Adeleke Victoria T, Madlala Nkosinathi E, Adeniyi Adebayo A, Lokhat David
Discipline of Chemical Engineering, University of KwaZulu-Natal, Howard Campus, Durban 4041, South Africa.
Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein 9301, South Africa.
Molecules. 2022 Mar 4;27(5):1685. doi: 10.3390/molecules27051685.
The removal of organic pollutants is a major challenge in wastewater treatment technologies. Coagulation by plant proteins is a promising technique for this purpose. The use of these proteins has been experimentally investigated and reported in the literature. However, the determination of the molecular interactions of these species is experimentally challenging and the computational approach offers a suitable alternative in gathering useful information for this system. The present study used a molecular dynamic simulation approach to predict the potentials of using (MO), , , and plant proteins for the coagulation of organic pollutants and the possible mechanisms of coagulation of these proteins. The results showed that the physicochemical and structural properties of the proteins are linked to their performance. Maximum coagulation of organic molecules to the proteins is between 50-100%. Among five proteins studied for coagulation, and performed better than the well-known MO protein. The amino acid residues interacting with the organic molecules play a significant role in the coagulation and this is peculiar with each plant protein. Hydrogen bond and π-interactions dominate throughout the protein-pollutants molecular interactions. The reusability of the proteins after coagulation derived from their structural quality analysis along with the complexes looks promising and most of them are better than that of the MO. The results showed that the seed proteins studied have good prediction potentials to be used for the coagulation of organic pollutants from the environment, as well as the insights into their molecular activities for bioremediation.
去除有机污染物是废水处理技术中的一项重大挑战。植物蛋白凝聚是实现这一目标的一项有前景的技术。这些蛋白质的使用已在文献中进行了实验研究和报道。然而,确定这些物质的分子相互作用在实验上具有挑战性,而计算方法为收集该系统的有用信息提供了合适的替代方案。本研究采用分子动力学模拟方法来预测使用(MO)、、、和植物蛋白凝聚有机污染物的潜力以及这些蛋白质凝聚的可能机制。结果表明,蛋白质的物理化学和结构性质与其性能相关。有机分子与蛋白质的最大凝聚率在50 - 100%之间。在研究的用于凝聚的五种蛋白质中,和的表现优于著名的MO蛋白。与有机分子相互作用的氨基酸残基在凝聚过程中起重要作用,且每种植物蛋白都有其独特之处。氢键和π相互作用在整个蛋白质 - 污染物分子相互作用中占主导地位。从其结构质量分析以及复合物来看,凝聚后蛋白质的可重复使用性前景良好,且大多数优于MO蛋白。结果表明,所研究的种子蛋白在用于凝聚环境中的有机污染物方面具有良好的预测潜力,同时也为其生物修复的分子活性提供了见解。