AlphaFold2 πŸ§‘‍πŸ”¬


However, while AlphaFold2 is a powerful prediction tool, it’s not an omniscient machine. It has solved one part of the protein folding problem very cleverly, but not the way a scientist would. 

It has not replaced biological experiments but rather emphasized the need for them.

Perhaps AlphaFold2’s biggest impact has been drawing biologists’ attention to the power of artificial intelligence. 

It has already inspired new algorithms, including ones that design new proteins not found in nature; new biotech companies; and new ways to practice science. And its successor, AlphaFold3, which was announced in May 2024, has moved to the next phase of biological prediction by modeling the structures of proteins in combination with other molecules like DNA or RNA.

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