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Byung-Gee Kim

Researcher at Seoul National University

Publications -  410
Citations -  10826

Byung-Gee Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: Streptomyces coelicolor & Gene. The author has an hindex of 52, co-authored 382 publications receiving 9479 citations. Previous affiliations of Byung-Gee Kim include New Generation University College & Chungnam National University.

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rational design and directed evolution of CYP102A1 (BM3) for regio-specific hydroxylation of isoflavone

TL;DR: En enzyme engineering of the cytochrome P450 enzyme CYP102A1 (BM3) for the synthesis of ODIs from isoflavonoids is reported.
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Application of Random Mutagenesis and Synthetic FadR Promoter for de novo Production of ω-Hydroxy Fatty Acid in Yarrowia lipolytica.

TL;DR: In this paper, a base strain was constructed to produce free fatty acids (FFAs) from glucose using metabolic engineering strategies and a synthetic FadR promoter was designed to respond to the surge of the concentration of FFAs to activate the ω-hydroxylating pathway, resulting in increased transcriptional activity by 14 times from the third day of culture compared to the first day.
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Regioselectivity-driven evolution of CYP102D1 for improved synthesis of 3'-ortho-dihydroxyisoflavone.

TL;DR: In this paper, the authors characterized mutants capable of catalyzing C3′-specific daidzein hydroxylation with enhanced hydroxymylation activity and regioselectivity.
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Characterization of ELP-fused ω-Transaminase and Its Application for the Biosynthesis of β-Amino Acid

TL;DR: Interestingly, these fusion proteins the activity was preserved even after the aggregation of fusion complex at Tt, and the fused ω-TA could be efficiently reused for up to 20 batches of transamination reaction.
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A new flow path design for multidimensional protein identification technology using nano-liquid chromatography electrospray ionization mass spectrometry

TL;DR: A novel and simple flow path design is designed using two-valve system and successfully performed a fully automated peptide analysis using MudPIT coupled with nano-liquid chromatography electrospray ionization mass spectrometry (nLC-ESI-MS).