지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국생물정보시스템생물학회 한국생물정보시스템생물학회 심포지엄 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
- 발행연도
- 2000.1
- 수록면
- 32 - 34 (3page)
이용수
초록· 키워드
오류제보하기
Computational chemistry is a discipline using computational methods for the calculation of molecular structure, properties, and reaction or for the simulation of molecular behavior. Relating and turning the complexity of data from genomics, high-throughput screening, combinatorial chemical synthesis, gene-expression investigations, pharmacogenomics, and proteomics into useful information and knowledge is the primary goal of bioinformatics. In particular, the structure-based molecular design is one of essential fields in bioinformatics and it can be called as structural bioinformatics. Therefore, the conformational analysis for proteins and peptides using the techniques of computational chemistry is expected to play a role in structural bioinformatics. There are two major computational methods for conformational analysis of proteins and peptides; one is the molecular orbital (MO) method and the other is the force field (or empirical potential function) method. The MO method can be classified into ab initio and semiempirical methods, which have been applied to relatively small and large molecules, respectively. However, the improvement in computer hardwares and softwares enables us to use the ab initio MO method for relatively larger biomolecules with up to v100 atoms or ∼800 basis functions. In order to show how computational chemistry can be used in structural bioinformatics, 1 will present on (1) cis-trans isomerization of proline dipeptide and its derivatives, (2) positional preference of proline in ${\alpha}$-helices, and (3) conformations and activities of Arg-Gly-Asp-containing tetrapeptides.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Bioinformatics와 Functional Genomics
한국동물학회 학술대회
1998 .01
-
Bioinformatics for the Cancer Gene Expression Profiling Studies
한국유전체학회 Conference
2003 .01
-
생물정보학의 과제
Newsletter : 한국생물물리학회
2001 .01
-
Bioinformatics and Genome Project
한국미생물학회 학술대회논문집
1998 .04
-
Genome Project와 Bioinformatics
미생물학회지
1998 .06
-
Trends in Microbial Genomics and Bioinformatics
한국생물정보시스템생물학회 워크샵
2002 .01
-
Bioinformatics Effort to Better Understand Microbial Community
한국미생물학회 학술대회논문집
2014 .04
-
Drug Discovery in Information Era: The Role of Bioinformatics
한국유전체학회 Conference
2002 .01
-
A Model of Problem Solving Environment for Integrated Bioinformatics Solution on Grid by Using Condor
한국생물정보시스템생물학회 심포지엄
2004 .01
-
Genome analysis with bioinformatics and microarray technology
유전체소식
2004 .01
-
New Approach to Structure and Functoin Study by Molecular Bioinformatics
한국미생물학회 학술대회논문집
1998 .04
-
Analytical Chemistry, Metabolomics, and Bioinformatics
한국분석과학회 학술대회
2019 .05
-
Bioinformatics for Functional Genomics In BRIC
한국식물학회 심포지움
1999 .01
-
Bioinformatics and DNA Microarray Applications in Cancer Research
한국유전체학회 Conference
2004 .01
-
Challenges and New Approaches in Genomics and Bioinformatics
Genomics & informatics
2003 .01
-
Bioinformatics for Microbial Community Analysis Using Pyrosequencing
한국미생물학회 학술대회논문집
2009 .05
-
Bioinformatics Analysis using BioMatrix
한국유전체학회 Conference
2006 .01
-
An Updated Evaluation of Next Generation Sequencing and Bioinformatics for Microbiome Analysis
한국미생물학회 학술대회논문집
2016 .04
-
Bioinformatics - Present and Future
한국생물물리학회 학술발표회
2002 .01
-
Strategy and Bioinformatics for Microbial Genomics and Metagenomics using Next Generation Sequencing
한국미생물학회 학술대회논문집
2011 .05
이 논문의 저자 정보
최근 본 자료
댓글(0)
0