ArticleAdvances and applications in bioinformatics and chemistry : AABC2017
Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth.
Article in Advances and applications in bioinformatics and chemistry : AABC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Structure-based chemical ontology improves chemometric prediction of antibacterial essential oils.Scientific reports · 2024Article
- Virtual screening of antimicrobial plant extracts by machine-learning classification of chemical compounds in semantic space.PloS one · 2023Article
- Polymeric Carriers Designed for Encapsulation of Essential Oils with Biological Activity.Pharmaceutics · 2021Review
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Authors and funding
2 authors.
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Abstract
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.
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Registered trials
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