Anthropic's claimed enzyme discovery faces scrutiny over data source
- Scientist Mario Rodríguez Mestre claims his team's four-year research guided Anthropic's AI discovery
- Anthropic states Claude processed 210 million tokens over 21 hours to flag the enzyme pattern
- The disputed enzymes were identified by Mestre in 2022 and covered in a 2023 patent
- Anthropic recently launched Claude Science and partnered with Novo Nordisk for drug research

*this image is generated using AI for illustrative purposes only.
A computational biologist has challenged Anthropic’s claim that its AI model, Claude, autonomously discovered a novel enzyme system. Mario Rodríguez Mestre stated that he and his colleagues had been studying the relevant ART enzymes for four years and shared key findings with Anthropic during consultations.
The dispute centers on whether Claude independently reasoned its way to the discovery or was guided by information derived from Mestre’s team’s unpublished research. The New York Times reported on Sunday that Mestre identified the enzymes in jumbo phages in 2022 while researching reverse transcriptases. He later consulted for ReNegade Therapeutics, which filed a 2023 patent covering several reverse transcriptases, including those he discovered, with Mestre listed as a co-inventor.
The core of the controversy
Mestre emphasized that the primary question is not whether ARTs were already known, but rather the origin of the specific insights attributed to the AI. "So, for me, the most important question is not ‘Were ARTs already known?’ They were," he told the publication. This raises significant questions about intellectual property and the definition of autonomous discovery in AI-driven science.
Anthropic did not immediately respond to requests for comment regarding these allegations. The company maintains that Claude’s discovery of a novel enzyme system had properties resembling CRISPR and was guided only at a high level by its scientists.
Anthropic’s account of the discovery
On Wednesday, Anthropic announced that Claude autonomously discovered a previously uncharacterized enzyme system in bacteriophages after analyzing a massive DNA database. The process involved nearly 950 Claude agents processing 210 million tokens over 21 hours before one flagged an unusual repeating pattern for human review. Scientists provided initial guidance and conducted subsequent laboratory testing.
While the function of the enzyme system is still under investigation, Anthropic stated it felt it was crucial to share these early findings to showcase Claude’s capabilities and provide insight into their ongoing work. Feng Zhang, one of the pioneers of CRISPR genome editing, called the discovery "genuinely intriguing" and said that it merits further investigation.
Broader life sciences expansion
This incident occurs as Anthropic aggressively expands its presence in the life sciences sector. Earlier this month, the company established a physical wet lab in the San Francisco Bay Area, expanding its AI-driven life sciences research into hands-on experimentation. Life sciences leader Eric Kauderer-Abrams said real-world lab work remains essential for biology, while the company combines internal research with external collaborations. Anthropic clarified that the facility is not specifically focused on drug discovery.
In the same week, Anthropic announced a collaboration with Novo Nordisk (NYSE: NVO) to accelerate the development of new medicines. Novo would use Anthropic’s advanced AI models to enhance software development and expand AI adoption, with strong data governance and human oversight to ensure responsible use.
In July, Anthropic launched Claude Science, an AI workbench designed for scientists, marking its significant expansion into life sciences. The platform supports fields including genomics, proteomics, structural biology and cheminformatics, integrates more than 60 scientific databases and tools, and connects with Nvidia Corp.’s (NASDAQ: NVDA) BioNeMo Agent Toolkit for access to specialized biology models.
How might this dispute influence the legal standards for AI-generated intellectual property and patent eligibility in the biotech sector?
Will Anthropic’s aggressive expansion into wet labs and partnerships with firms like Novo Nordisk face increased regulatory scrutiny regarding data provenance?
Could this controversy deter other research institutions from sharing unpublished data with AI developers, thereby slowing collaborative scientific progress?

































