El-Attar Noha E, Awad Wael A
Basic Science Department, Faculty of Engineering, Delta University, Mansoura, Egypt.
Mathematics & Computer Science Dept. Faculty of Science, PortSaid University, PortSaid, Egypt.
Adv Appl Bioinform Chem. 2017 Sep 5;10:65-78. doi: 10.2147/AABC.S138944. eCollection 2017.
Day after day, the importance of relying on nature in many fields such as food, medical, pharmaceutical industries, and others is increasing. Essential oils (EOs) are considered as one of the most significant natural products for use as antimicrobials, antioxidants, antitumorals, and anti-inflammatories. Optimizing the usage of EOs is a big challenge faced by the scientific researchers because of the complexity of chemical composition of every EO, in addition to the difficulties to determine the best in inhibiting the bacterial activity. The goal of this article is to present a new computational tool based on two methodologies: reduction by using rough sets and optimization with particle swarm optimization. The developed tool dubbed as Essential Oil Reduction and Optimization Tool is applied on 24 types of EOs that have been tested toward 17 different species of bacteria.
日复一日,在食品、医疗、制药等诸多领域依赖自然的重要性与日俱增。精油被认为是用作抗菌剂、抗氧化剂、抗肿瘤剂和抗炎剂的最重要天然产物之一。由于每种精油化学成分的复杂性,以及确定抑制细菌活性最佳成分的困难,优化精油的使用是科研人员面临的一大挑战。本文的目的是提出一种基于两种方法的新计算工具:使用粗糙集进行约简和使用粒子群优化进行优化。所开发的工具名为精油约简与优化工具,应用于已针对17种不同细菌物种进行测试的24种精油。