Metabolic Pathway Design A Practical Guide Learning Materials In Biosciences

Metabolic Pathway Design A Practical Guide Learning Materials In Biosciences
1. Introduction to engineering biology
1.1. The engineering waves of biology: genetic, genomics, systems and synthetic 
1.2. Industrial biotechnology in revolutions
1.3. The present: Design-Build-Test-Learn foundries
1.4. The future: automation, cloud biotechnology and artificial intelligence
2. Understanding the cell: genome-scale engineering
2.1. Systems biology models 
2.2. Model reconstruction from omics to big data
2.3. Model simulation through constraint-based approaches
2.4. Modeling dynamics
3. Sources of natural chemical diversity
3.1. Understanding the mechanisms of enzyme innovation and adaptation 
3.2. Knowledge-based encodings for chemical reactions
3.3. Modeling enzyme promiscuity using reaction rules and molecular signatures
3.4. Enumerating chemical diversity
4. Enzyme discovery and selection
4.1. Discovery through sequence homology
4.2. Discovery through reaction homology
4.3. Screening and selection through directed evolution
5. The metabolic space
5.1. Metabolic phenotypes
5.2. The metabolic spaces of the biosphere
5.3. Extended, non-natural and outer metabolic spaces
6. Pathway discovery
6.1. Defining chemical targets
6.2. Retrosynthetic analysis of the metabolic scope
6.3. Pathway enumeration
6.4. Pathway ranking
7. Pathway design
7.1. Pathway selection
7.2. Enzyme selection
7.3. Genetic parts selection
7.4. Combinatorial design
7.5. Experimental design
8. Chassis redesign
8.1. Knock-outs
8.2. Knock-ins
8.3. Knowledge-based redesign
9. Learning and adaptation
9.1. Principles of machine learning
9.2. Deep learning
9.3. Smart parts selection
9.4. Smart experimental redesign
10. Scaling-up and derivatization
10.1. Scale-up
10.2 Derivatization
10.3 Agile biodesign
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Biomedical engineering