Why do scientists use large databases of known protein structures to train AI systems like AlphaFold?

Known protein structures provide examples of how amino acid sequences fold into three-dimensional shapes. By training on many sequence-and-structure examples, AI can learn patterns that help it predict the shape of a protein from its sequence. These databases do not let AI rewrite genetic codes or control ribosomes.

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