시스템생명공학

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자연과학 >생물ㆍ화학ㆍ환경 >생물학
강의학기

2016년 2학기

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4,337
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4/5.0 (1)

강의계획서

시스템생명공학은 기존 생물학의 환원주의적인 접근 방식의 한계를 극복하고 생물학적 체제들을 총괄적이고, 체계적으로 이해하는 것을 목적으로 하는 생명공학이 새로운 분야이다. 통합 유기적인 생명현상에 대한 분석능력 및 인지능력배양하기 위해 현대 생물학의 산물인 방대한 생명현상의 정보를 활용하여 새로운 차원의 생명공학기술을 도출할 수 있는 지식에 관련된 내용을 교육한다.

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Introduction

차시별 강의

1.	Introduction	Basic concepts in systems biology
	Introduction	Basic concepts in systems biology_ Biology in Time and space
2.	Modeling of Biochemical Systems	Modeling approaches for biochemical systems
3.	Structural Modeling and Analysis of Biochemical Networks	Metabolic network analysis: structure
	Structural Modeling and Analysis of Biochemical Networks	Metabolic network analysis: structure
4.	Structural Modeling and Analysis of Biochemical Networks	Constraint-Based Model
	Structural Modeling and Analysis of Biochemical Networks	Constraint-Based Model, Example solving
5.	Structural Modeling and Analysis of Biochemical Networks	Metabolic network analysis: simulation
	Structural Modeling and Analysis of Biochemical Networks	Types of Objective Function
6.	Structural Modeling and Analysis of Biochemical Networks	Metabolic network analysis: simulation Example, MOMA
	Structural Modeling and Analysis of Biochemical Networks	Metabolic network analysis: simulation Flux Variability Analysis, Strain optimization
7.	Metabolic Control Analysis	Metabolic Control Theory, Sensitivity Analysis
	Metabolic Control Analysis	coefficients of MCA, Theorems of MCA
8.	Metabolic Control Analysis	Distribution of Control, Connectivity Theorems - General Relations
	Data Formats, Simulation Techniques, and Modeling Tools	Modeling Tools: Kinetic Modeling software, standards and formats for systems biology
9.	Network Structures, Dynamics and Function	Biological Netwerk Basic
10.	Network Structures, Dynamics and Function	Properties of Real-work complex Networks
	Network Structures, Dynamics and Function	Summary of networks, Scale-free networks
11.	Network Structures, Dynamics and Function	Modeling of gene Expression, Hill Equation
	Network Structures, Dynamics and Function	Properties of Regulatory Connections, Network Motifs in Transcription Network
12.	Network Structures, Dynamics and Function	Network Motifs: Feed-Forward Loop
	Network Structures, Dynamics and Function	Network Motifs: Dense Overlapping Regulons(DOR)