Computational immunology : applications / Shyamasree Ghosh.

Format:

Book

Author/Creator:

Ghosh, Shyamasree, author.

Language:

English

Subjects (All):

Immunoinformatics.

Physical Description:

1 online resource (201 pages)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, Taylor & Francis Group, [2020]

Summary:

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI) Scientific Officer (F), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Contents:

Cover

Half Title

Title Page

Copyright Page

Dedication

Table of Contents

Preface

Acknowledgments

Author

List of Abbreviations

Introduction

Chapter 1: Understanding Cell Fate and Computational Immunology

1.1 Introduction

1.2 Cell Fate

1.3 Computation and Stem Cell Biology and Cell Fate

1.4 Cell Cycle and Microenvironment in Cell Fate Determination

1.5 T and B Cell Fate Determination

1.5.1 T Cell Fate

1.5.2 B Cell Fate

1.6 Computational Prediction of Stem Cell Fates

1.7 Statistical Analysis and Application in Understanding of Stem Cell Fate

1.8 Deterministic and Stochastic Models of Cell Fate Choice

1.9 Decision Making and Disease

1.10 Statistical Analyses and Gene Regulatory Networks (GRNs)

1.10.1 Principal Components Analysis (PCA)

1.10.2 Partial Least Squares (PLS) Regression and GRNs

1.11 Discussions

References

Chapter 2: Next Generation Sequencing (NGS) and Computational Immunology

2.1 Introduction

2.2 NGS: A Glimpse through Available Technologies

2.3 NGS: Applications of Different Tools and Techniques

2.4 NGS and Tools of Data Analysis

2.5 NGS Applications

2.5.1 Applications in the Immune System

2.5.1.1 NGS in TCR Studies

2.5.1.2 NGS in BCR Studies

2.5.2 Cancer

2.5.3 NGS and Microbial Application

2.5.4 Infectious Diseases

2.5.5 NGS and Transplantation

2.5.6 Systemic Autoimmune Diseases

2.6 Single Cell Transcriptomics

2.7 ImmuneDB

2.8 ASAP-A Webserver for Immunoglobulin-Sequencing Analysis Pipeline

2.9 Discussions

Chapter 3: Computational Modeling and Biology of Disease

3.1 Introduction

3.2 Computation and Biology of Disease

3.2.1 Neurological Disorders

3.2.2 Respiratory Disorders

3.2.3 Cardiovascular Disorders

3.2.4 Diseases of the Bone

3.2.5 Kidney Diseases

3.2.6 Cancer.

3.2.7 Immunological Disorders

3.2.8 Infectious Diseases

3.2.9 Metabolic Disorder

3.2.9.1 Databases

3.2.9.2 Human Microbiome and Computational Methods

3.3 Discussion

Chapter 4: Drug Designing and Computational Immunology

4.1 Introduction

4.2 Computer-Aided Drug Designing (CADD)

4.3 Structure-Based Computer-Aided Drug Design (SB-CADD)

4.4 Polypharmocology

4.5 Adverse Drug Reactions

4.6 Retrobiosynthesis

4.7 Applications in Diseases

4.7.1 Neurological Diseases

4.7.2 Targeting Biomolecules and Channelopathies

4.7.3 Targeting P450

4.7.4 Nanoparticle Drug Delivery Devices

4.7.5 Cancer

4.7.6 Cardiovascular

4.7.7 Antimicrobials

4.7.8 Drug Design and Immune System

4.7.9 Diabetes

4.7.10 Infectious Diseases

4.7.10.1 Influenza

4.7.10.2 Human Trypanosomiasis

4.7.10.3 HIV

4.7.10.4 Malaria

4.8 Small Molecules

4.9 Pocket-Based Drug Design

4.10 Drug Repositioning

4.11 Natural Compounds

4.12 Vaccination

4.13 Ligand-Based CADD (LB-CADD)

4.14 Discussion

Chapter 5: Computation and Identification of Biomarkers

5.1 Introduction

5.2 Biomarkers

5.3 Different Approaches to Biomarker Discovery

5.4 Computation and Identification of Biomarkers in Health

5.5 Computation and Identification of Biomarkers in Disease

5.5.1 Cancer

5.5.2 Inflammation Disorders

5.5.3 Inflammatory Bowel Disease (IBD)

5.5.4 HIV

5.5.5 Cardiovascular

5.5.6 Neurological

5.6 Discussion: Biomarkers in Detection of Clinical Outcomes

Chapter 6: Applications in Organ Transplantation

6.1 Introduction

6.2 Global Knowledge Base on Transplantation

6.3 Computer Simulations and Applications in Transplantation

6.4 Cardiac Transplants

6.5 Liver Transplantation

6.6 Kidney Transplantation

6.7 Lung Transplantation.

6.8 Others

6.9 Immunosuppression

6.10 Discussion

Chapter 7: Application in Disease Detection and Therapy

7.1 Introduction

7.2 Computation and Disease Detection and Monitoring

7.3 Cancer

7.4 Surgery

7.5 Brain Disorders

7.6 Cardiac Disorders

7.7 Studies in Animal Models

7.7.1 Neural Disorders

7.7.2 Therapy Outcome in HIV

7.7.3 Asthma

7.7.4 Antibiotic Research

7.7.5 Immunization

7.8 Discussion

Chapter 8: Computational Methods and Applications in Understanding of the Invertebrate Immune System

8.1 Introduction

8.1.1 Immune Cells and Systems and Pathways in Different Organisms in the Invertebrate Phyla

8.1.1.1 Immune System in Sponges

8.1.1.2 Cnidaria

8.1.1.3 Platyhelminthes

8.1.1.4 Nematodes

8.1.1.5 Annelida

8.1.1.6 Arthropoda

8.1.1.7 Mollusca

8.1.2 Regeneration in Planaria

8.1.3 Invertebrate Immunity and Database

8.2 Discussion

Chapter 9: Computational Immunology and Studies from the Human Immune System

9.1 Introduction

9.2 Infectious Disease

9.3 Modeling of H. pylori Infection Responses

9.4 Computational Immunology and Immune Responses

9.5 Computational Immunology and Insights into Macrophage Function

9.6 Discussion

Further Reading

Glossary

Index.

Notes:

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

1-351-02348-9

1-351-02349-7

1-351-02350-0

9781351023504

OCLC:

1139377582