Anthropic 生物研究团队用 Claude 解析出细菌中穹窿颗粒的首个三维结构,此前这类结构只在动物和植物细胞中被发现。作者转述称 Claude 参与了实际湿实验流程,把颗粒分离从 3 天缩短到约 90 分钟,34 小时给出结构模型而非数周。Anthropic 同时说明 Claude 过程中犯过简单错误,团队与机器学习研究员协作修正,完整内容见其研究文章。
原文给出了AI参与湿实验流程的具体耗时对比,也提到模型出错与人工修正,可据此判断AI加速科研的边界。
Anthropic’s biology lab used Claude to find and map a vault particle, a hollow barrel of protein that has sat unexplained in human cells since 1986, inside bacteria and the viruses that infect them, which nobody had shown before.
Claude ran the actual wet-lab pipeline, not just the reading, cutting particle isolation from 3 days to about 90 minutes and delivering a first 3D structural model in 34 hours instead of weeks.
【引用 @AnthropicAI】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
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在 X 查看被引用的帖子
来源:Rohan Paul · x.com