Abstract ▼

Ⅳ. Result of the study
○ We designed and implemented the modeling and simulation software for making a new biological reaction network that occurs in cells by supporting visual modeling functions. When a user creates the biological model, the drag-drop function is more easily used for putting a n

Ⅳ. Result of the study
○ We designed and implemented the modeling and simulation software for making a new biological reaction network that occurs in cells by supporting visual modeling functions. When a user creates the biological model, the drag-drop function is more easily used for putting a new gene, protein, chemical, and protein complex into design canvas. Each component can be connected by reaction edges. A kinetic value and initial concentration for each component can be set via an input dialog. Each property of the component and reaction is displayed in the property view and can be used in the simulation process.
○ The software has employed a RCP framework, that has an expandable plug-in system architecture under OSGi alliance. Additionally, in order to support an intuitive modeling based on a GUI essential for organizing biological reaction networks, the Graphical Editing Framework (GEF) that is based on Draw2d for Eclipse graphic treatment and Eclipse RCP was used.
○ The modeling software was designed to provide the visualization of various intracellular substances and to support the intuitive modeling of reaction networks. The user data module supports data management in folder units, enabling researchers to define all biological information related to their projects by themselves. A user manages their projects hierarchically and designs various models related to biological information.
○ Our software was designed to utilize the user’s biological information in order to facilitate the visualization of genomic information and the design of the researcher’s reaction network. It has a data processing part to control external data and its user data.
○ The software focuses on the simulation module and allows the generation of a mathematical model by using automated processing without mathematical techniques for the biological reaction networks. It performs a computer simulation for analyzing the biological reaction networks with ordinary differential equations
○ VCellSim that can simulate various reactions in cells in the supercomputer to support the massive analysis of biological networks is connected to the simulation software
○ The software has various importing functions including SBML, genome data, proteome data, and chemical data from NCBI or EBI websites.
○ We implemented an OSGi-based scalable client interface based on web services to connect the EBI BioModels database. A user can choose the specific biological models in the dialog box and manipulate the biological network in the canvas

목차 Contents

• 표지 ... 1
• 제 출 문 ... 2
• 보고서 요약서 ... 3
• 요 약 문 ... 4
• Summary ... 7
• Contents ... 11
• 목차 ... 13
• 표 차례 ... 15
• 그림 차례 ... 16
• 1. 연구개발 과제의 개요 ... 18
• 1.1. 연구개발의 목적 및 필요성 ... 19
• 1.1.1. 연구의 목적 ... 19
• 1.1.2. 연구목표 ... 20
• 1.1.3. 연구의 필요성 ... 20
• 2. 국내외 기술개발 현황 ... 21
• 2.1. 국내외 기술동향 분석 ... 22
• 2.1.1. 국외 기술동향 분석 ... 22
• 2.1.2. 국내 기술동향 분석 ... 26
• 2.1.3. 대표적인 기술 활용사례 ... 28
• 2.2. 유사 연구과제 및 차별성 ... 29
• 2.2.1. 유사 선행연구 목록 ... 29
• 3. 연구 수행 내용 및 결과 ... 30
• 3.1. 연구내용(범위) ... 31
• 3.2. 연구결과 ... 32
• 3.2.1. 생물학적 반응 네트워크 분석을 위한 가시화된 모델링 기술 개발 ... 32
• 3.2.2. 생물학적 반응 네트워크에 대한 시뮬레이션 분석 연동 기술 개발 ... 57
• 3.2.3. 세포내의 물질 반응에 대한 시계열 분석 결과의 가시화 기능 개발 ... 63
• 3.2.4. 다양한 세포 반응의 연구 분석을 위한 각 요소 기술의 통합 및 서비스를 위한 클라이언트 소프트웨어 개발 ... 70
• 4. 목표달성도 및 관련분야에의 기여도 ... 78
• 4.1. 연구목표 달성도 ... 79
• 4.2. 관련분야 기여도 ... 80
• 4.2.1. 기술적 파급효과 ... 80
• 4.2.2. 경제적 파급효과 ... 80
• 5. 연구개발결과의 활용계획 ... 81
• 참고문헌 ... 83
• 끝페이지 ... 86