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Beyond sequence similarity: toward function-based screening of nucleic acid synthesis
Journal article   Open access   Peer reviewed

Beyond sequence similarity: toward function-based screening of nucleic acid synthesis

Gary Abel Jr, Tessa Alexanian, Craig Bartling, Jacob Beal, Samuel Curtis, Kevin Flyangolts, Leonard Foner, Samuel ry, Gene Godbold, Eric Horvitz, …
Frontiers in bioengineering and biotechnology, Vol.14, 1832724
05/01/2026
DOI: 10.3389/fbioe.2026.1832724
url
https://doi.org/10.3389/fbioe.2026.1832724View
Published (Version of record) Open Access

Abstract

Synthetic nucleic acids are a key input to modern biotechnology, yet they represent dual-use materials that require robust screening to mitigate biosecurity risks. The prevailing screening paradigm, which identifies sequences of concern (SoCs) through sequence similarity to controlled pathogens and toxins, may not fully capture risks posed by AI tools that can decouple biomolecular function from reliance on known sequences. Rapidly advancing biodesign capabilities enable the generation of genes and proteins that might evade sequence-based detection. We highlight the critical need for function-based screening approaches that can detect sequences capable of hazardous biological functions, regardless of similarity to known SoCs. We examine the feasibility of function-based screening with an initial focus on proteins, arguing that, while protein sequence space is vast, biologically functional proteins are significantly constrained by biophysical and biochemical requirements that can be learned and modeled. We propose a concrete implementation framework organized along a continuum of complexity, starting with toxins as the most tractable targets before expanding to more complex pathogenic functions. We then discuss open challenges and describe a research and development strategy to address them.
Biotechnology Synthetic Biology Amino acid sequence Artificial intelligence Biosecurity Proteins Taxonomy Toxicity Toxins

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