Earticle

초록

영어

Microalgae are photosynthetic organisms to produce industrially important metabolites such as astaxanthin, β-carotene, unsaturated fatty acid and phycobiliprotein etc. In order to enhance their productivity, researchers have developed many kinds of bioreactors and various cultivation methods. But recently these efforts came to limitation. Because of these reasons, systems biology started to attract researchers who want to increase productivity using novel tools or technology. Through the use of systems biology, researchers can model molecular and cellular phenomena of microalgae using integrated and interacting network of genes, proteins and biochemical reactions. In order to model levels of in silico behaviors, large volume of genome-scale data is required. The first step is to identify open reading frames and determine their biochemical reactions. After that, network gaps are determined by biochemical or physiological evidence. The accuracy of metabolic network can be analyzed by mathematical methods such as flux-balance analysis. Consequently comprehension of microalgae using systems biology is expected to increase their productivity as well as develop photosynthetic mechanism.

키워드

저자

• Seong-Joo Hong [ Department of Biological Engineering, Inha University ]
• Choul-Gyun Lee [ Department of Biological Engineering, Inha University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국생물공학회 학술대회

• 간기

  반년간

• 수록기간

  1985~2013

• 십진분류

  KDC 476 DDC 576