DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Lee, Kwang-Hyung | - |
dc.contributor.advisor | Lee, Do-Heon | - |
dc.contributor.advisor | 이광형 | - |
dc.contributor.advisor | 이도헌 | - |
dc.contributor.author | Kam, Hye-Jin | - |
dc.contributor.author | 감혜진 | - |
dc.date.accessioned | 2011-12-12T07:28:02Z | - |
dc.date.available | 2011-12-12T07:28:02Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=240414&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/27093 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2004.8, [ vii, 29 p. ] | - |
dc.description.abstract | It is apparent that some regions in a protein have been more conserved than others during evolution. These regions are called `motif``s that have representative features of functions and structures. From a view of function, to understand activities of a motif combination is also, sometimes even more, important as those of a single motif. Motifs act as a `functional module`` in combination, and give more complicated and specified function to a protein. Therefore, searching fully informative NRFC (Non-Redundant Frequently Co-occurring) motif combinations and analyzing the biological meanings of them are needed for understanding functions of proteins. I proposed an expert system MOCHA (MOtif Co-occurrence cHaracteristics Analysis) for biological interpretation about NRFC combinations. The 76.5% of the searched NRFC motif combinations were previously unknown. NRFC combinations are full of functional information in proteins or protein families. With MOCHA system, three kinds of information can be obtained from NRFC combinations: (1) as a ``functional module````, (2) as a information provider for un-annotated motif(s) and (3) as a reflection of the complexity of an organism. MOCHA system is reachable through Would Wide Web at http://mocha.kaist.ac.kr. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | PROTEIN MOTIF | - |
dc.subject | NRFC MOTIF COMBINATIONS | - |
dc.subject | 데이터마이닝 | - |
dc.subject | 단백질 모티프 | - |
dc.subject | DATA MINING | - |
dc.subject | NRFC 모티프조합 | - |
dc.title | Analyzing protein motif combinations using a data mining technique | - |
dc.title.alternative | 데이터마이닝 기법을 이용한 단백질 모티프조합 분석 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 240414/325007 | - |
dc.description.department | 한국과학기술원 : 바이오시스템학과, | - |
dc.identifier.uid | 020023901 | - |
dc.contributor.localauthor | Lee, Kwang-Hyung | - |
dc.contributor.localauthor | Lee, Do-Heon | - |
dc.contributor.localauthor | 이광형 | - |
dc.contributor.localauthor | 이도헌 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.