漆酶
生物修复
污染物
公共化学
蛋白质数据库
对接(动物)
蛋白质数据库
菲
化学
虚拟筛选
生物信息学
异型生物质的
酶
生物降解
环境化学
生物化学
生物
有机化学
蛋白质结构
药物发现
污染
生态学
护理部
基因
医学
作者
Panneer Selvam Suresh,Anil Kumar,Ram Kumar,V. P. Singh
标识
DOI:10.1016/j.jmgm.2007.05.005
摘要
Laccase (E.C. 1.10.3.2) is one of the well-studied enzymes used for bioremediation of xenobiotics such as phenols, anilines, etc. Its broad substrate specificity offers a wide opportunity for screening pollutants in order to predict potential targets for degradation. Present study utilizes protein-ligand docking as a tool to achieve the said. For virtual screening, a set of pollutants were selected from five different industries from EPA. X-ray crystal structures of laccase enzymes were taken from the Brookhaven Protein Data Bank (PDB). Two-dimensional structures of pollutants were downloaded from the NCBI Pubchem, which were further converted into three-dimensional structures using CORINA. Protein-ligand docking was carried out using GOLD. Nearly 30 and 17% of the selected datasets showed the best average GOLD fitness score for fungal and bacterial laccase enzyme respectively, suggesting thereby that laccase might be able to oxidize these pollutants. Moreover, in few cases like anthracene, phenanthrene, etc., there is experimental data to support this hypothesis. Similar kind of work would be helpful to find putative pollutants for other biodegradative enzymes.
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