Computationally Guided Drug Repurposing as a Drug Development Strategy

Computationally Guided Drug Repurposing as a Drug Development Strategy PDF Author: Paul Andrew Novick
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The pharmaceutical industry is experiencing unprecedented financial pressures and unsustainable research expenditures, threatening to compromise the robust development of new therapies. In response many pharmaceutical companies and translational research organizations have invested heavily in new technologies promising more efficient and productive research, including high-throughput screening, combinatorial chemistry for compound library generation, genetics and pharmacokinetics, and many others. Unfortunately these technologies have largely failed to significantly increase the efficiency of pharmaceutical research, as evidenced by the steady increase in research dollars required per new approved drug (currently estimated at nearly $2 billion). Given this paradigm, new drug discovery strategies are badly needed. In this dissertation, I describe the development and application of computational methods to drug repurposing, and evaluate the robustness of this strategy across a diverse set of human diseases. Section 1 reports the application of a range of computational techniques to drug discovery questions relevant to Alzheimer's disease (amyloid- ), pain related diseases (voltage-gated sodium channels), and cancer (matrix metalloproteinase 2). In Section 2, I describe the specific application of ligand-based computational screening to inform drug repurposing efforts against Alzheimer's disease, Chagas disease, and Dengue fever. Finally, in Section 3, the importance of data quality to computationally guided repurposing is discussed in relation to the creation of curated databases for drug repurposing (the SWEETLEAD database) and for P-glycoprotein modulators (for use in model building/evaluation).

Computationally Guided Drug Repurposing as a Drug Development Strategy

Computationally Guided Drug Repurposing as a Drug Development Strategy PDF Author: Paul Andrew Novick
Publisher:
ISBN:
Category :
Languages : en
Pages :

Get Book Here

Book Description
The pharmaceutical industry is experiencing unprecedented financial pressures and unsustainable research expenditures, threatening to compromise the robust development of new therapies. In response many pharmaceutical companies and translational research organizations have invested heavily in new technologies promising more efficient and productive research, including high-throughput screening, combinatorial chemistry for compound library generation, genetics and pharmacokinetics, and many others. Unfortunately these technologies have largely failed to significantly increase the efficiency of pharmaceutical research, as evidenced by the steady increase in research dollars required per new approved drug (currently estimated at nearly $2 billion). Given this paradigm, new drug discovery strategies are badly needed. In this dissertation, I describe the development and application of computational methods to drug repurposing, and evaluate the robustness of this strategy across a diverse set of human diseases. Section 1 reports the application of a range of computational techniques to drug discovery questions relevant to Alzheimer's disease (amyloid- ), pain related diseases (voltage-gated sodium channels), and cancer (matrix metalloproteinase 2). In Section 2, I describe the specific application of ligand-based computational screening to inform drug repurposing efforts against Alzheimer's disease, Chagas disease, and Dengue fever. Finally, in Section 3, the importance of data quality to computationally guided repurposing is discussed in relation to the creation of curated databases for drug repurposing (the SWEETLEAD database) and for P-glycoprotein modulators (for use in model building/evaluation).

Computational Methods for Drug Repurposing

Computational Methods for Drug Repurposing PDF Author: Quentin Vanhaelen
Publisher: Humana
ISBN: 9781493989546
Category : Medical
Languages : en
Pages : 0

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Book Description
This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction. Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.

Drug Repositioning

Drug Repositioning PDF Author: Michael J. Barratt
Publisher: John Wiley & Sons
ISBN: 1118274393
Category : Medical
Languages : en
Pages : 499

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Book Description
The how's and why's of successful drug repositioning Drug repositioning, also known as drug reprofiling or repurposing, has become an increasingly important part of the drug development process. This book examines the business, technical, scientific, and operational challenges and opportunities that drug repositioning offers. Readers will learn how to perform the latest experimental and computational methods that support drug repositioning, and detailed case studies throughout the book demonstrate how these methods fit within the context of a comprehensive drug repositioning strategy. Drug Repositioning is divided into three parts: Part 1, Drug Repositioning: Business Case, Strategies, and Operational Considerations, examines the medical and commercial drivers underpinning the quest to reposition existing drugs, guiding readers through the key strategic, technical, operational, and regulatory decisions needed for successful drug repositioning programs. Part 2, Application of Technology Platforms to Uncover New Indications and Repurpose Existing Drugs, sets forth computational-based strategies, tools, and databases that have been designed for repositioning studies, screening approaches, including combinations of existing drugs, and a look at the development of chemically modified analogs of approved agents. Part 3, Academic and Non-Profit Initiatives & the Role of Alliances in the Drug Repositioning Industry, explores current investigations for repositioning drugs to treat rare and neglected diseases, which are frequently overlooked by for-profit pharmaceutical companies due to their lack of commercial return. The book's appendix provides valuable resources for drug repositioning researchers, including information on drug repositioning and reformulation companies, databases, government resources and organizations, regulatory agencies, and drug repositioning initiatives from academia and non-profits. With this book as their guide, students and pharmaceutical researchers can learn how to use drug repositioning techniques to extend the lifespan and applications of existing drugs as well as maximize the return on investment in drug research and development.

