Post-genomic Approaches in Drug and Vaccine Development

Kishore R. Sakharkar, Meena K. Sakharkar, Ramesh Chandra

• Publisher: River Publishers
• Year: 2022
• Print ISBN:
  9788793102842
• eBook ISBN:
  9781000792393
• Topic: Physical Sciences
• Subtopic: Genetics in Medicine

Over the past decade, genome sequencing projects and the associated efforts have facilitated the discovery of several novel disease targets and the approval of several innovative drugs. To further exploit this data for human health and disease, there is a need to understand the genome data itself in detail, discover novel targets, understand their role in physiological pathways and associated diseases, with the aim to translate these discoveries to clinical and preventive medicine. It is equally important to understand the labors and limitations in integrating clinical phenotypes with genomic, transcriptomic, proteomic and metabolomic approaches. T

Table of contents

• Cover
• Half Title
• Series
• Title
• Copyright
• Contents
• Series Note
• Preface
• Acknowledgements
• List of Figures
• List of Tables
• 1 Drug discovery: Diseases, Drugs and Targets
• 2 Target Identification and Validation in Microbial Genomes
• 3 A Prioritization Analysis of Disease Association by Data-mining of Functional Annotation of Human Genes
• 4 Genomics-Guided Discovery of Novel Therapeutics of Actinobacterial Origin
• 5 Chemogenomics Approach to Computer Aided Drug Discovery
• 6 Network Biology Methods for Drug Repositioning
• 7 Hypothesis Driven Multi-target Drug Design
• 8 Genomics in Vaccine Development
• 9 Toward the Computer-aided Discovery and Design of Epitope Ensemble Vaccines
• 10 Vaccine Discovery and Translation of New Vaccine Technology
• 11 Outer Membrane Proteins as Potential Candidate Vaccine Targets
• 12 Systems Biology Approaches to New Vaccine Development
• 13 Inhibition of Virulence Potential of Vibrio Cholerae by Herbal Compounds
• 14 In silico Approaches for Dealing With Gene Regulatory Networks to Understand Molecular Mechanisms of Immunity in Infectious Disease
• 15 Statistical Methods to Predict Drug Side-Effects
• About the Editors
• About the Contributors
• Index