Tingbo Wang , Jing Miao , Yihe Chang , Xinyue Liang , Fang Li , Huizhe Lu
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引用次数: 0
Abstract
Pest infestations have been posing a serious and persistent threat to agricultural production. Traditional insecticides are currently confronted with a multitude of problems. The discovery of novel insecticide targets and the screening of active molecules can offer an entirely new direction for surmounting the limitations of traditional insecticides and lay a solid foundation for the development of highly effective insecticides with distinctive mechanisms of action. In this study, the Na+,K+-ATPase of Drosophila melanogaster has been selected as the target. Its three-dimensional structure has been constructed via homology modeling, and the evaluation has indicated that its quality is reliable. Subsequently, techniques including virtual screening, molecular docking, and molecular dynamics simulation have been employed to screen compounds and investigate their mechanisms of action. The analysis of binding modes has demonstrated that hydrogen bonding and hydrophobic interactions have played a crucial role in the binding of ligands. Molecular dynamics simulations and calculations of binding free energies have shown that Compound 1 and Compound 2 have exhibited similar or even stronger affinities in comparison to known inhibitors. Residue decomposition free energy reveals the types of key amino acid residues involved in the interaction between these compounds and NKA. Preliminary bioactivity assays have verified the bioactivities of these compounds. Ouabain, Compound 1, Compound 2, and Compound 4 have shown significant delayed toxic effects, with Compound 4 having a more pronounced delayed effect. Our study has provided certain valuable ideas and insights for the development of new insecticide molecules targeting the Na+,K+-ATPase of Drosophila melanogaster.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.