Anthropic has established a new life sciences research group and laboratory to investigate how its Claude AI models can support fundamental biology research, including the analysis of DNA datasets, generation of biological hypotheses and experimental validation.
The company said the research programme, launched in spring 2026, is designed to explore a model of biology research in which AI agents collaborate with scientists across different stages of discovery. Anthropic has built a dedicated laboratory and research team working across Claude's biological capabilities, computational analysis and laboratory experimentation.
As part of its early research, Claude identified a previously uncharacterised enzyme system associated with an array of DNA repeats. Anthropic said the system has several characteristics that resemble those found in CRISPR and a small number of other programmable biological systems involved in operations such as cutting, copying and pasting DNA. However, the company stressed that the function of the newly identified system has not yet been established.
The system is based on a reverse transcriptase (RT), an enzyme that copies RNA into DNA. The underlying RT, found in a jumbo phage, had previously been identified in scientific studies. According to Anthropic, Claude appears to have been the first to identify a combination of additional features associated with it, including an array of non-coding DNA sequences and an accessory protein whose function remains unknown.
Anthropic said the discovery illustrates how AI could help researchers examine the vast diversity of molecular systems found in nature and identify patterns that may otherwise be difficult to detect. The approach builds on the role that observations of naturally occurring biological mechanisms have historically played in the development of technologies such as restriction enzymes, PCR and CRISPR.
The company is now continuing to investigate the newly identified system experimentally. Anthropic noted that the early finding does not establish that the system has CRISPR-like functionality, but said its combination of characteristics makes it a subject for further study.
The research forms part of Anthropic's broader effort to explore how increasingly capable AI models can contribute to scientific discovery by generating hypotheses at scale and working alongside researchers to test them in laboratory settings.
