Postgenomic Approaches in Drug and Vaccine Development 1st Edition by Kishore Sakharkar, Meena Sakharkar, Ramesh Chandra ISBN 1000792390 9781000792393

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Product details:

ISBN 10: 1000792390

ISBN 13: 9781000792393

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

Post-genomic Approaches in Drug and Vaccine Development 1st Edition: 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.

 

Post-genomic Approaches in Drug and Vaccine Development 1st Edition Table of contents:

1. Drug Discovery: Diseases, Drugs, and Targets

• 1.1 Introduction
• 1.2 Drug Discovery
  • 1.2.1 Phase 1 Clinical Trial: Perform initial human testing in a small group of healthy volunteers
  • 1.2.2 Phase 2 Clinical Trial: Test in a small group of patients
  • 1.2.3 Phase 3 Clinical Trial: Test in a large group of patients to show safety and efficacy
• 1.3 Drug and Targets
  • 1.3.1 Drugs/target and Targets/drug
• 1.4 Disease Genes – Targets and Drugs
• 1.5 Conclusions

2. Target Identification and Validation in Microbial Genomes

• 2.1 Introduction
• 2.2 Strategies for Target Identification in Silico
  • 2.2.1 Essential genes
  • 2.2.2 Conserved genes
  • 2.2.3 Disordered proteins
  • 2.2.4 Load point & Choke points, and FBA
  • 2.2.5 Virulence proteins
  • 2.2.6 In vitro experiments
  • 2.2.7 Overlapping genes/proteins
  • 2.2.8 Fusion proteins
  • 2.2.9 Hub proteins and networks
  • 2.2.10 Membrane proteins, uncharacterized essential genes, species-specific genes as targets
  • 2.2.11 Structural genomics
  • 2.2.12 Selectivity
  • 2.2.13 Target prioritization in completely sequenced Pseudomonas aeruginosa genomes
  • 2.2.14 Genomes/Conserved proteins/Non-human homologs
  • 2.2.15 Disordered regions and Virulent factors
  • 2.2.16 Identification of unique enzymes in unique and shared pathways
  • 2.2.17 Comparison of unique enzymes to essential gene data
  • 2.2.18 Choke points
  • 2.2.19 FBA
  • 2.2.20 Mutagenesis
• 2.3 Conclusions

3. A Prioritization Analysis of Disease Association by Data-mining of Functional Annotation of Human Genes

• 3.1 Introduction
  • 3.1.1 Genetics underlying disease
  • 3.1.2 The era of genomics
  • 3.1.3 Genes and their function
  • 3.1.4 Disease gene prioritization
  • 3.1.5 Beyond genes – functional annotation of the entire genome
• 3.2 Definition of a Gene
• 3.3 Data-Mining Functional Annotation
• 3.4 Experimental Sources of Functional Annotation
• 3.5 Inferred Functional Annotation Through Sequence Similarity
• 3.6 High Throughput Candidate Disease Gene Prioritization Through Semantic Discovery
  • 3.6.1 The BioOntological Relationship Graph (BORG) Semantic Database
  • 3.6.2 Mining the BORG Database Through Semantic Querying
    • 3.6.2.1 Ontology seeded queries
    • 3.6.2.2 Annotation retrieval
    • 3.6.2.3 Path-based transitive association queries
• 3.7 Conclusions

4. Genomics-Guided Discovery of Novel Therapeutics of Actinobacterial Origin

• 4.1 Introduction
• 4.2 Alternative Culturing Methodologies for Diversification of Microbial Natural Products
  • 4.2.1 Exploring naive ecosystems for sample collections
  • 4.2.2 Acknowledging significance of microbial symbiosis
  • 4.2.3 Culture-independent sampling approaches
  • 4.2.4 Manipulating culture conditions for maximizing natural product biosynthesis by cultured microorganisms
  • 4.2.5 Microbial co-culturing for improved synthesis of natural products
• 4.3 Genetics/Genomics-Guided Approaches for Diversification of Microbial Natural Products
  • 4.3.1 Heterologous expression of environmental DNA
  • 4.3.2 Whole genome sequencing and data mining
  • 4.3.3 Genome scanning with genome sequence tags
  • 4.3.4 Homology-guided metagenomic screening
  • 4.3.5 Genomics-guided induction of cryptic gene clusters
    • 4.3.5.1 Ribosome engineering
    • 4.3.5.2 Modulating dasR activity
  • 4.3.6 Genomics-guided combinatorial biosynthesis of novel microbial natural products
• 4.4 Conclusions

5. Chemogenomics Approach to Computer Aided Drug Discovery

• 5.1 Introduction
• 5.2 Description of Protein Ligand Spaces
  • 5.2.1 Protein space
  • 5.2.2 Ligand space
• 5.3 Applications
  • 5.3.1 Target fishing
    • 5.3.1.1 Similarity searching in chemical databases
    • 5.3.1.2 Data-mining in annotated databases
    • 5.3.1.3 Molecular docking
  • 5.3.2 Prediction of The Bioprofiles of Drugs
  • 5.3.3 Drug Repurposing
• 5.4 Conclusions

 

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Kishore Sakharkar,Meena Sakharkar,Ramesh Chandra,Postgenomic Approaches,Drug,Vaccine,Development