https://youtu.be/yqeUH4RsJp8?si=SkolqnGxO96VVaVI
Amazingly clear lectures for understanding Machine Learning protein structure prediction!
Part I - Lucid overview of why different ML algos map best to bio structures
Part II - Protein 3D structure boils down to well-informed placement of backbone triangles, from amino acid co-evolution
Part III - Where to now for systems biology? We've gone gene -> network but skipped the machines
Will be exciting when chemical interaction constraints are incorporated!

