한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (A)
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- Pages.43-45
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- 2006
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- 1598-5164(pISSN)
Peptide Nucleic Acid(PNA)를 이용한 antisense 기법에 적용할 병렬 컴퓨팅용 Bioinformatics tool 개발
Developing a Bioinformatics Tool for Peptide Nucleic Acid (PNA) antisense Technique Utilizing Parallel Computing System
- 김성조 (전자공학부, 아주대학교) ;
- 전호상 (정보 및 컴퓨터공학부, 아주대학교) ;
- 홍승표 (생명과학과, 아주대학교) ;
- 김현창 (생명과학과, 아주대학교) ;
- 김한집 (생명과학과, 아주대학교) ;
- 민철기 (분자과학기술학과, 아주대학교)
- Kim Seong-Jo (Division of Electronic Engineering, Ajou University) ;
- Jeon Ho-Sang (Division of Information & Computer Engineering, Ajou University) ;
- Hong Seung-Pyo (Department of Biological Sciences, Ajou University) ;
- Kim Hyon-Chang (Department of Biological Sciences, Ajou University) ;
- Kim Han-Jip (Department of Biological Sciences, Ajou University) ;
- Min Churl-K (Department of Molecular Science & Technology, Ajou University)
- 발행 : 2006.06.01
초록
Unlike RNA interference, whose usage is limited to eukaryotic cells, Peptide Nucleic Acid (PNA) technique is applicable to both eukaryotic and prokaryotic cells. PNA has been proven to be an effective agent for blocking gene expressions and has several advantages over other antisense techniques. Here we developed a parallel computing software that provides the ideal sequences to design PNA oligos to prevent any off-target effects. We applied a new approach in our location-finding algorithm that finds a target gene from the whole genome sequence. Message Passing Interface (MPI) was used to perform parallel computing in order to reduce the calculation time. The software will help biologists design more accurate and effective antisense PNA by minimizing the chance of off-target effects.
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