Human Microbiome Modulators: A Computational Biology Approach : An in Silico Approach Towards Modulating Human Microbiome Activity with Natural Products (Advances in Experimental Medicine and Biology)

Das Talukdar, Anupam (EDT)/ Shukla, Amritesh Chandra (EDT)

Springer Nature（2026/07発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819200092

Full Description

This book presents a timely and comprehensive examination of the evolving relationship between the human microbiome, pharmacology, and computational science. This volume delves into how computational tools are transforming our understanding of microbiome-host-drug interactions and enabling the development of microbiome-targeted therapeutics. It explores in silico methodologies that predict microbial responses, model drug-induced dysbiosis, and design precision interventions to improve health outcomes.

The book is grounded in the recognition that the microbiome plays a critical role in immunity, chronic disease progression, and therapeutic efficacy. With detailed attention to the gut-brain axis, cancer prevention, personalized nutrition, and the metabolic activity of phytochemicals, the chapters offer a rich analysis of natural and synthetic modulators. It highlights how probiotics, prebiotics, and synbiotics influence health and disease, particularly when assessed through computational models.

In its second half, the volume shifts focus to the technological and analytical tools that power modern microbiome research. Topics include machine learning, virtual screening, molecular docking, systems biology, and multi-omics integration. Together, these tools offer scalable and predictive insights that can guide the discovery of novel therapies. The final section addresses ethical and regulatory challenges, clinical translation, and future directions in personalized microbiome medicine. A pioneering resource bridging biology, pharmacology, and computation, this book is intended for researchers, clinicians, pharmaceutical scientists, and graduate students engaged in microbiome science, drug discovery, computational biology, and precision medicine.

Contents

Chapter 1. The Human Microbiome, Dysbiosis, and Microbiome-Based Therapies.- Chapter 2. Phytochemicals, Microbial Metabolism, and Their Role in Chronic Disease Modulation.- Chapter 3. PROBIOTICS, PREBIOTICS, SYNBIOTICS AND THE GUT BRAIN AXIS IN PRECISION HEALTH.- Chapter 4. Microbiome Modulation in Cancer Prevention, Personalized Nutrition, and Precision Medicine.- Chapter 5. Overview of In Silico Methods in Microbiome Studies.- Chapter 6. Technological Frontiers in Microbiome Research: From Metagenomic Profiling to Functional and Spatial Characterization.- Chapter 7. Machine Learning Applications in Predicting Microbial Interactions.- Chapter 8. Multi-Omics Integration for Microbiome Analysis.- Chapter 9. Virtual Screening of Microbiome Modulators: Mechanisms, Computational Approaches, and Therapeutic Applications.- Chapter 10. Molecular Docking and Dynamics for Microbial Target Prediction.- chapter 11. NETWORK BIOLOGY IN MICROBIOME MODULATION.- Chapter 12. AI-based tools for predicting gut age index and health status.- Chapter 13. Systems Biology Models in Microbiome Therapeutics.- Chapter 14. The Ethical and Regulatory Considerations in Microbiome-Based Research and Therapeutics.- Chapter 15. Translating Microbiome Research into Clinical Practice.- Chapter 16. Future Direction in Gut Microbiome Modulation.