抽一次血预知百病成为现实！我国AI蛋白质研究取得一系列重大成果

Group 1 - The core idea of the article emphasizes the transformative impact of AI on protein research, which is crucial for understanding diseases and extending human lifespan [1][15][47] - AI is accelerating the exploration of protein structures, with predictions that human lifespan could exceed 100 years, and potentially reach 150 years [1][15] - The development of advanced AI models, such as OpenComplex2, allows for the prediction of dynamic protein structures, enhancing the understanding of protein interactions and their implications for drug development [6][8][14] Group 2 - The article highlights the importance of protein research in modern medicine, as it aids in identifying disease causes and designing precise treatment plans [3][15] - AI's role in drug development is underscored, with the potential to reduce the time and cost associated with bringing new drugs to market, breaking the "double ten law" [22][24] - The integration of AI in protein research is leading to innovative diagnostic methods, such as predicting disease risks through blood plasma protein analysis [17][19] Group 3 - The article discusses the creation of a comprehensive protein database, which supports AI models in predicting protein sequences and structures, significantly improving accuracy and efficiency [12][35] - The Venus model developed by Shanghai Jiao Tong University exemplifies the application of AI in designing functional proteins for various industrial needs [36][41] - The ongoing advancements in AI-driven protein research are expected to lead to breakthroughs in treating rare and complex diseases, enhancing overall health outcomes [47]