Essential oils for the treatment of herpes virus infections: A critical appraisal applying artificial intelligence and statistical analysis tools
Başlık çevirisi mevcut değil.
- Tez No: 644653
- Danışmanlar: DR. JOSE PRİETO GARCİA
- Tez Türü: Yüksek Lisans
- Konular: Tıbbi Biyoloji, Kimya Mühendisliği, Medical Biology, Chemical Engineering
- Anahtar Kelimeler: Essential oils, HSV, anti-herpetic activity, multiple linear regression, artificial neural networks
- Yıl: 2016
- Dil: İngilizce
- Üniversite: Unıversıty Of London - Unıversıty College London
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
4AbstractINTRODUCTION:HSV infections are a worldwide problem conventionally treated with acyclovir (ACV). However, the widespread use of the drug has led to the increasing incidence of ACV-resistant infections,mainly among immunocompromised patients. At this stage, natural products such as essential oils (EOs) that are endowed with anti-herpetic activities have been of interest, and a number of studies have been published so far, but the chemical variability of the EO compositions and the chemical interactions, synergismsand antagonisms between EO components have led to irreproducible studies. AIMS:The aim of this project is to evaluate the use of the statistical analysis and artificial neural networks (ANNs) for the prediction of the anti-herpetic activity of EOs.METHODS:A selection of published articles on the activity of EOs and individual volatile compounds against HSV-1 and HSV-2 was made based on the specified criteria (more than 80% of the whole EO composition provided, antiviral activity explained as IC50values,and either Vero cells or RC-37 cell lines used in antiviral assays). By providing the IC50values of the EOs and the percentages of the selected compounds both majors (present with a higher percentage than 5% of the whole content) and actives, data sets forstatistical analysis and ANNs were designated. SPSS version 24 was used for the statistical analysis, and Simbrain version 13 was the chosen software for ANNs. RESULTS:According to the multiple linear regression analysis,a set of six compounds was suggested as the most significant model for the regression equation obtained by the data sets of HSV-1: linalool, citral, β-thujone, α-thujone, p-mentha-1(7),8-diene and camphene. Although linalool and citral compounds'activity against HSVis generally understood, the other four have not been explored in the literature regarding their efficacy against HSV. Furthermore, the application of different data sets to ANN software showed that ANNs trained with sets containing EOs with a wide range of IC50values couldbetter predict the real values.CONCLUSION:The proposed compounds by the statistical analysis either as a set or individually might be studied further for their anti-HSV activity. Moreover, with suitable data sets, ANNs might be fast, cheap and useful tools for predicting the anti-herpetic activity of EOs. Developing technologyfor in silicostudies such as statistical analysis and ANNs might be enhanced and bring more insight to the field.
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