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Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning
Fungal secondary metabolites (SMs) play a significant role in the diversity of ecological communities, niches, and lifestyles in the fungal kingdom. Many fungal SMs have medically and industrially important properties including antifungal, antibacterial, and antitumor activity, and a single metaboli...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515863/ https://www.ncbi.nlm.nih.gov/pubmed/37745539 http://dx.doi.org/10.1101/2023.09.12.557468 |