质粒
复制(统计)
生成语法
计算生物学
复制的起源
生物
自主复制序列
序列(生物学)
计算机科学
人工智能
遗传学
DNA
病毒学
作者
Julie Irvine,Jigyasa Arora,Jonathan N.V. Martinson,Jaymin R. Patel,Sarah I. Hasham,Brady F. Cress,Benjamin E. Rubin
标识
DOI:10.1101/2025.02.03.636306
摘要
While generative artificial intelligence (AI) has shown promise for biological design, no computational system has yet created and validated sequences capable of autonomous replication. Focusing on plasmids, one of the smallest types of replicating elements, we develop OriGen, a sequence model that generates new plasmid origins of replication while maintaining key elements essential for their replication. We experimentally validate OriGen's ability to create functional origins that diverge from existing wild types, demonstrating the model's capacity to capture the complex and often cryptic mechanisms of biological replication.
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