中国团队推自然语言蛋白设计工具 降低 AI 生物门槛
中国研究团队开发出一款基于自然语言提示的蛋白质设计工具，旨在降低专业门槛，让非专家也能通过描述功能生成蛋白质序列。尽管目前生成的蛋白质成功率尚待提高且需实验室验证，但该工具标志着“Vibe Coding”理念向生物计算领域的延伸。此外，Hugging Face 也上线了类似的 DNA 级设计工具。
报道正文
Protein design tools may be getting increasingly sophisticated, but you still need a sophisticated understanding of protein structure for them to work. This can include knowing enzyme mechanisms down to the positions of specific amino acids, as well as the water molecules that also occupy the area where catalysis takes place. Once you specify these, the tools can build the rest of a protein around this target.
A large collaboration of researchers based in China, however, decided to bring protein design to the masses, making a tool that can take natural language prompts and use them to produce proteins with the function you specify. If your measure for success is a working protein, then the success rate may not be great. But they still manage to get the job done. And, in a separate announcement, Hugging Face shared that it's now hosting a tool that does similar things on the DNA level.
The equivalent of vibe coding may have come to protein design—at least if you have access to a lab where you can sort the good designs from the dozens of failed ones.