Binding Affinity Prediction with ML-Based Docking - Lab 2
Offered By: Valence Labs via YouTube
Course Description
Overview
Explore a recorded session from the 2024 Machine Learning for Drug Discovery Summer School hosted at Mila, focusing on binding affinity prediction using machine learning-based docking techniques. Learn from speakers Stephan Thaler and Cristian Gabellini as they delve into the intricacies of Lab 2, which covers the explanation of ML-based docking for predicting binding affinities. Gain valuable insights into this cutting-edge approach in drug discovery over the course of 26 minutes. For those interested in connecting with the speakers and accessing additional resources, visit the Valence Labs portal at https://portal.valencelabs.com/.
Syllabus
Lab 2 - Binding Affinity Prediction with ML Based Docking Explanation
Taught by
Valence Labs
Related Courses
SARS-CoV-2 Protein Modeling and Drug DockingCoursera Project Network via Coursera Protein Annotations
YouTube Protein Analysis
YouTube Molecular Docking with AutoDock VINA - Script-Based Method for Multiple Ligands
Bioinformatics With BB via YouTube Molecular Docking and Virtual Screening with AutoDock VINA - Bioinformatics Tutorial
Bioinformatics With BB via YouTube