Machine Learning for Protein Structure Prediction - AlphaFold2 and OpenFold - Part 3

Learn about the limitations of AlphaFold2 and evolutionary machine learning pipelines in this lecture from Harvard CMSA's special series on Machine Learning and Protein Folding. Explore key insights gained from OpenFold's retraining of AlphaFold2, focusing on its generalization capabilities and structural prediction mechanisms. Delve into detailed discussions about protein structure prediction methodologies, examining how machine learning approaches have evolved and their current constraints in the field of computational biology. Gain valuable understanding of both theoretical frameworks and practical applications in protein folding prediction through this comprehensive 93-minute presentation.