smortezah/napr
Machine learning meets natural products
This project helps chemists and researchers explore and classify natural product compounds, specifically terpenes. It takes chemical structure data as input and uses machine learning to identify patterns, classify compounds, and provide insights into the natural products chemical space. It's designed for natural product chemists, pharmacognosists, and cheminformaticians.
No commits in the last 6 months.
Use this if you need to analyze large datasets of natural product structures to find new classifications or explore chemical diversity.
Not ideal if you're looking for a tool to synthesize new compounds or perform quantum chemical calculations.
Stars
11
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 02, 2022
Commits (30d)
0
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