Article
GGAssembler: Precise and economical design and synthesis of combinatorial mutation libraries.
Protein science : a publication of the Protein Society - 1 Oct 2024
Hoch Shlomo Yakir, Netzer Ravit, Weinstein Jonathan Yaacov, Krauss Lucas, Hakeny Karen, Fleishman Sarel Jacob
Abstract excerpt
Golden Gate assembly (GGA) can seamlessly generate full-length genes from DNA fragments. In principle, GGA could be used to design combinatorial mutation libraries for protein engineering, but creating accurate, complex, and cost-effective libraries has been challenging. We present GGAssembler, a graph-theoretical method for economical design of DNA fragments that assemble a combinatorial library that encodes any...
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