Understanding Generative Models of Protein Sequences

This lecture by the instructor covers a unified framework for understanding and evaluating generative sequence models of DNA/RNA or Protein. Topics include multiple sequence alignment, coevolution, conservation, phylogenetics, and different models such as GREMLIN, BERT, and Autoencoders. The lecture explores how these models can be used for protein classification, design, and engineering, as well as the optimization and saliency analysis techniques involved in these models.