Protein Folding Algorithms - Lecture 9

Explore protein folding algorithms in this comprehensive lecture from the Machine Learning in Computational Biology (MLCB) series. Delve into the intricate world of protein structures and the computational methods used to predict them. Learn about various approaches to solving the protein folding problem, including energy minimization, molecular dynamics simulations, and machine learning techniques. Discover how these algorithms contribute to our understanding of protein function and their applications in drug discovery and disease research. Gain insights into the challenges and recent advancements in the field of protein structure prediction, including the impact of deep learning models like AlphaFold. Enhance your knowledge of computational biology and its intersection with machine learning in this informative 1-hour and 20-minute session.