AlphaFold's accuracy surpasses previous methods, achieving near-experimental accuracy in structure prediction, even for proteins with no similar known structures. This is achieved through a novel approach integrating physical and biological knowledge, leveraging multiple sequence alignments and a deep neural network. The system’s performance was rigorously assessed in the CASP13 and CASP14 competitions, significantly outperforming other entrants. Furthermore, the texts explore AlphaFold's applications in various fields, including protein engineering and drug discovery, highlighting its potential to revolutionize biological research.

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