed no activity. It could be speculated that the predicted substrates showing oxidation shared homology at structural and chemical level with positive control compounds. In case of malathion, structural non-homology with sinapic acid could be attributed to its inactivity towards laccase that required further structural analysis. Thus, a remediation tool proposing an advanced remediation approach combining the application of theoretical in-silico method and subsequent experimental validation using pure laccase could be proposed. As number and type of xenobiotics increase, the unfeasibility to screen them experimentally for bioremediation also rise. This approach would be useful to reduce the time and cost required in other screening methods.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000500803&lng=en&tlng=enbiodegradationIn silico screeninglaccasexenobiotics
collection DOAJ
language English
format Article
sources DOAJ
author Reena
Purnima Dhall
Rita Kumar
Anil Kumar
spellingShingle Reena
Purnima Dhall
Rita Kumar
Anil Kumar
Validation of computationally predicted substrates for laccase
Brazilian Archives of Biology and Technology
biodegradation
In silico screening
laccase
xenobiotics
author_facet Reena
Purnima Dhall
Rita Kumar
Anil Kumar
author_sort Reena
title Validation of computationally predicted substrates for laccase
title_short Validation of computationally predicted substrates for laccase
title_full Validation of computationally predicted substrates for laccase
title_fullStr Validation of computationally predicted substrates for laccase
title_full_unstemmed Validation of computationally predicted substrates for laccase
title_sort validation of computationally predicted substrates for laccase
publisher Instituto de Tecnologia do Paraná (Tecpar)
series Brazilian Archives of Biology and Technology
issn 1678-4324
publishDate 2014-10-01
description Present study reports the validation (oxidation) of computationally predicted oxidation of xenobiotic contaminants by commercially available pure laccase from Trametes versicolor. Selected contaminants were predicted as potential targets for laccase oxidation by using in-silico docking tool. The oxidation by laccase was measured by change in absorbance at specific λ max of each compound. Sinapic acid and tyrosine were taken as positive and negative controls, respectively. Oxidation was observed in m-chlorophenol, 2,4 di-chlorophenol, 2,4,6 tri-chlorophenol, captan, atrazine and thiodicarb, except malathion, which showed no activity. It could be speculated that the predicted substrates showing oxidation shared homology at structural and chemical level with positive control compounds. In case of malathion, structural non-homology with sinapic acid could be attributed to its inactivity towards laccase that required further structural analysis. Thus, a remediation tool proposing an advanced remediation approach combining the application of theoretical in-silico method and subsequent experimental validation using pure laccase could be proposed. As number and type of xenobiotics increase, the unfeasibility to screen them experimentally for bioremediation also rise. This approach would be useful to reduce the time and cost required in other screening methods.
topic biodegradation
In silico screening
laccase
xenobiotics
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000500803&lng=en&tlng=en
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