Drug Discovery Courses
Valence Labs via YouTube Fragment-Based Hit Discovery via Unsupervised Learning of Fragment-Protein Complexes
Valence Labs via YouTube Interpretable Chirality-Aware Graph Neural Networks for QSAR Modeling in Drug Discovery
Valence Labs via YouTube Structure-Aware Protein Self-Supervised Learning
Valence Labs via YouTube Neural Network Potentials for Low-Energy 3D Structure Generation and Reactivity Prediction
Valence Labs via YouTube Molecule Representation Learning: A Perspective from Topology, Geometry, and Textual Description
Valence Labs via YouTube ProtMD: Incorporating Conformation Flexibility for Drug Binding via Pretraining on MD Simulations
Valence Labs via YouTube DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Valence Labs via YouTube Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Valence Labs via YouTube Predicting Single-Cell Perturbation Responses for Unseen Drugs
Valence Labs via YouTube