Extraction of post-translational modification from the biomedical literature = 단백질 번역 후 변형 정보를 추출하는 텍스트 마이닝 시스템

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 442
  • Download : 0
Post-Translational Modification (PTM) of the protein is a crucial event that involved in almost every biological process. Tremendous amount of PTM information are buried in the biomedical literature database, NCBI PubMed. The amounts of published paper are growing continuously. To utilize this information, we have developed a literature mining system which extracts PTM information from the biomedical literature. Our system can extract 5 PTM (acetylation, hydroxylation, methylation, glycosylation, and phosphorylation) information from abstracts. This literature mining system exploits pattern template based method as well as extra clausal methods. Using this system, we have constructed a prototype of PTM database which contains PTM information. The good application of this system is in the mass spectrometry field. Validating high throughput mass spectrometry experiments is difficult. Especially, detecting PTM from mass spectra data is tough work. Many researchers refer PTM database such as dbPTM and UniProt for validation. However, those databases can’t cover all the recent information because it is manually updated by experts. PTM text mining system can solve this problem by automatically extracting PTM information from the published paper.
Advisors
Yi, Gwan-Suresearcher이관수researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2008
Identifier
392890/225023 / 020064533
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.2, [ iv, 60 p. ]

Keywords

Post-Translational Modification; Text Mining; 텍스트 마이닝; 번역 후 변형

URI
http://hdl.handle.net/10203/54900
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392890&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0