期刊
JOURNAL OF MOLECULAR LIQUIDS
卷 329, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.molliq.2021.115526
关键词
Glycerophosphodiesterase; Organophosphate pesticides; Computational simulations
资金
- 90th Anniversary of Chulalongkorn University Fund (Ratchadaphiseksomphot Endowment Fund)
- Graduate School of CU
This study investigated the binding interactions of three organophosphate pesticides with GpdQ enzyme using computational approaches. The results showed that the pesticides binding could stabilize the enzyme structure in the active conformation, allowing the substrate to be catalyzed into less harmful products. The in silico analysis presented here could be informative for enhancing enzyme stability and activity in the future.
Glycerophosphodiesterase (GpdQ) from Enterobacter aerogenes is a binuclear metallohydrolase, which is capable of catalyzing the hydrolysis of mono-, di-, and tri-ester substrates, including some organophosphate pesticides and degradation products of nerve agents. The GpdQ has attracted recent attention as a promising enzyme for bioremediation. This enzyme utilizes two metal ions located in the alpha and beta sites of the enzyme active site for catalysis and is found to bind to Fe(II) ion preferentially. In this study, we aimed to investigate the binding interactions of three organophosphate pesticides (i.e., profenofos, diazinon and chlorpyrifos) to the GpdQ using computational approaches. Firstly, each pesticide molecule was separately docked into the active site of the GpdQ using molecular docking. Then, 500-ns MD simulations were carried out on the systems without (apo enzyme) and with pesticides bound. The MD results showed that the Fe-beta binds well with the GpdQ active site in the presence of pesticide. It is also seen that the binding of the pesticide could stabilize the enzyme structure in the active conformation, allowing the substrate to be catalysed into less harmful products. Therefore, the ability of in silico analysis presented here could be informative for enhancing enzyme stability and activity in the future. (C) 2021 Elsevier B.V. All rights reserved.
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