Strengthening nucleic acid biosecurity screening against generative protein design tools

Advances in artificial intelligence (AI)-assisted protein engineering are enabling breakthroughs in the life sciences but also introduce new biosecurity challenges. Synthesis of nucleic acids is a choke point in AI-assisted protein engineering pipelines. Thus, an important focus for efforts to enhance biosecurity given AI-enabled capabilities is bolstering methods used by nucleic acid synthesis providers to screen orders. We evaluated the ability of open-source AI-powered protein design software to create variants of proteins of concern that could evade detection by the biosecurity screening tools used by nucleic acid synthesis providers, identifying a vulnerability where AI-redesigned sequences could not be detected reliably by current tools. In response, we developed and deployed patches, greatly improving detection rates of synthetic homologs more likely to retain wild type-like function.

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Publication Details

Journal
Science
Published
2025-10-02
DOI
https://doi.org/10.1126/science.adu8578
Citations
15
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
25.74
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Strengthening nucleic acid biosecurity screening against generative protein design tools

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15 citations
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Bacteriophages and microbial interactions
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article

Strengthening nucleic acid biosecurity screening against generative protein design tools

Jacob Beal, Tessa Alexanian, James Diggans, Bryan T. Gemler, Eric Horvitz, Nicole E. Wheeler, Steven T. Murphy, Bruce J. Wittmann, Tom Mitchell, Adam Clore, Craig Bartling, Kevin Flyangolts
article en
15 citations

Abstract

Advances in artificial intelligence (AI)-assisted protein engineering are enabling breakthroughs in the life sciences but also introduce new biosecurity challenges. Synthesis of nucleic acids is a choke point in AI-assisted protein engineering pipelines. Thus, an important focus for efforts to enhance biosecurity given AI-enabled capabilities is bolstering methods used by nucleic acid synthesis providers to screen orders. We evaluated the ability of open-source AI-powered protein design software to create variants of proteins of concern that could evade detection by the biosecurity screening tools used by nucleic acid synthesis providers, identifying a vulnerability where AI-redesigned sequences could not be detected reliably by current tools. In response, we developed and deployed patches, greatly improving detection rates of synthetic homologs more likely to retain wild type-like function.

ScienceVol. 390(6768)
Microsoft (United States) (US), Association for Computing Machinery (US), Battelle (US), International Baccalaureate (CH), Biology of Infection (FR), Twist Bioscience (United States) (US), Integrated DNA Technologies (United States) (US)
Openalex Percentile: Top 0%
Bacteriophages and microbial interactions
25.74
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