Environmental Health Division, CSIR-NEERI, Nagpur 440020, India.
Analytical Instrumentation Division, CSIR-NEERI, Nagpur 440020, India.
J Environ Sci (China). 2014 Nov 1;26(11):2307-14. doi: 10.1016/j.jes.2014.09.016. Epub 2014 Sep 29.
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.
计算化学被应用于理解有机氯农药硫丹的生物转化机制。已经充分证明了人细胞色素 P450(CYP)-2B6 对硫丹的立体特异性代谢活性。序列和结构相似性搜索表明,巨大芽孢杆菌编码的 CYP-BM3 与 CYP-2B6 相似。通过批量研究在生物体水平上研究了功能相似性,结果证明巨大芽孢杆菌可以像人系统中的 CYP-2B6 一样将硫丹代谢为硫丹硫酸酯。基因表达分析也证实了 CYP-BM3 可能在硫丹代谢中的作用。因此,我们的结果表明,基于蛋白质结构的计算方法可以帮助我们理解和识别微生物,以制定修复策略。据我们所知,这是第一个通过计算预测方法推断细菌基因用于代谢基因鉴定的硫丹生物转化的报告。