Google's DeepMind recently released the latest version of AlphaFold, which has expanded the scope of protein structure prediction. Not only can it accurately predict protein structures, but it can also predict ligands, nucleic acids, and other biomolecules, as well as complex structures with post-translational modifications, achieving laboratory accuracy at the atomic level. This is of significant importance for drug and material design. The new version has shown a notable improvement in antibody binding issues compared to earlier versions. It helps in understanding complex biological mechanisms such as the CRISPR system and is expected to accelerate related clinical applications.
Google's AlphaFold Model Achieves Major Breakthrough in Predicting Biological Molecules and Ligand Structures

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