mohammad-gh009/DrugReasoner
Predicting drug approval with reasoning.
This tool helps pharmaceutical researchers and drug developers predict whether a new drug candidate is likely to receive regulatory approval. By inputting the molecular structure (SMILES string) of a compound, it outputs a prediction of approval along with an explanation of the reasoning and similar approved/non-approved compounds for context. It is designed for medicinal chemists, pharmacologists, and R&D teams in the pharmaceutical industry.
Use this if you need to quickly assess the approval potential of drug candidates based on their molecular structure and desire an interpretable explanation for the prediction.
Not ideal if you lack access to a CUDA-compatible GPU or prefer not to use Python workflows for your analysis.
Stars
11
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 26, 2026
Commits (30d)
0
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