Projects
Development and Optimization of NeuralNetworks for Predicting Molecular DockingScores
This semester, we explored how machine learning can accelerate drug discovery — specifically, how it can be used to predict molecular docking scores without running expensive simulations. Docking simulations are commonly used to evaluate how well a small molecule (such as a drug candidate) binds to a target protein — Read more…