Quantitative-structure-activity relationship study to predict the antifungal activity of essential oils against Fusarium verticillioides
| Autor: | Fernanda Achimón, Julio Alberto Zygadlo, Andrés G. Jacquat, Virginia Lara Usseglio, Alejandro E. Cuello, José Sebastián Dambolena, Romina Paola Pizzolitto |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Antifungal
Fusarium Quantitative structure–activity relationship medicine.drug_class PREDICTIVE MODEL 01 natural sciences Ciencias Biológicas 0404 agricultural biotechnology medicine Food science FUSARIUM VERTICILLIOIDES biology QSAR 010401 analytical chemistry food and beverages 04 agricultural and veterinary sciences Origanum Fungal pathogen biology.organism_classification Grain storage 040401 food science 0104 chemical sciences ESSENTIAL OILS Micología CIENCIAS NATURALES Y EXACTAS Food Science Biotechnology |
| Popis: | Fusarium verticillioides is the principal fungal pathogen affecting corn maize both in the field and/or during grain storage. The efficiency of essential oils (EOs) as antifungals has been well established against many phytopathogenic fungi, so the aim of this QSAR study was to design a mathematical model using arbitrary descriptors based on EO components to predict antifungal activity. The EOs that reported the highest activity were Origanum spp. The results obtained in the QSAR analysis revealed a statistically significant model (P |
| Databáze: | OpenAIRE |
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