Synthetic Biology Lab
Synthetic Biology, Systems Biology, Biomedical Engineering & AI
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성균관대학교 합성생물학 연구실은 빅데이터 분석을 통해 생명체의 복잡한 원리를 탐구하고, 이를 기반으로 다양한 생체 시스템을 설계 및 제작하는 연구를 수행하고 있습니다. 특히 기존에 존재하지 않는 새로운 생체 기능을 설계하거나, 유용 미생물의 기능들을 통합하여 우수한 생물학적 플랫폼을 개발하는 것을 목표로 합니다. 나아가 이러한 플랫폼을 생물 정화, 유용 물질 생산, 인간 유전 질환 연구, 약물 스크리닝에 응용하고자 합니다. 현재 연구실에서는 열정적이고 창의적인 대학원생, 연구원, 박사후연구원을 모집하고 있습니다.
The Synthetic Biology Laboratory @ SKKU focuses on high-throughput bio big data analytics to uncover the complex principles of living systems, and applies these insights to the design and construction of novel biological systems. Our research aims to create new biological functions that do not exist in nature, as well as to engineer superior biological platforms by incorporating useful functions from diverse microorganisms. These platforms serve as the foundation for applied research in bioremediation, biomolecule production, human genetic studies, and high-throughput drug screening. We are hiring enthusiastic, highly motivated students, researchers, and postdocs. Please contact the PI at dchoe@skku.edu.
Featured Journal Articles
Featured Journal Articles
Transcriptional regulatory networks of the human gut symbiont Bacteroides thetaiotaomicron are uncovered using machine learning
Nucleic Acids Research
2025
A live bacteria enzyme assay for identification of human disease mutations and drug screening
Nature Biomedical Engineering 2025
iModulonDB 2.0: dynamic tools to facilitate knowledge-mining and user-enabled analyses of curated transcriptomic datasets
Nucleic Acids Research
2025
Machine-learning analysis of Streptomyces coelicolor transcriptomes reveals a transcription regulatory network encompassing biosynthetic gene clusters
Advanced Science
2024
Advancing the scale of synthetic biology via cross-species transfer of cellular functions enabled by iModulon engraftment
Nature Communications
2024
Reduction-to-synthesis: the dominant approach to genome-scale synthetic biology
Trends in Biotechnology
2024
Synthetic 3'-UTR valve for optimal metabolic flux control in Escherichia coli
Nucleic Acids Research
2022
The Bitome: digitized genomic features reveal fundamental genome organization
Nucleic Acids Research
2020
Adaptive laboratory evolution of a genome-reduced Escherichia coli
Nature Communications
2019
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