Merck/deepbgc
BGC Detection and Classification Using Deep Learning
DeepBGC helps microbiologists and geneticists quickly identify regions in bacterial and fungal genomes that are likely to produce natural products, known as Biosynthetic Gene Clusters (BGCs). You input a genomic sequence (e.g., a FASTA file), and it outputs predicted BGC locations along with their likely product classes and activities. This tool is designed for researchers studying microbial secondary metabolism or discovering new natural compounds.
156 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly screen microbial genomes to find potential natural product synthesis pathways without extensive manual annotation.
Not ideal if you are analyzing genomes from organisms other than bacteria or fungi, or if you need to predict the exact chemical structure of the natural products.
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156
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29
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 11, 2023
Commits (30d)
0
Dependencies
11
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