Anthropic内部蛋白质设计专家使用Mythos 5将药物设计部分流程加速约10倍。在一例中,Mythos 5无需人类协助即可自主使用蛋白质设计和生物信息学工具,匹配或超越熟练人类操作,能独立完成早期药物发现中的结合位点选择、工具调用、工作流运行、故障恢复和候选生成。在Gemini 3.5 Pro和GPT-5.6临近发布的背景下,Anthropic凭借Mythos/Fable进入新层级,给竞争对手带来压力,其IPO前景也因此提升。
This is one of the most important parts of the Mythos 5 announcement: Drug design.
Anthropic says its internal protein design experts used Mythos 5 to accelerate parts of the drug design process by around 10x.
In one example, Mythos 5 used protein design and bioinformatics tools without (!) human assistance and matched or beat skilled human operators.
It means the model could run parts of the early drug discovery loop itself: choosing binding sites, selecting tools, running protein design workflows, recovering from failures, and generating promising candidates.
And here is what people still dont understand outside of our community: AI is moving from "assistant that explains science" to "agent that can actually execute parts of scientific work."
The future of drug discovery may look less like one scientist manually testing ideas one by one, and more like thousands of AI-driven research loops running in parallel, with humans validating, interpreting, and deciding what actually moves forward.
I keep thinking about what Demis Hassabis said: we are entering the golden age of science. There is probably no doubt about that anymore.
Medicines are being developed faster and more precisely, and previously incurable diseases are becoming treatable.