ArticleFrontiers in chemistry2021
Effective Search of Triterpenes with Anti-HSV-1 Activity Using a Classification Model by Logistic Regression.
Article in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Highly efficient synthesis of the natural product β-himachalene in yeast and its potential as a novel anti-HSV-1 therapeutic agent.Synthetic and systems biotechnology · 2025Article
- Selected Plant Triterpenoids and Their Derivatives as Antiviral Agents.Molecules (Basel, Switzerland) · 2023Review
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6 authors.
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Abstract
Natural products are an excellent source of skeletons for medicinal seeds. Triterpenes and saponins are representative natural products that exhibit anti-herpes simplex virus type 1 (HSV-1) activity. However, there has been a lack of comprehensive information on the anti-HSV-1 activity of triterpenes. Therefore, expanding information on the anti-HSV-1 activity of triterpenes and improving the efficiency of their exploration are urgently required. To improve the efficiency of the development of anti-HSV-1 active compounds, we constructed a predictive model for the anti-HSV-1 activity of triterpenes by using the information obtained from previous studies using machine learning methods. In this study, we constructed a binary classification model (i.e., active or inactive) using a logistic regression algorithm. As a result of the evaluation of predictive model, the accuracy for the test data is 0.79, and the area under the curve (AUC) is 0.86. Additionally, to enrich the information on the anti-HSV-1 activity of triterpenes, a plaque reduction assay was performed on 20 triterpenes. As a result, chikusetsusaponin IVa (
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