• 한국미생물생명공학회:학술대회논문집
• /
• 한국미생물생명공학회 2005년도 2005 Annual Meeting & International Symposium
• /
• pp.290-297
• /
• 2005

• 한국광과학회:학술대회논문집
• /
• 한국광과학회 2002년도 정기총회 및 제9회 광과학 학술심포지움 논문초록
• /
• pp.53-53
• /
• 2002

• 한국잠사학회:학술대회논문집
• /
• 한국잠사학회 2004년도 International Conference of Sericultural and Entomological Sciences
• /
• pp.70-70
• /
• 2004

• 한국당과학회:학술대회논문집
• /
• 한국당과학회 2006년도 제1회 연례학술대회
• /
• pp.41-41
• /
• 2006

• Bulletin of the Korean Chemical Society
• /
• 제35권10호
• /
• pp.3115-3118
• /
• 2014

• 한국잠사학회:학술대회논문집
• /
• 한국잠사학회 2005년도 제48회 추계 학술연구 발표회
• /
• pp.54-54
• /
• 2005

• 한국생명과학회:학술대회논문집
• /
• 한국생명과학회 2003년도 제40회 국제학술심포지움
• /
• pp.118-118
• /
• 2003

• 한국잠사학회:학술대회논문집
• /
• 한국잠사학회 2002년도 Join Meetings of Korean Society of Sericultural Science and Japanse Society of Sericultural Science
• /
• pp.143-143
• /
• 2002

No Abstract, See Full Text

• Mass Spectrometry Letters
• /
• 제13권4호
• /
• pp.184-188
• /
• 2022

• Bioinformatics and Biosystems
• /
• 제1권2호
• /
• pp.95-98
• /
• 2006

Recent proteomic studies of protein domains require high-throughput and systematic approaches. Since most experiments using protein domains, the modules of protein-protein interactions, require gene cloning, the first experimental step should be retrieving DNA sequences of domain encoding regions from databases. For a large scale proteomic research, however, it is a laborious task to extract a large number of domain sequences manually from several inter-linked databases. We present a new methodology to retrieve DNA sequences of domain encoding regions through automatic database cross-referencing. To extract protein domain encoding regions, it traverses several inter-connected database with validation process. And we applied this method to retrieve all the EGF domain encoding DNA sequences of homo sapiens. This new algorithm was implemented using Python library PAMIE, which enables to cross-reference across distinct databases automatically.