| 학회 | 한국화학공학회 |
| 학술대회 | 2014년 가을 (10/22 ~ 10/24, 대전 DCC) |
| 권호 | 20권 2호, p.1523 |
| 발표분야 | 생물화공 |
| 제목 | Computational analysis on Mannheimia succiniciproducens metabolic network for succinic acid production |
| 초록 | Biorefineries aim at overproducing industrially valuable chemicals from biomass, thereby replacing conventional petroleum-based processes. Among industrial platform chemicals, succinic acid, a four-carbon dicarboxylic acid, serves as an important precursor of various valuable chemical polymers and monomers. To improve bio-based succinic acid production, we designed that the combined elementary modes and clustering analyses provide insights on microbial metabolic network with respect to the overproduction of a target chemical and potential gene manipulation targets in metabolic engineering. This strategy was successfully applied to overproduction of succinic acid using Mannheimia succiniciproducens, a native succinic acid overproducer. [This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries from the Ministry of Science, ICT and Future Planning (MSIP) through the National Research Foundation (NRF) of Korea (NRF-2012M1A2A2026556).] |
| 저자 | 김원준, 김현욱, 이상엽 |
| 소속 | 한국과학기술원 |
| 키워드 | pathway analysis; succinic acid; metabolic network |
| 원문파일 | 초록 보기 |
