Comparative analysis among the degradation potential of enzymes obtained from Escherichia coli against the toxicity of sulfur dyes through molecular docking

Muhammad Naveed, Maida Salah Ud Din,Tariq Aziz, Tayyab Javed, Sana Miraj Khan, Rida Naveed,Ayaz Ali Khan,Metab Alharbi

ZEITSCHRIFT FUR NATURFORSCHUNG SECTION C-A JOURNAL OF BIOSCIENCES(2024)

引用 0|浏览0
暂无评分
摘要
The common bacterium Escherichia coli has demonstrated potential in the field of biodegradation. E. coli is naturally capable of biodegradation because it carries a variety of enzymes that are essential for the breakdown of different substances. The degradation process is effectively catalyzed by these enzymes. The collaborative effects of E. coli's aryl sulfotransferase, alkanesulfonate moonoxygenase, and azoreductase enzymes on the breakdown of sulfur dyes from industrial effluents are investigated in this work. ExPASY ProtParam was used to confirm the stability of the enzyme, showing an instability index less than 40. We determined the maximum binding affinities of these enzymes with sulfur dye pollutants - 1-naphthalenesulfonic acid, sulfogene, sulfur green 3, sulfur red 6, sulfur red 1, sulfur yellow 2, thianthrene, thiazone, and thional - using comparative molecular docking. Significantly, the highest binding affinity was shown by monooxygenase (-12.1), whereas aryl sulfotransferase and azoreductase demonstrated significant energies of -11.8 and -11.4, respectively. The interactions between proteins and ligands in the docked complexes were examined. To evaluate their combined effects, co-expression analysis of genes and enzyme bioengineering were carried out. Using aryl sulfotransferase, alkanesulfonate monooxygenase, and azoreductase, this study investigates the enzymatic degradation of sulfur dye pollutants, thereby promoting environmentally friendly and effective sulfur dye pollutant management.
更多
查看译文
关键词
degradation potenital,E. coli,toxicity,sulfur dyes,molecular docking,comparative analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要