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Anthropic:用 Claude 解析细菌 vault 颗粒的首个三维结构
团队称,原本需要数周到数月的结构解析缩短到了几天;过程中也出现了需要纠正的错误。
乔木改写
Anthropic 介绍,其生物学研究团队与 Claude 合作,解析了来自细菌生命的 vault 颗粒的首个三维结构。
Vault 颗粒呈桶状,是人体细胞中最大的蛋白质结构之一。Leonard Rome 和 Nancy Kedersha 于 1986 年发现了它,但它的功能至今仍不清楚。
此前,人们只知道动物、植物等复杂生物的细胞中存在 vault。团队这次证明,细菌以及感染细菌的病毒中的类似蛋白,也能组装成 vault。在这些更简单的生命形式中找到相应结构,可能有助于研究它在人类细胞中的作用。
Anthropic 将这一项目同时视为 AI 加速科学研究的潜力与局限的展示。团队估计,这次如果靠人工确定颗粒结构,原本需要数周到数月的细致工作,借助 Claude 则只用了几天。但 Claude 也犯了一些简单错误,生物学团队与机器学习研究人员合作处理了这些问题。
本站保存的是这份研究介绍;详细过程可见 Anthropic 的完整文章。
原文
Investigating vault particles with Claude
We’re sharing how our biology research team worked with Claude to map the first 3D structure of a vault particle from bacterial life.
Vault particles are a longstanding mystery. They are barrel-shaped objects, among the largest protein structures found in our cells. They were first discovered by Leonard Rome and Nancy Kedersha in 1986, but their function remains unknown.
With Claude, we’ve found results that might bring us closer to solving that mystery.
Until now, vaults were only known in the cells of complex things like animals and plants. We have shown that similar proteins from bacteria (and the viruses that infect them) can also assemble into vaults. Finding the structures in these simpler forms of life may make it easier to investigate their function in our own cells.
For our life sciences team, the project was also a demonstration of the potential (and the limitations) of using AI to accelerate science.
In our full piece, we discuss how Claude was able to dramatically speed up some stages—manually determining the vault particle’s structure would have taken weeks to months of painstaking work, but here it took days. We also discuss how Claude made some simple mistakes along the way, and how we collaborated with our machine learning researchers to address them.
Read more: https://www.anthropic.com/research/investigating-vault-particles-with-claude