
Anthropic reports biology discovery made with AI assistance
Anthropic has announced that its artificial intelligence model, Claude, helped discover a new enzyme system with properties similar to gene-editing technology. The finding comes from a newly established physical biology laboratory operated by the company.
Published by Jin · 2 min read · 24 SEPT 2026
- Spring of 2026
- 21 hours
- Roughly 950 agents
- 210 million tokens
Anthropic announced that its wet biology laboratory in the Bay Area has helped discover a previously unknown enzyme system. The system was identified within the DNA of bacteriophages, which are viruses that infect bacteria, and exhibits properties reminiscent of CRISPR, a natural immune system used by bacteria that has become a widely used gene-editing technology.
The discovery process
According to the company, the discovery was made largely through the efforts of its Claude artificial intelligence model. The model searched through biological data using approximately 950 agents, consuming 210 million tokens during 21 hours of concerted effort.
Chief Executive Dario Amodei noted that the work builds on prior research, including similar systems previously identified by researchers at Stanford University. The broader scientific community will need to review and validate the novelty of the finding.
Safety and human oversight
While the artificial intelligence model analyzed data and directed research directions, all physical experiments in the laboratory were conducted by human scientists. The facility operates at the lower levels of biosafety risk, designated as BSL-1 and BSL-2, and does not handle pathogens capable of infecting humans.
Anthropic noted that while it does not currently allow artificial intelligence models to autonomously control laboratory equipment, such capabilities might be explored in the future under appropriate safeguards.
Context in biological research
The intersection of artificial intelligence and biology is an active field. Other institutions, including Stanford University and the University of California, San Francisco, have recently published work involving artificial intelligence and enzyme design, building upon foundational tools like DeepMind's AlphaFold.
Source — Original announcement ↗
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