GoKawiilWhitehead Institute uses Google's AI Co-Scientist to target MYC-driven cancer
Biochemist Anna Pertl at the Whitehead Institute prompted an AI system called Co-Scientist to generate novel strategies for disrupting molecular condensates that fuel the cancer-driving protein MYC. Unlike a simple chatbot, the tool deploys multiple autonomous agents that search literature, debate competing explanations, and iteratively refine hypotheses before returning results, a process that can take hours. The work builds on prior findings by her supervisor Richard Young, whose lab showed cancer cells hijack condensates at super-enhancers to overproduce MYC, research now being pursued commercially through his company Dewpoint Therapeutics.
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This case illustrates a shift in scientific practice, where AI systems are not just answering questions but running structured, multi-agent reasoning cycles that mimic scientific debate and hypothesis testing. If such tools can meaningfully accelerate research into notoriously hard drug targets like MYC, it could reshape how labs allocate human time and computational resources in early-stage discovery.
- Google's Co-Scientist AI uses multiple autonomous agents to generate and refine hypotheses rather than giving single-pass answers.
- Researchers applied it to a longstanding cancer problem: disrupting molecular condensates that overactivate the MYC protein.
- The effort connects to earlier Whitehead Institute discoveries and commercial work by Dewpoint Therapeutics.
Source: nature.com — Dolgin, 2026-09-21
Published there as: “AI co-scientists are revolutionizing how research is done”
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