AlphaFold完全是原子

None Laura Howes
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摘要

10月31日,DeepMind的蛋白质结构预测软件AlphaFold背后的团队宣布,他们正在将其模型扩展到蛋白质之外:配体、核酸和翻译后修饰将包括在更新中。就在这一声明发布前不久,华盛顿大学大卫·贝克(David Baker)的团队刚刚发布了一份预印本,描述了一种类似于RoseTTAFold模型的扩展。这两个团队都还没有将他们的新软件或代码提供给更广泛的科学界。近年来,对生物分子以及与之相互作用的化学物质进行建模一直是研究的热门话题。一个关键的应用是药物发现,成熟的制药公司和初创企业一直在投资这一领域。例如,2021年,DeepMind首席执行官兼联合创始人戴米斯·哈萨比斯(Demis Hassabis)推出了Isomorphic Labs,利用AlphaFold模型设计新药。但是,计算蛋白质结构建模和设计的快速发展已经
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AlphaFold goes all atom
The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins: ligands, nucleic acids, and posttranslational modifications will be included in the update. The announcement comes hot on the heels of a preprint describing a similar expansion to the RoseTTAFold model built by David Baker’s group at the University of Washington. Neither team has yet made its new software or code available to the broader scientific community. Modeling biomolecules, as well as the chemicals that can interact with them, has been a huge topic of research interest in recent years. One key application is in drug discovery, and established pharma companies and start-ups have been investing in the area. For example, in 2021, DeepMind CEO and cofounder Demis Hassabis launched Isomorphic Labs to design new medicines using AlphaFold models. But the rapid developments in computational protein structure modeling and design have
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