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Gi Bae Kim

Showing results (1-10 of 24) with videos related to

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Cell Metabolism|August 7, 2024
Understanding the metabolism of infants using whole-body metabolic modelsSang Yup Lee, Gi Bae Kim
Proceedings of the National Academy of Sciences of the United States of America|November 17, 2020
Glutaric acid production by systems metabolic engineering of an l-lysine-overproducing <i>Corynebacterium glutamicum</i>Taehee Han, Gi Bae Kim, Sang Yup Lee
Trends in Biotechnology|August 12, 2022
An interactive metabolic map of bio-based chemicalsWoo Dae Jang, Gi Bae Kim, Sang Yup Lee
Nature Communications|March 25, 2025
Comprehensive evaluation of the capacities of microbial cell factoriesGi Bae Kim, Ha Rim Kim, Sang Yup Lee
Nature Microbiology|January 7, 2026
Approaches for accelerating microbial gene function discovery using artificial intelligenceBernhard O Palsson, Sang Yup Lee, Gi Bae Kim
Metabolic Engineering|September 21, 2023
Deep learning for metabolic pathway designGahyeon Ryu, Gi Bae Kim, Taeho Yu, et al.
Current Opinion in Biotechnology|August 6, 2021
Applications of artificial intelligence to enzyme and pathway design for metabolic engineeringWoo Dae Jang, Gi Bae Kim, Yeji Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2020
DeepTFactor: A deep learning-based tool for the prediction of transcription factorsGi Bae Kim, Ye Gao, Bernhard O Palsson, et al.
Trends in Biotechnology|March 28, 2025
Enzyme functional classification using artificial intelligenceHa Rim Kim, Hongkeun Ji, Gi Bae Kim, et al.
Current Opinion in Biotechnology|October 4, 2019
Machine learning applications in systems metabolic engineeringGi Bae Kim, Won Jun Kim, Hyun Uk Kim, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Cell Metabolism|August 7, 2024
Understanding the metabolism of infants using whole-body metabolic modelsSang Yup Lee, Gi Bae Kim
Proceedings of the National Academy of Sciences of the United States of America|November 17, 2020
Glutaric acid production by systems metabolic engineering of an l-lysine-overproducing <i>Corynebacterium glutamicum</i>Taehee Han, Gi Bae Kim, Sang Yup Lee
Trends in Biotechnology|August 12, 2022
An interactive metabolic map of bio-based chemicalsWoo Dae Jang, Gi Bae Kim, Sang Yup Lee
Nature Communications|March 25, 2025
Comprehensive evaluation of the capacities of microbial cell factoriesGi Bae Kim, Ha Rim Kim, Sang Yup Lee
Nature Microbiology|January 7, 2026
Approaches for accelerating microbial gene function discovery using artificial intelligenceBernhard O Palsson, Sang Yup Lee, Gi Bae Kim
Metabolic Engineering|September 21, 2023
Deep learning for metabolic pathway designGahyeon Ryu, Gi Bae Kim, Taeho Yu, et al.
Current Opinion in Biotechnology|August 6, 2021
Applications of artificial intelligence to enzyme and pathway design for metabolic engineeringWoo Dae Jang, Gi Bae Kim, Yeji Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2020
DeepTFactor: A deep learning-based tool for the prediction of transcription factorsGi Bae Kim, Ye Gao, Bernhard O Palsson, et al.
Trends in Biotechnology|March 28, 2025
Enzyme functional classification using artificial intelligenceHa Rim Kim, Hongkeun Ji, Gi Bae Kim, et al.
Current Opinion in Biotechnology|October 4, 2019
Machine learning applications in systems metabolic engineeringGi Bae Kim, Won Jun Kim, Hyun Uk Kim, et al.
Pageof 3