Developed an AI system that generates drug-like molecules to inhibit a target protein using an autoencoder model to create a continuous chemical space, a 1D-CNN for measuring the inhibition score, and a swarm-based optimization algorithm for optimizing molecules. Performed 10.6% better than state-of-the-art models on several benchmark datasets.
-
Notifications
You must be signed in to change notification settings - Fork 0
alikilic1631/DrugNet-Faster-Drug-Discovery-Using-Generative-Deep-Learning
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published