Singh | New Approach for Drug Repurposing Part A | E-Book | sack.de
E-Book

E-Book, Englisch, Band Volume 205, 300 Seiten

Reihe: Progress in Molecular Biology and Translational Science

Singh New Approach for Drug Repurposing Part A


1. Auflage 2024
ISBN: 978-0-443-22339-6
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, Band Volume 205, 300 Seiten

Reihe: Progress in Molecular Biology and Translational Science

ISBN: 978-0-443-22339-6
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



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. - To offer drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, - To offer computational biology, system biology, artificial intelligence and machine learning for drug repurposing, - To offer high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration

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