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LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine Learning.

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Title: LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine Learning.
Authors: Long Y; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States., Mora A; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States., Li FZ; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States., Gürsoy E; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States., Johnston KE; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States., Arnold FH; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States.; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States.
Source: ACS synthetic biology [ACS Synth Biol] 2025 Jan 17; Vol. 14 (1), pp. 230-238. Date of Electronic Publication: 2024 Dec 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101575075 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2161-5063 (Electronic) Linking ISSN: 21615063 NLM ISO Abbreviation: ACS Synth Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine Learning.
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  Data: <searchLink fieldCode="AU" term="%22Long+Y%22">Long Y</searchLink>; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States.<br /><searchLink fieldCode="AU" term="%22Mora+A%22">Mora A</searchLink>; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States.<br /><searchLink fieldCode="AU" term="%22Li+FZ%22">Li FZ</searchLink>; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States.<br /><searchLink fieldCode="AU" term="%22Gürsoy+E%22">Gürsoy E</searchLink>; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States.<br /><searchLink fieldCode="AU" term="%22Johnston+KE%22">Johnston KE</searchLink>; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States.<br /><searchLink fieldCode="AU" term="%22Arnold+FH%22">Arnold FH</searchLink>; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States.; Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California91125, United States.
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  Data: <searchLink fieldCode="JN" term="%22101575075%22">ACS synthetic biology</searchLink> [ACS Synth Biol] 2025 Jan 17; Vol. 14 (1), pp. 230-238. <i>Date of Electronic Publication: </i>2024 Dec 24.
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  Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
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        Value: 10.1021/acssynbio.4c00625
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              Text: 2025 Jan 17
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