An In-Depth Look at the 2024 Nobel Prize in Chemistry:Computational Protein Design and Artificial Intelligence to Predict Protein Structures
DENG Song1, QIN Yan-Xin2, RUAN Jiang-Qian-Yu1, WU Xiao-Chun1**
1. College of Chemistry and Materials Science,Sichuan Normal University,Chengdu 610066,China; 2. School of Education Sciences,Nanning Normal University,Nanning 530299,China
Abstract The 2024 Nobel Prize in Chemistry was awarded to David Baker of the University of Washington,USA,and Demis Hassabis and John M.Jamber of DeepMind,UK,for their innovative contributions to computational protein design and protein structure prediction.This paper elucidates the scientific context of this year’s Nobel Prize in Chemistry,with a focused analysis on two award-winning achievements:the computational chemistry principles underlying AlphaFold2’s artificial intelligence model for high-precision prediction of three-dimensional protein structures,and the methodological framework of Rosetta software in de novo protein design.These breakthroughs not only advance research in structural biology,but also pioneer new frontiers for AI applications in scientific exploration,demonstrating transformative potential and broad prospects of artificial intelligence in chemical research.
DENG Song, QIN Yan-Xin, RUAN Jiang-Qian-Yu, WU Xiao-Chun. An In-Depth Look at the 2024 Nobel Prize in Chemistry:Computational Protein Design and Artificial Intelligence to Predict Protein Structures[J]. Chinese Journal of Chemical Education, 2025, 46(10): 19-27.
