Protein Structure Prediction: Alphafold2

This lecture delves into the revolutionary Alphafold2, a protein structure prediction tool developed by Google's DeepMind. It explores the history of protein structure prediction, from John Kendrew's musings in the '60s to the recent breakthroughs in CASP competitions. The lecture discusses the critical assessment of protein structure prediction, the global distance test, and the significance of achieving high accuracy in protein structure prediction. It also covers the impact of Alphafold2 on the field, its exceptional performance in CASP14, and the implications for protein folding biology and bioinformatics. By the end, the lecture highlights the exponential growth in the number of proteins solved by Alphafold2 since its launch in November 2020.