YoVDO

Binding Affinity Prediction with ML-Based Docking - Lab 2

Offered By: Valence Labs via YouTube

Tags

Drug Discovery Courses Bioinformatics Courses Machine Learning Courses Computational Chemistry Courses Protein-Ligand Interactions Courses Molecular Docking Courses Structure-Based Drug Design Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent