Abstract
This study used computational techniques, including 3D enzyme structural modeling and molecular docking, to gain insight into the bioremediation of organic wastewater contaminants using E. coli esterase enzymes. Furthermore, a total of 24 wastewater organic chemicals belonging to different categories, such as pharmaceuticals, artificial sweeteners, pesticides/herbicides, endocrine disrupting chemicals, and persistent organic pollutants, were identified through the toxicology database. Comparative genetics and reported literature. Furthermore, 3D PDB and AlphaFold structures of 194 esterase enzymes from E. coli were retrieved by first identifying a common domain (Alpha Beta hydrolase domain) using the InterPro database. Molecular docking of esterase enzymes and pollutants was used, resulting in the best binding enzymes to their respective organic wastewater pollutants, including bezafibrate which showed the best binding with all enzymes ranging from -6.33 kcal/mol to -9.87 kcal/mol . Subsequently, the majority of the ligands (organic wastewater pollutants) reacted with enzymes such as the ORFC-like enzymes, which were computationally annotated in this study for the first time, yuaR (strain K12), menH (strain ETI89/UPEC), and menH (strain O157). :H7) has significant binding affinities and consists of a common Alpha Beta hydrolasefold-1 domain. This suggests that esterase enzymes containing the Alpha Beta hydrolasefold-1 domain may be involved in the efficient degradation of organic wastewater pollutants.