benedekrozemberczki/tigerlily
TigerLily: Finding drug interactions in silico with the Graph.
This helps pharmaceutical researchers or drug discovery scientists predict potential adverse drug interactions early in the development process. It takes existing knowledge about drugs, proteins, and their known interactions, then generates a list of predicted new drug-drug interactions, identifying pairs that might have harmful effects. This speeds up the process of identifying drug safety concerns, reducing the need for costly and time-consuming laboratory experiments.
100 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly screen a large number of drug combinations for potential adverse interactions to prioritize further research or flag safety concerns.
Not ideal if you require explainable, mechanistic insights into *why* a drug interaction occurs rather than just a prediction of its likelihood.
Stars
100
Forks
9
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 17, 2022
Commits (30d)
0
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