AlphaFold2, developed by DeepMind, has enabled highly accurate and fast protein structure prediction [1]. Since the source code was released in 2021, ColabFold has been developed, which allows easy structure prediction online and also enables prediction of multimers and protein-protein interactions [2]. Many other methods (such as RoseTTAFold) have also been developed. In AlphaFold3, announced by DeepMind in 2024, it became possible to predict the three-dimensional structure of posttranslational modifications such as glycans, as well as interactions with DNA, RNA, and other small molecules [3]. Currently, structure prediction can be performed on the AlphaFold Server released by DeepMind (Fig. 22.1).

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Protein Structure Prediction (AlphaFold)

  • Shinya Fushinobu

摘要

AlphaFold2, developed by DeepMind, has enabled highly accurate and fast protein structure prediction [1]. Since the source code was released in 2021, ColabFold has been developed, which allows easy structure prediction online and also enables prediction of multimers and protein-protein interactions [2]. Many other methods (such as RoseTTAFold) have also been developed. In AlphaFold3, announced by DeepMind in 2024, it became possible to predict the three-dimensional structure of posttranslational modifications such as glycans, as well as interactions with DNA, RNA, and other small molecules [3]. Currently, structure prediction can be performed on the AlphaFold Server released by DeepMind (Fig. 22.1).