Molecular Evolutionary Models in Drug Discovery 1st Edition by Juan Bueno – Ebook PDF Instant Download/DeliveryISBN: 0128189290, 9780128189290
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ISBN-10 : 0128189290
ISBN-13 : 9780128189290
Author: Juan Bueno
Molecular Evolutionary Models in Drug Discovery explores the application of evolutionary molecular models in drug discovery in which secondary metabolites play a fundamental role. Secondary metabolites are not produced in isolation, they are the result of the interaction of genes, metabolism and the environment. The book examines the role of secondary metabolites as leads in drug discovery and on the development of a rational bioprospecting model for new medicines based on the evolution of secondary metabolism. These evolutionary models are part of biological systems and are the most reliable expression of the functioning of living beings.
- Examines the integration and application of evolutionary models in the pharmaceutical industry to create new drug development platforms
- Investigates the biotechnological prospecting of secondary metabolites and their potential use in the discovery of new drugs
- Evaluates the ecosystem of living beings and how its molecular adaptation might improve the success of therapies
Molecular Evolutionary Models in Drug Discovery 1st Table of contents:
Chapter 1: Molecular evolution: The origins of interaction
Abstract
Acknowledgments
1.1 Introduction
1.2 Aperiodic crystals and biological molecules
1.3 Cell-to-cell communication
1.4 Biofilm as an evolutionary niche
1.5 The rise of macroscopic symbiotic holobionts
1.6 Secondary metabolism: Innovations for survival
1.7 Complex biological systems, cooperation, and solidarity
1.8 Biotechnology of molecular evolution: Interaction in the application
1.9 Conclusions
Chapter 2: Thermodynamics of secondary metabolism: The triumph of living systems
Abstract
2.1 Introduction
2.2 Life in the second law of thermodynamics
2.3 Thermodynamics of intercellular communication
2.4 Thermodynamic epigenetics of secondary metabolism
2.5 Symbiotic holobiont thermodynamics
2.6 Entropic interactomes and their influence in the hologenome
2.7 Biosynthetic gene clusters: Communication and entropy
2.8 Thermodynamics in complex biological systems: Implications in health and disease
2.9 Biotechnological applications of hologenomics: The power of holobiontic adaptation
2.10 Conclusions
Chapter 3: Natural products and molecular networks
Abstract
3.1 Introduction
3.2 Life and secondary metabolism: Interactions in evolution
3.3 Natural products as molecular communicators
3.4 Natural products: Networks in the RNA world
3.5 Epigenetics of secondary metabolism
3.6 The symbiotic holobiont as a molecular network
3.7 Chemical signaling and the hologenome
3.8 Holobiont health communication and symbiosis
3.9 Conclusions
Chapter 4: Chemical evolution: Life as the lab of the universe
Abstract
4.1 Introduction
4.2 Chemical evolution and communication in the RNA world
4.3 Chemical evolution and proteins: The first model
4.4 Multifunctional enzymes and the secondary metabolites explosion
4.5 Cytochromes as enhancers of specialized metabolites
4.6 The interaction between the environment and multifunctional enzymes: Adaptation in chemical diversity
4.7 Symbiosis: The role of the holobiont as a source of chemical evolution
4.8 Conclusions
Chapter 5: Autopoietic symbiogenesis in secondary metabolism
Abstract
5.1 Introduction
5.2 Secondary metabolism in interactions and mutualism
5.3 Ribosomes, secondary metabolism, and molecular evolution
5.4 Metabolomics in the holobiontic unit
5.5 Metagenomics in the symbiopoiesis of holobionts
5.6 Hologenome metabolomics: Adaptation in chemical diversity
5.7 Symbiopoiesis and cognition: Life has commitment, concentration, and will
5.8 Conclusions
Chapter 6: Metabolomics of epigenetics: A history of the integrome
Abstract
6.1 Introduction
6.2 Metabolic flux analysis of epigenetics: The route toward chemical diversity
6.3 Epigenetics in the RNA world: The rise of fitness
6.4 Multifunctional enzymes and epigenetic regulation: The source of promiscuity
6.5 Fluxomics, adaptomics, and epigenomics in the holobiontic unit
6.6 Inheritable symbiosis in adaptation
6.7 Epigenetics, epitranscriptomics, and the integrome: Adaptation in biotechnological innovation
6.8 Conclusions
Chapter 7: Systems biology, drug development, and clinical outcomes
Abstract
7.1 Introduction
7.2 Systems biology in the exposome
7.3 Evolutoma and interactomes: Toward a protocol of personalized medicine
7.4 Phenomics of personalized medicine
7.5 Systems biology and symbiosis in homeostasis
7.6 Metagenomics in personalized medicine and drug development: The microbiome makes the holobiont
7.7 Symbiotic approaches in the development of new drugs, balance, pliability, adaptation, and healing
7.8 Conclusions
Chapter 8: Toxical autopoiesis
Abstract
8.1 Introduction
8.2 Evolutionary hormesis
8.3 ROS in the RNA world
8.4 Mitohormesis as an adaptative response
8.5 Microbiomes and the proteasome, endoplasmic reticulum, and mitochondria (PERM) hypothesis
8.6 Hormesis, autopoiesis, and drug discovery
8.7 Conclusions
Chapter 9: Autocatakinesis systems in drug discovery
Abstract
9.1 Introduction
9.2 Metabolic autocatakinesis
9.3 The RNA world, proteostasis, and thermodynamic equilibrium
9.4 Heat shock proteins, adaptative response, and thermodynamic evolution
9.5 Autocatakinesis, symbiosis, interactions, and balance in mutualism
9.6 Autocatakinesis systems in drug discovery
9.7 Conclusions
Chapter 10: Biophysics applications in drug discovery: Working toward a new integrative model
Abstract
10.1 Introduction
10.2 Systems biology in an evolutionary model in drug discovery
10.3 Biophysical methods and thermodynamic drug discovery
10.4 The metabolomics of homeostasis
10.5 Metagenomics, metabolomics, and symbiotic drugs
10.6 Biophysical methods in biotechnology
10.7 Conclusions
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Tags: Molecular, Evolutionary Models, Drug Discovery, Juan Bueno