메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국미생물생명공학회 Journal of Microbiology and Biotechnology Journal of Microbiology and Biotechnology 제15권 제3호
발행연도
2005.1
수록면
551 - 559 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The recent rapid increase in genomic data relatedto many microorganisms and the development of computationaltools to acurately analyze large amounts of data have enabledus to design several kinds of simulation approaches for thecomplex behaviors of cels. Among these aproaches, dFBAequations, and regulatory events, has correctly predicted cellularbehaviors under given environmental conditions. However,until now, dFBA has centered on substrate concentration, celgrowth, and gene on/off, but a detailed hierarchical structureof a regulatory network has not been taken into acount. Theuse of Boolean rules for regulatory events in dFBA haslimited the representation of interactions between specificregulatory proteins and genes and the whole transcriptionalregulation mechanism with environmental change. In this paper,hierarchical structure for a regulatory network with definedfundamental symbols, and introduced a weight between symbolsin order to solve the above problems. Finally, the total controlmechanism of regulatory elements (operons, genes, effectors,etc.) with time was simulated through the linkage of dFBAwith regulatory network modeling. The lac operon, trpoperon, and tna operon in the central metabolic network of E.coli were chosen as the basic models for control patterns. Thesuggested modeling method in this study can be adopted as abasic framework to describe other transcriptional regulations,and provide biologists and engineers with useful informationon transcriptional regulation mechanisms under extracellularenvironmental change.

목차

등록된 정보가 없습니다.

참고문헌 (26)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0