Drug Repurposing and Computational Drug Discovery

Drug Repurposing and Computational Drug Discovery PDF Author: Mithun Rudrapal
Publisher:
ISBN: 9781003347705
Category :
Languages : en
Pages : 0

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Book Description


Drug Repurposing

Drug Repurposing PDF Author: Mithun Rudrapal
Publisher: BoD – Books on Demand
ISBN: 1837687765
Category : Medical
Languages : en
Pages : 225

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Book Description
Drug repurposing (or drug repositioning) is defined as the process of identifying new pharmacological indications of old, existing, investigational, or FDA-approved drugs for use in the treatment of diseases other than the drugs’ original intended therapeutic use. Drug Repurposing - Advances, Scopes and Opportunities in Drug Discovery delivers up-to-date information on the identification of newer uses, molecular mechanisms, and novel targets of existing drug candidates through the application of various experimental, biophysical, and computational approaches and techniques. Chapters discuss recent advances in drug repurposing strategies that are currently being used in the discovery and development of drugs against difficult-to-treat, rare, and life-threatening diseases, including microbial infections, COVID-19, parasitic diseases, cardiovascular diseases, neurological disorders, and cancer. The book also discusses the modern experimental assays (HTS) and computational techniques including informatics and databases, molecular docking and dynamics, artificial intelligence and machine learning, virtual screening and pharmacophore modeling, proteomics and metabolomics, and network pharmacology and systems biology approaches. Some of the key features of the book are: • Presents the strategies available for the development of drugs by drug repurposing approaches through various experimental and computational techniques for the treatment of difficult-to-treat, rare, and deadly diseases • Summarizes the latest advances in the application of drug repurposing strategies, techniques, and approaches in the discovery and development of drugs • Depicts drug development approaches from existing drug candidates and/or lead molecules through modern experimental assays, biophysical tools, and computational techniques Written by a global team of experts, this book is useful for drug discovery scientists, drug developers, medicinal chemists, phytochemists, pharmacologists, clinicians, biochemists, biomedical scientists, healthcare professionals, researchers, teaching faculty, and students.

Drug Repurposing

Drug Repurposing PDF Author: Farid A. Badria
Publisher: BoD – Books on Demand
ISBN: 1839685204
Category : Medical
Languages : en
Pages : 236

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Book Description
Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.

Drug Repurposing for Emerging Infectious Diseases and Cancer

Drug Repurposing for Emerging Infectious Diseases and Cancer PDF Author: Ranbir Chander Sobti
Publisher: Springer Nature
ISBN: 9811953996
Category : Medical
Languages : en
Pages : 664

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Book Description
​This book presents drug repurposing strategies to combat infectious diseases and cancer. It discusses key experimental and in silico approaches for modern drug repositioning, including signature matching, molecular docking, genome-wide associated studies, and network-based approaches aided by artificial intelligence. Further, the book presents various computational and experimental strategies for better understanding disease mechanisms and identify repurposed drug candidates for personalized pharmacotherapy. It also explores the databases for drug repositioning, summarizes the approaches taken for drug repositioning, and highlights and compares their characteristics and challenges. Towards the end, the book discusses challenges and limitations encountered in computational drug repositioning.

New Approach for Drug Repurposing Part A

New Approach for Drug Repurposing Part A PDF Author:
Publisher: Elsevier
ISBN: 0443223386
Category : Science
Languages : en
Pages : 406

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Book Description
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.

Drug Repurposing and Repositioning

Drug Repurposing and Repositioning PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309302072
Category : Medical
Languages : en
Pages : 95

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Book Description
Drug development can be time-consuming and expensive. Recent estimates suggest that, on average, it takes 10 years and at least $1 billion to bring a drug to market. Given the time and expense of developing drugs de novo, pharmaceutical companies have become increasingly interested in finding new uses for existing drugs - a process referred to as drug repurposing or repositioning. Historically, drug repurposing has been largely an unintentional, serendipitous process that took place when a drug was found to have an offtarget effect or a previously unrecognized on-target effect that could be used for identifying a new indication. Perhaps the most recognizable example of such a successful repositioning effort is sildenafil. Originally developed as an anti-hypertensive, sildenafil, marketed as Viagra and under other trade names, has been repurposed for the treatment of erectile dysfunction and pulmonary arterial hypertension. Viagra generated more than $2 billion worldwide in 2012 and has recently been studied for the treatment of heart failure. Given the widespread interest in drug repurposing, the Roundtable on Translating Genomic-Based Research for Health of the Institute of Medicine hosted a workshop on June 24, 2013, in Washington, DC, to assess the current landscape of drug repurposing activities in industry, academia, and government. Stakeholders, including government officials, pharmaceutical company representatives, academic researchers, regulators, funders, and patients, were invited to present their perspectives and to participate in workshop discussions. Drug Repurposing and Repositioning is the summary of that workshop. This report examines enabling tools and technology for drug repurposing; evaluates the business models and economic incentives for pursuing a repurposing approach; and discusses how genomic and genetic research could be positioned to better enable a drug repurposing paradigm.

Computational Drug Design

Computational Drug Design PDF Author: D. C. Young
Publisher: John Wiley & Sons
ISBN: 9780470451847
Category : Science
Languages : en
Pages : 344

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Book Description
Helps you choose the right computational tools and techniques to meet your drug design goals Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes. Following an introduction, the book is divided into three parts: Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals. Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques. Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches. The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.