In 2020, Google's “Deep Thinking” company launched the artificial intelligence model “Alpha Folding 2.” Today, it can predict almost all known structures of more than 200 million proteins, shortening the time to manually determine protein structures from a few years to a few minutes, showing the huge potential of AI to drive scientific development. The British “Nature” website pointed out in a recent report that in the 5 years since its launch, “Alpha Folding 2” has not only changed research methods in structural biology, but also promoted advances in computational biology. However, it will take time to translate these biological insights into practical applications such as drug development.

In 2020, Google's “Deep Thinking” company launched the artificial intelligence model “Alpha Folding 2.” Today, it can predict almost all known structures of more than 200 million proteins, shortening the time to manually determine protein structures from a few years to a few minutes, showing the huge potential of AI to drive scientific development. The British “Nature” website pointed out in a recent report that in the 5 years since its launch, “Alpha Folding 2” has not only changed research methods in structural biology, but also promoted advances in computational biology. However, it will take time to translate these biological insights into practical applications such as drug development.