Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments.

Hu, Ruyun; Fu, Lihao; Chen, Yongcan; Chen, Junyu; Qiao, Yu; Si, Tong

Hu, Ruyun; Fu, Lihao; Chen, Yongcan; Chen, Junyu; Qiao, Yu; Si, Tong.

Afiliação

Hu R; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Fu L; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Chen Y; CAS Key Laboratory for Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen 518055, China.
Chen J; University of Chinese Academy of Sciences, Beijing 100049, China.
Qiao Y; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Si T; CAS Key Laboratory for Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen 518055, China.

Brief Bioinform ; 24(1)2023 Jan 19.

Article em En | MEDLINE | ID: mdl-36562723

Assuntos

Engenharia de Proteínas; Proteínas; Humanos; Teorema de Bayes; Proteínas/genética; Evolução Biológica; Algoritmos

Palavras-chave

Bayesian optimization; adaptive experimental design; directed evolution; evolutionary algorithm; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Engenharia de Proteínas / Proteínas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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