人工智能:新时代化学、药学与医学研究的强大助力——2024年诺贝尔化学奖  

Artificial intelligence:a powerful enabler for the new era of chemistry,pharmacy and medical research——the 2024 Nobel Prize in Chemistry

作　　者：卢玉 于书帆 姜秉寅 王玉记 Lu Yu;Yu Shufan;Jiang Bingyin;Wang Yuji(Department of Medicinal Chemistry,School of Pharmaceutical Sciences,Capital Medical University/Engineering Research Center of Endogenous Prophylactic of Ministry of Education/Beijing Major Laboratory of Peptide and Small Molecular Drugs/Beijing Laboratory of Biomedical Materials and Key Laboratory of Biomedical Materials of Natural Macromolecules,Beijing 100069,China)

机构地区：[1]首都医科大学药学院药物化学系/内源式预防药物教育部工程研究中心/多肽及小分子药物北京市重点实验室/北京生物医用材料实验室和天然高分子生物医用材料重点实验室,北京100069

出　　处：《首都医科大学学报》2024年第6期1131-1137,共7页Journal of Capital Medical University

摘　　要：北京时间2024年10月9日,瑞典皇家科学院宣布将2024年诺贝尔化学奖一半授予美国化学家大卫·贝克(David Baker),以表彰其在计算蛋白质设计方面的贡献;另一半则共同授予英国伦敦人工智能公司谷歌DeepMind公司的戴密斯·哈萨比斯(Demis Hassabis)和约翰·M·詹珀(John M.Jumper),以表彰其在蛋白质结构预测方面的贡献。On Oct.9,2024,the Royal Swedish Academy of Sciences has announced that half of the 2024 Nobel Prize in Chemistry was awarded to American chemist David Baker for his contributions to computational protein design,while the other half was jointly awarded to Demis Hassabis and John M.Jumper of London-based artificial intelligence company Google DeepMind for their contributions to protein structure prediction.

关 键 词：2024年诺贝尔化学奖 蛋白质结构预测 计算蛋白质 人工智能模型 

分 类 号：Q51[生物学—生物化学]