| 학회 |
한국화학공학회 |
| 학술대회 |
2006년 봄 (04/20 ~ 04/21, 대구 인터불고 호텔) |
| 권호 |
12권 1호, p.401 |
| 발표분야 |
생물화공 |
| 제목 |
Enzyme Grouping and Profile Analysis for Virtual Enzyme Screening |
| 초록 |
Enzyme screening is a crucial step for biological synthesis of valuable chemicals. Extensively accumulated data on enzyme sequences and specificities make possible to screen enzymes computationally. Such virtual enzyme screening becomes gradually complementary and even competitive to the traditional experimental screening methods. Our approach uses enzyme grouping based on sequence similarity to predict enzyme function and specificity. We made a program, coded in Python, to group aminotransferases fully automatically using the phylogenic trees from ClustalW. Subgrouping is followed by profile analysis with HMMER. |
| 저자 |
박지향, 김병기
|
| 소속 |
서울대 |
| 키워드 |
enzyme grouping; profile analysis; screening; transaminase; phylogenic tree
|
| E-Mail |
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| 원문파일 |
초록 보기 |
