Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning
O. Riedling, A. S. Walker, A. Rokas
This study uses machine learning to predict fungal secondary metabolite bioactivity from biosynthetic gene clusters, finding higher accuracy when combining bacterial and fungal data.
bioRxiv · Sep 12, 2023Microbiology