Genome Editing In Drug Discovery

GENOME EDITING IN DRUG DISCOVERY A practical guide for researchers and professionals applying genome editing techniques to drug discovery In Genome Editing in Drug Discovery, a team of distinguished biologists delivers a comprehensive exploration of genome editing in the drug discovery process, with coverage of the technology’s history, current issues and techniques, and future perspectives and research directions. The book discusses techniques for disease modeling, target identification with CRISPR, safety studies, therapeutic editing, and intellectual property issues. The safety and efficacy of drugs and new target discovery, as well as next-generation therapeutics are also presented. Offering practical suggestions for practitioners and academicians involved in drug discovery, Genome Editing in Drug Discovery is a fulsome treatment of a technology that has become part of nearly every early step in the drug discovery pipeline. Selected contributions also include: A thorough introduction to the applications of CRISPRi and CRISPRa in drug discovery Comprehensive explorations of genome-editing applications in stem cell engineering and regenerative medicine Practical discussions of the safety aspects of genome editing with respect to immunogenicity and the specificity of CRISPR-Cas9 gene editing In-depth examinations of critical socio-economic and bioethical challenges in the CRISPR-Cas9 patent landscape Perfect for academic researchers and professionals in the biotech and pharmaceutical industries, Genome Editing in Drug Discovery will also earn a place in the libraries of medicinal chemists, biochemists, and molecular biologists.

Early characterization of toxicity and efficacy would significantly impact the overall productivity of pharmaceutical R&D and reduce drug candidate attrition and failure. By describing the available platforms and weighing their relative advantages and disadvantages, including microarray data analysis, Genomics in Drug Discovery and Development introduces readers to the biomarker, pharmacogenomic, and toxicogenomics toolbox. The authors provide a valuable resource for pharmaceutical discovery scientists, preclinical drug safety department personnel, regulatory personnel, discovery toxicologists, and safety scientists, drug development professionals, and pharmaceutical scientists.

The number of new drug approvals has remained reasonably steady for the past 50 years at around 20 to 30 per year, while at the same time the total spending on health-related research and development has tripled since 1990. There are many suspected causes for this trend, including increases in regulatory barriers, the rising costs of scientific inquiry, a decrease in research and development efficiency, the downstream effects of patient expirations on investment, and the lack of production models that have successfully incorporated new technology. Regardless, this trajectory is not economically sustainable for the businesses involved, and, in response, many companies are turning toward collaborative models of drug development, whether with other industrial firms, academia, or government. Introducing greater efficiency and knowledge into these new models and aligning incentives among participants may help to reverse the trends highlighted above, while producing more effective drugs in the process. Genome-Based Therapeutics explains that new technologies have the potential to open up avenues of development and to identify new drug targets to pursue. Specifically, improved validation of gene-disease associations through genomics research has the potential to revolutionize drug production and lower development costs. Genetic information has helped developers by increasing their understanding of the mechanisms of disease as well as individual patients' reactions to their medications. There is a need to identify the success factors for the various models that are being developed, whether they are industry-led, academia-led, or collaborations between the two. Genome-Based Therapeutics summarizes a workshop that was held on March 21, 2012, titled New Paradigms in Drug Discovery: How Genomic Data Are Being Used to Revolutionize the Drug Discovery and Development Process. At this workshop the goal was to examine the general approaches being used to apply successes achieved so far, and the challenges ahead.

The process of discovering and developing a new drug or therapy is extremely costly and time consuming, and recently, it has been estimated that the creation of a new medicine costs on average more than $2 billion and takes 10 years to reach patients. The challenges associated with bringing new medicines to market have led many pharmaceutical companies to seek out innovative methods for streamlining their drug discovery research. One way to increase the odds of success for compounds in the drug development pipeline is to adopt genetically guided strategies for drug discovery, and recognizing the potential benefits of collecting genetic and phenotypic information across specific populations, pharmaceutical companies have started collaborating with healthcare systems and private companies that have curated genetic bioresources, or large databases of genomic information. Large-scale cohort studies offer an effective way to collect and store information that can be used to assess geneâ€"environment interactions, identify new potential drug targets, understand the role of certain genetic variants in the drug response, and further elucidate the underlying mechanisms of disease onset and progression. To examine how genetic bioresources could be used to improve drug discovery and target validation, the National Academies of Sciences, Engineering, and Medicine hosted a workshop in March 2016. Participants at the workshop explored the current landscape of genomics-enabled drug discovery activities in industry, academia, and government; examined enabling partnerships and business models; and considered gaps and best practices for collecting population data for the purpose of improving the drug discovery process. This publication summarizes the presentations and discussions from the workshop.

"A lot of hard-won knowledge is laid out here in a brief but informative way. Every topic is well referenced, with citations from both the primary literature and relevant resources from the internet." Review of first edition from Nature Chemical Biology Written by the founders of the SPARK program at Stanford University, this book is a practical guide designed for professors, students and clinicians at academic research institutions who are interested in learning more about the drug development process and how to start transforming their basic research discoveries into novel drugs. Often many potentially transformative basic science discoveries are not pursued because they are deemed ‘too early’ to attract industry interest. This comprehensive book lays out simple, relatively cost-effective things that academic researchers can do to advance their findings to the point that they can be tested in the clinic or attract more industry interest. Each chapter broadly discusses an important topic in drug development, from discovery, optimization and preclinical studies through clinical trial design, regulatory issues and marketing assessments. After the practical overview provided here, the reader is encouraged to consult more detailed texts on specific topics of interest. The SPARK model has been adopted in over 60 institutions on six continents, and the program has been honored with multiple awards including the 2020 Xconomy Award for Ecosystem Development, the 2020 Cures Within Reach Award for Patient Impact Research, and the 2022 California Life Sciences Pantheon Award for Academia, Non-Profits, & Research. The new edition updates every chapter with the latest developments since the 2014 publication of the first edition.

Those involved in the drug development process face challenges of efficiency and overall sustainability due in part to high research costs, lengthy development timelines, and late-stage drug failures. Novel clinical trial designs that enroll participants based on their genetics represent a potentially disruptive change that could improve patient outcomes, reduce costs associated with drug development, and further realize the goals of precision medicine. On March 8, 2017, the Forum on Drug Discovery, Development, and Translation and the Roundtable on Genomics and Precision Health of the National Academies of Sciences, Engineering, and Medicine hosted the workshop Enabling Precision Medicine: The Role of Genetics in Clinical Drug Development. Participants examined successes, challenges, and possible best practices for effectively using genetic information in the design and implementation of clinical trials to support the development of precision medicines, including exploring the potential advantages and disadvantages of such trials across a variety of disease areas. This publication summarizes the presentations and discussions from the workshop.

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

Platform Technologies in Drug Discovery and Validation, Volume 50, the latest release in the Annual Reports in Medicinal Chemistry series, provides timely and critical reviews of important topics in medicinal chemistry, with an emphasis on emerging topics in the biological sciences. Topics covered in this new volume include DELT, Oligos: ASO, siRNA, CRISPR, Micro-fluidic chemistry, High throughput screening, Kinase-centric computational drug development, Virtual Screening, Phenotypic screening, PROTACS, Chemical Biology, Fragment-based lead generation, Antibody-Drug Conjugates, Antibody-recruiting small molecules, Deuteration, and Peptides. Unique for its treatment of platform technologies for medicinal chemistry and target validation Provides a single, rich volume that summaries a broad spectrum of expertise relevant to the field Presents state-of-the-art summaries of platform technologies