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DOE OSTI · 3366672

LDBT instead of DBTL: combining machine learning and rapid cell-free testing

Clark-ElSayed, Alia [Univ. of Texas, Austin, TX (United States)] (ORCID:0000000196024231)·Harrison, Isa Madrigal [Univ. of Texas, Austin, TX (United States)] (ORCID:0009000560282809)·Olsen, Meagan L. [Northwestern Univ., Evanston, IL (United States)] (ORCID:0000000288944027)·Lazar, John T. [Stanford Univ., CA (United States)] (ORCID:0000000326508614)·Jewett, Michael C. [Northwestern Univ., Evanston, IL (United States); Stanford Univ., CA (United States)] (ORCID:0000000329486211)·Ellington, Andrew D. [Univ. of Texas, Austin, TX (United States)] (ORCID:0000000162465338)
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Abstract

Synthetic biology is defined by Design-Build-Test-Learn cycles. Machine learning has yielded significant improvements in protein design; thus, we propose that “Learning” can precede “Design” to optimize engineering workflows. Additionally, shifting to cell-free platforms will further accelerate “Build” and “Test” capabilities by allowing the rapid expression of proteins and functional testing without the need for cellular transformation or isolation.

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Clark-ElSayed, Alia [Univ. of Texas, Austin, TX (United States)] (ORCID:0000000196024231), Harrison, Isa Madrigal [Univ. of Texas, Austin, TX (United States)] (ORCID:0009000560282809), Olsen, Meagan L. [Northwestern Univ., Evanston, IL (United States)] (ORCID:0000000288944027), Lazar, John T. [Stanford Univ., CA (United States)] (ORCID:0000000326508614), Jewett, Michael C. [Northwestern Univ., Evanston, IL (United States); Stanford Univ., CA (United States)] (ORCID:0000000329486211), Ellington, Andrew D. [Univ. of Texas, Austin, TX (United States)] (ORCID:0000000162465338). 2025-11-05. LDBT instead of DBTL: combining machine learning and rapid cell-free testing. https://doi.org/10.1038/s41467-025-65281-2

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