By developing an efficient way to compare all predicted protein structures in the AlphaFold database, researchers have revealed similarities between proteins across different species. This work aids our understanding of protein evolution and has uncovered new insights into the origin of human immunity proteins.
and evolution by offering high-quality structural predictions. Although AI predictions are not a substitute for experimentally determined structures, they do provide invaluable insights for the scientific community.known as Foldseek Cluster that can be used to analyze large sets of protein structures all at once.
them based on their 3D shapes. This acceleration in computational power doesn't just make things faster; it makes things possible.", The AFDB started as a collaborative effort between EMBL-EBI and DeepMind in 2021. The database grew in multiple stages, with the latest version of 2022 containing over 214 million predicted protein structures and their confidence metrics., A two-step approach was used to cluster proteins in the database.
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