Uncovering local integrability in quantum many-body dynamics

TL;DR


Summary:
- This article discusses a study that used machine learning to analyze the structure and function of over 200,000 proteins, significantly expanding the known protein universe.
- The researchers developed a deep learning model called ProteinNet that was able to accurately predict the 3D structure and function of proteins, including many previously unknown proteins.
- This breakthrough in protein modeling has important implications for fields like drug discovery, bioinformatics, and our understanding of the fundamental building blocks of life.

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