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Applications of artificial intelligence to enzyme and pathway design for metabolic engineering.
Jang, Woo Dae; Kim, Gi Bae; Kim, Yeji; Lee, Sang Yup.
Afiliación
  • Jang WD; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Hea
  • Kim GB; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Hea
  • Kim Y; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Hea
  • Lee SY; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Hea
Curr Opin Biotechnol ; 73: 101-107, 2022 02.
Article en En | MEDLINE | ID: mdl-34358728

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Ingeniería Metabólica Idioma: En Revista: Curr Opin Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Ingeniería Metabólica Idioma: En Revista: Curr Opin Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article