yifan1207/Quantum-Based-Machine-Learning-Simulation
A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process
This project helps pharmaceutical researchers and drug discovery scientists accelerate the early stages of drug development. It takes information about a target virus and an initial pool of potential molecules, then uses advanced computational methods to generate, filter, and optimize drug candidates. The output is a list of promising, safe, and effective drug candidates ready for pre-clinical trials, significantly shortening the drug discovery timeline.
No commits in the last 6 months.
Use this if you are a drug discovery scientist looking to drastically reduce the time and cost associated with identifying promising drug candidates for a specific viral target.
Not ideal if you are seeking a solution for later-stage clinical trials, manufacturing optimization, or a general-purpose molecular simulation tool not focused on drug candidate identification.
Stars
39
Forks
6
Language
Python
License
CC0-1.0
Category
Last pushed
Nov 07, 2024
Commits (30d)
0
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