New approach for drug repurposing represents drug discovery and development which is a tedious process that requires 10-15 years of time, investments up to $1-2 billion, and have high risk of failure to enter into market for clinical applications. As the drugs has to pass through number of developmental phase, the likelihood for a drug to be approved from phase I clinical trial to United States of Food and Drug Administration (USFDA) approval is less than 10%. More than 90% of drugs failed in due to toxicity, efficacy and clinical trials. Drug repurposing is one of the roadway to accelerating drug discovery and development for treating disease and thus to providing better quality of life.
This volume covers an overview of drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, computational biology, system biology, artificial intelligence and machine learning for drug repurposing, target identification, target mining, high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration and intellectual property right of repurposed drug. This volume highlights a number of aspects of the drug repurposing that can help the basic understanding of students, researchers, clinicians, entrepreneurs, and stakeholders to perform their research with great interest.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Preface - p. iii 7. Chapter One: An overview to drug repurposing - p. 2 8. Chapter Two: Novel strategies for drug repurposing - p. 10 9. Chapter Three: Reimagining old drugs with new tricks: Mechanisms, strategies and notable success stories in drug repurposing for neurological diseases - p. 24 10. Chapter Four: Lab on chip for testing of repurposed drugs - p. 72 11. Chapter Five: Computational biology approaches for drug repurposing - p. 92 12. Chapter Six: Synergizing drug repurposing and target identification for neurodegenerative diseases - p. 113 13. Chapter Seven: Application of artificial intelligence and machine learning in drug repurposing - p. 172 14. Chapter Eight: Current approaches in identification of a novel drug targets for drug repurposing - p. 214 15. Chapter Nine: System biology approaches for drug repurposing - p. 222 16. Chapter Ten: Current progress in high-throughput screening for drug repurposing - p. 248 17. Chapter Eleven: Approaches of pre-clinical and clinical trials of repurposed drug - p. 260 18. Chapter Twelve: Repurposing of biologics and biopharmaceuticals - p. 278 19. Chapter Thirteen: Innovative target mining stratagems to navigate drug repurposing endeavours - p. 305 20. Chapter Fourteen: Regulatory considerations and intellectual property rights of repurposed drugs - p. 358 21. Index - p. 375
New approach for drug repurposing represents drug discovery and development which is a tedious process that requires 10-15 years of time, investments up to $1-2 billion, and have high risk of failure to enter into market for clinical applications. As the drugs has to pass through number of developmental phase, the likelihood for a drug to be approved from phase I clinical trial to United States of Food and Drug Administration (USFDA) approval is less than 10%. More than 90% of drugs failed in due to toxicity, efficacy and clinical trials. Drug repurposing is one of the roadway to accelerating drug discovery and development for treating disease and thus to providing better quality of life.
This volume covers an overview of drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, computational biology, system biology, artificial intelligence and machine learning for drug repurposing, target identification, target mining, high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration and intellectual property right of repurposed drug. This volume highlights a number of aspects of the drug repurposing that can help the basic understanding of students, researchers, clinicians, entrepreneurs, and stakeholders to perform their research with great interest.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Preface - p. iii 7. Chapter One: An overview to drug repurposing - p. 2 8. Chapter Two: Novel strategies for drug repurposing - p. 10 9. Chapter Three: Reimagining old drugs with new tricks: Mechanisms, strategies and notable success stories in drug repurposing for neurological diseases - p. 24 10. Chapter Four: Lab on chip for testing of repurposed drugs - p. 72 11. Chapter Five: Computational biology approaches for drug repurposing - p. 92 12. Chapter Six: Synergizing drug repurposing and target identification for neurodegenerative diseases - p. 113 13. Chapter Seven: Application of artificial intelligence and machine learning in drug repurposing - p. 172 14. Chapter Eight: Current approaches in identification of a novel drug targets for drug repurposing - p. 214 15. Chapter Nine: System biology approaches for drug repurposing - p. 222 16. Chapter Ten: Current progress in high-throughput screening for drug repurposing - p. 248 17. Chapter Eleven: Approaches of pre-clinical and clinical trials of repurposed drug - p. 260 18. Chapter Twelve: Repurposing of biologics and biopharmaceuticals - p. 278 19. Chapter Thirteen: Innovative target mining stratagems to navigate drug repurposing endeavours - p. 305 20. Chapter Fourteen: Regulatory considerations and intellectual property rights of repurposed drugs - p. 358 21. Index - p. 375
