US biochemist David Baker and Google DeepMind scientists Sir Demis Hassabis and John Jumper have won the chemistry Nobel Prize jointly for their work to unlock the biological secrets of proteins that underpin life and health.
美国生物化学家戴维•贝克(David Baker)以及谷歌(Google)旗下人工智能(AI)公司DeepMind的科学家德米斯•哈萨比斯爵士(Sir Demis Hassabis)和约翰•江珀(John Jumper)共同获得诺贝尔化学奖，以表彰他们揭示有关蛋白质（生命和健康的支柱）的生物学奥秘。
Baker took one half of the SKr11mn ($1.06mn) award for his research on computational protein design and the DeepMind duo received the other for protein structure prediction, the Nobel Assembly in Stockholm said on Wednesday.
斯德哥尔摩诺贝尔奖大会周三宣布，贝克因其在蛋白质计算设计领域的研究而获得1100万瑞典克朗（合106万美元）奖金中的一半，DeepMind的两位科学家因其在蛋白质结构预测领域的研究而获得另一半。
The prize recognises big advances in techniques to understand how proteins function and interact to make living cells work. The methods, including DeepMind’s artificial intelligence-driven AlphaFold models, have raised hopes they could be powerful tools in the development of new therapies for hard-to-treat diseases.
该奖表彰在理解蛋白质如何运作和互动、以使活细胞发挥作用方面的重大技术进步。相关方法——包括DeepMind由AI驱动的AlphaFold模型——令人萌生希望：它们有望成为强大的工具，用来开发针对难治疾病的新疗法。