Metabolic pathway engineering analysis and applications in the life sciences

✍ Scribed by Jean F. Challacombe

• Year: 2021
• Tongue: English
• Leaves: 167
• Category: Library

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Contents
Preface
1. Understanding the Biology of Organisms Through Studies of Metabolism
1.1 Introduction
1.2 Studies of Metabolism
1.2.1 Early Experiments
1.2.2 Quantitative Metabolic Network Modeling
1.2.3 Metabolic Pathway Analysis
1.2.4 Genome Sequencing Technology
2. Computational Tools and Approaches for Metabolic Network Reconstruction and Modeling
2.1 Introduction
2.2 Constructing a Genome-Scale Metabolic Model
2.3 Tools for Creating Metabolic Reconstructions and Metabolic Network Models
3. Understanding Microbial Communities
3.1 Introduction
3.2 Metagenomics
3.2.1 Molecular Characterization of Microbial Communities
3.2.2 Application of Next-Generation Sequencing Technology to Microbial Communities
3.3 Systems Biology Approaches to Microbial Communities
3.3.1 Microbial Interactions
3.3.2 Metabolic Interactions
3.3.3 Metabolic Modeling of Microbial Communities
3.3.3.1 Metabolic modeling approaches and tools
3.3.3.2 Limitations of metabolic modeling approaches
3.4 Future Perspectives
4. In silico Identification of Drug and Vaccine Targets Against Human, Animal, and Plant Pathogens
4.1 Introduction
4.2 Computational Identification of Drug Targets
4.2.1 Human and Animal Pathogens
4.2.1.1 Bacterial pathogens
4.2.1.2 Fungal pathogens
4.2.1.3 Parasites
4.2.2 Plant Pathogens
4.2.3 Host–Pathogen Interactions
4.3 Computational Methods for Vaccine Design
5. Metabolic Engineering
5.1 Introduction
5.2 Genomics and Metabolic Engineering
5.3 Bioprocess Engineering
5.3.1 Systems Metabolic Engineering
5.3.1.1 Overview
5.3.1.2 Tools and approaches
5.3.2 Metabolic Engineering in Plants
5.4 Future Directions
6. Microbiome Engineering
6.1 Introduction
6.2 Human Microbiome Engineering
6.3 Plant Microbiome Engineering
6.4 Design of Synthetic Microbial Communities
6.5 Applications of Microbiome Engineering
7. The Future of Systems Metabolic Engineering
7.1 Introduction
7.2 Genomics-Enabled Approaches
7.3 Enzyme Engineering
7.4 Modeling and Simulation
7.5 Synthetic Biology
7.6 Conclusions
Index