http://www.cnr.it/ontology/cnr/individuo/prodotto/ID292805
Cytochrome P450 BM3 of Bacillus megaterium - A possible endosulfan biotransforming gene (Articolo in rivista)
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- Label
- Cytochrome P450 BM3 of Bacillus megaterium - A possible endosulfan biotransforming gene (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
Seralathan, Muhil Vannan; Sivanesan, Saravanadevi; Bafana, Amit; Kashyap, Sanjay Madanchand; Patrizio, Arrigo; Krishnamurthi, Kannan; Chakrabarti, Tapan (2014)
Cytochrome P450 BM3 of Bacillus megaterium - A possible endosulfan biotransforming gene
in Journal of Environmental Sciences 2010, 22(9) 1357-1363
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- Seralathan, Muhil Vannan; Sivanesan, Saravanadevi; Bafana, Amit; Kashyap, Sanjay Madanchand; Patrizio, Arrigo; Krishnamurthi, Kannan; Chakrabarti, Tapan (literal)
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- Natl Environm Engn Res Inst; Natl Environm Engn Res Inst; CNR (literal)
- Titolo
- Cytochrome P450 BM3 of Bacillus megaterium - A possible endosulfan biotransforming gene (literal)
- Abstract
- Computing chemistry was applied to understand biotransformation mechanism of an organochlorine pesticide, endosulfan. The stereo specific metabolic activity of human CYP-2B6 (cytochrome P450) on endosulfan has been well demonstrated. Sequence and structural similarity search revealed that the bacterium Bacillus megaterium encodes CYP-BM3, which is similar to CYP-2B6. The functional similarity was studied at organism level by batch-scale studies and it was proved that B. megaterium could metabolize endosulfan to endosulfan sulfate, as CYP-2B6 does in human system. The gene expression analyses also confirmed the possible role of CYP-BM3 in endosulfan metabolism. Thus, our results show that the protein structure based in-silico approach can help us to understand and identify microbes for remediation strategy development. To the best of our knowledge this is the first report which has extrapolated the bacterial gene for endosulfan biotransformation through in silico prediction approach for metabolic gene identification. (C) 2014 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. (literal)
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