화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2019년 가을 (10/23 ~ 10/25, 대전컨벤션센터)
권호 25권 2호, p.1464
발표분야 생물화공 (Biochemical Engineering)
제목 Computational platform technologies for the enhanced biological productions
초록 Biological production of various chemicals and materials in the context of metabolic engineering can now be greatly enhanced by computational platform technologies that use genomic data. To this end, relevant computational platform technologies will be discussed, including GMSM and DeepEC. GMSM allows automated genome-scale metabolic modeling that also involves secondary metabolism, whereas DeepEC predicts enzyme commission (EC) numbers with high precision in a high-throughput manner by taking a protein sequence as an input. DeepEC is a critical component of GMSM, which serves to associate a protein sequence with a specific biochemical reaction. It should be noted that these computational tools can also be applied to biomedical problems associated with metabolism. Continued efforts in developing computational platform technologies along with generation of meaningful biological datasets will innovate our approaches to tackling various metabolic engineering problems.
저자 김현욱
소속 KAIST
키워드 생물화학공학
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