• Journal of Ecology and Environment
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• 제43권2호
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• pp.282-283
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• 2019

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.585-588
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• 2005

연구자들이 국외 생명과학관련 문헌정보를 찾으려면 PubMed와 같은 세계적인 문헌정보서비스를 많이 이용하며, 국내 생명과학관련 문헌정보를 찾으려면 KISTI 학회마을, KoreaMed 등 여러 사이트를 방문해야 한다. 이에 생명과학관련 연구를 원활히 수행할 수 있도록 생명정보 데이터베이스와 분석도구를 서비스하고 있는 KISTI 바이오인포매틱스센터(CCBB) 홈페이지에서 인터넷상의 Open Access 문헌정보와 국내 학회정보를 수집하여 메타 데이터베이스를 구축하여 서비스하고자 한다. 또한 생명과학 관련 주제별 Open Archiving 커뮤니티의 구성과 운영을 통한 연구자간의 정보교환을 유도하고, 더불어 논문뿐만 아니라 세미나, 연구노트 등의 최신의 연구정보를 공유할 수 있도록 본 프로토타입 시스템을 설계하였다.

• 한국연소학회지
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• 제8권1호
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• pp.46-56
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• 2003

The present paper is concerned with the development of the computational biology in the past half century and its relationship with combustion. The modem computational biology is considered to be initiated by the work of Alan Turing on the morphogenesis in 1952. This paper first touches the life and scientific achievement of Alan Turing and his theory on the morphogenesis based on the reactive-diffusive instability, called the Turing instability. The theory of Turing instability was later extended to the nonlinear realm of the reactive-diffusive systems, which is discussed in the framework of the excitable media by using the Oregonator model. Then, combustion analogies of the Turing instability and excitable media are discussed for the cellular instability, pattern forming combustion phenomena and flame edge. Finally, the recent efforts on numerical simulations of biological systems, employing the detailed bio-chemical knietic mechanism is discussed along with the possibility of applying the numerical combustion techniques to the computational cell biology.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.561-564
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• 2005

본 논문은 생물다양성데이터 네트워크 구축에 필요한 국내외의 생물다양성데이터 표준형식과 프로토콜 등을 소개하고 지리적으로 분산된 국내 생물다양성데이터를 통합 검색하여 활용 할 수 있는 방법과 국내생물다양성데이터의 검색포탈을 어떻게 구축하였는지 설명한다. 다음으로 포탈구축에 사용된 데이터 표준, 데이터 교환 프로토콜, 시스템 아키텍쳐 그리고 소프트웨어 구성요소에 대해 설명하고 끝으로 검색포탈이 원활이 운영되어지기 위해 데이터 소유기관 등에서 필요한 활동과 생물다양성데이터 검색포탈 구축의 결과 및 기대효과 등에 서술한다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (2)
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• pp.91-93
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• 2005

생물다양성은 육상 생태계, 해양과 기타 수생 생태계와 이들의 복합 생태계를 포함하는 모든 원천에서 발생한 생물체의 다양성을 알하며, 종내$\cdot$종간 및 생태계의 다양성을 포함한다. 지구상에 존재하는 생물이 매우 다양하듯이 생물다양성을 표현하는 데이터 또한 매우 다양하게 사용되고 있다. 본 논문에서는 먼저 생물다양성 데이터의 점보공유 및 교환을 위해 생물다양성 관련 국제기구에서 제안된 데이터 표준 및 데이터 교환 프로토콜을 알아보고, 이러한 데이터 표준과 프로토콜을 기반으로 국내 생물다양성 데이터 공유 및 교환을 위한 생물다양성 메타데이터 스키마를 크게 생물종 정보와 종정보에 관한 참조(reference) 정보로 나누어 설계하여 제시하고자 한다.

• 대한약침학회지
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• 제18권3호
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• pp.11-18
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• 2015

Objectives: Systems biology is a novel subject in the field of life science that aims at a systems' level understanding of biological systems. Because of the significant progress in high-throughput technologies and molecular biology, systems biology occupies an important place in research during the post-genome era. Methods: The characteristics of systems biology and its applicability to traditional medicine research have been discussed from three points of view: data and databases, network analysis and inference, and modeling and systems prediction. Results: The existing databases are mostly associated with medicinal herbs and their activities, but new databases reflecting clinical situations and platforms to extract, visualize and analyze data easily need to be constructed. Network pharmacology is a key element of systems biology, so addressing the multi-component, multi-target aspect of pharmacology is important. Studies of network pharmacology highlight the drug target network and network target. Mathematical modeling and simulation are just in their infancy, but mathematical modeling of dynamic biological processes is a central aspect of systems biology. Computational simulations allow structured systems and their functional properties to be understood and the effects of herbal medicines in clinical situations to be predicted. Conclusion: Systems biology based on a holistic approach is a pivotal research methodology for understanding the mechanisms of traditional medicine. If systems biology is to be incorporated into traditional medicine, computational technologies and holistic insights need to be integrated.

• Molecules and Cells
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• 제27권3호
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• pp.271-277
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• 2009

Proteins interact with each other within a cell, and those interactions give rise to the biological function and dynamical behavior of cellular systems. Generally, the protein interactions are temporal, spatial, or condition dependent in a specific cell, where only a small part of interactions usually take place under certain conditions. Recently, although a large amount of protein interaction data have been collected by high-throughput technologies, the interactions are recorded or summarized under various or different conditions and therefore cannot be directly used to identify signaling pathways or active networks, which are believed to work in specific cells under specific conditions. However, protein interactions activated under specific conditions may give hints to the biological process underlying corresponding phenotypes. In particular, responsive functional modules consist of protein interactions activated under specific conditions can provide insight into the mechanism underlying biological systems, e.g. protein interaction subnetworks found for certain diseases rather than normal conditions may help to discover potential biomarkers. From computational viewpoint, identifying responsive functional modules can be formulated as an optimization problem. Therefore, efficient computational methods for extracting responsive functional modules are strongly demanded due to the NP-hard nature of such a combinatorial problem. In this review, we first report recent advances in development of computational methods for extracting responsive functional modules or active pathways from protein interaction network and microarray data. Then from computational aspect, we discuss remaining obstacles and perspectives for this attractive and challenging topic in the area of systems biology.

• Genomics & Informatics
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• 제2권1호
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• pp.7-18
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• 2004

Integrated genomics refers to the use of large-scale, systematically collected data from various sources to address biological and biomedical problems. A critical ingredient to a successful research program in integrated genomics is the establishment of an effective computational infrastructure. In this review, we suggest that the computational infrastructure challenges include developing tools for heterogeneous data organization and access, innovating techniques for combining the results of different analyses, and establishing a theoretical framework for integrating biological and quantitative models. For each of the three areas - data integration, analyses integration, and model integration - we review some of the current progress and suggest new topics of research. We argue that the primary computational challenges lie in developing sound theoretical foundations for understanding the genome rather than simply the development of algorithms and programs.

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2006년도 The 15th Korean Genome Organization Conference KOGO 2006 Annual Meeting
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• pp.43-43
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• 2006

• BMB Reports
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• 제56권1호
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• pp.43-48
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• 2023

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.