Drug repurposing and polypharmacology: A synergistic approach in multi-target based drug discovery
| Author | : Mithun Rudrapal |
| Publisher | : Frontiers Media SA |
| Total Pages | : 170 |
| Release | : 2023-01-30 |
| Genre | : Science |
| ISBN | : 2832512623 |
Drug Repurposing And Polypharmacology A Synergistic Approach In Multi Target Based Drug Discovery
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Drug Selectivity
| Author | : Norbert Handler |
| Publisher | : John Wiley & Sons |
| Total Pages | : 538 |
| Release | : 2018-02-27 |
| Genre | : Medical |
| ISBN | : 3527335382 |
The book "Drug Selectivity - An Evolving Concept in Medicinal Chemistry" provides a current overview and comprehensive compilation for medicinal chemists that discusses the effects of aiming for multiple targets on the entire drug development process. The result is a broad survey of current and future strategies for drug selectivity in medicinal chemistry with theoretical but also practical aspects. Different strategies are presented and evaluated, such as various design approaches, merged multiple ligands, discovery technologies and a broad range of successful examples of unselective drugs taken from all major disease areas. With its wide-ranging view of an emerging new paradigm in drug development, this handbook is of prime importance for every medicinal and pharmaceutical chemist.
Polypharmacology in Drug Discovery
| Author | : Jens-Uwe Peters |
| Publisher | : John Wiley & Sons |
| Total Pages | : 542 |
| Release | : 2012-03-13 |
| Genre | : Medical |
| ISBN | : 0470590904 |
An essential outline of the main facets of polypharmacology in drug discovery research Extending drug discovery opportunities beyond the "one drug, one target" philosophy, a polypharmacological approach to the treatment of complex diseases is emerging as a hot topic in both industry and academic research. Polypharmacology in Drug Discovery presents an overview of the various facets of polypharmacology and how it can be applied as an innovative concept for developing medicines for treating bacterial infections, epilepsy, cancer, psychiatric disorders, and more. Filled with a collection of instructive case studies that reinforce the material and illuminate the subject, this practical guide: Covers the two-sided nature of polypharmacology—its contribution to adverse drug reactions and its benefit in certain therapeutic drug classes Addresses the important topic of polypharmacology in drug discovery, a subject that has not been thoroughly covered outside of scattered journal articles Overviews state-of-the-art approaches and developments to help readers understand concepts and issues related to polypharmacology Fosters interdisciplinary drug discovery research by embracing computational, synthetic, in vitro and in vivo pharmacological and clinical aspects of polypharmacology A clear road map for helping readers successfully navigate around the problems involved with promiscuous ligands and targets, Polypharmacology in Drug Discovery provides real examples, in-depth explanations and discussions, and detailed reviews and opinions to spark inspiration for new drug discovery projects.
Drug Repurposing
| Author | : Farid A. Badria |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 236 |
| Release | : 2020-12-02 |
| Genre | : Medical |
| ISBN | : 1839685204 |
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 in Cancer Therapy
| Author | : Kenneth K.W. To |
| Publisher | : Academic Press |
| Total Pages | : 460 |
| Release | : 2020-07-29 |
| Genre | : Science |
| ISBN | : 0128199032 |
Drug Repurposing in Cancer Therapy: Approaches and Applications provides comprehensive and updated information from experts in basic science research and clinical practice on how existing drugs can be repurposed for cancer treatment. The book summarizes successful stories that may assist researchers in the field to better design their studies for new repurposing projects. Sections discuss specific topics such as in silico prediction and high throughput screening of repurposed drugs, drug repurposing for overcoming chemoresistance and eradicating cancer stem cells, and clinical investigation on combination of repurposed drug and anticancer therapy. Cancer researchers, oncologists, pharmacologists and several members of biomedical field who are interested in learning more about the use of existing drugs for different purposes in cancer therapy will find this to be a valuable resource. - Presents a systematic and up-to-date collection of the research underpinning the various drug repurposing approaches for a quick, but in-depth understanding on current trends in drug repurposing research - Brings better understanding of the drug repurposing process in a holistic way, combining both basic and clinical sciences - Encompasses a collection of successful stories of drug repurposing for cancer therapy in different cancer types
Biochemical and Molecular Pharmacology in Drug Discovery
| Author | : Mithun Rudrapal |
| Publisher | : Elsevier |
| Total Pages | : 582 |
| Release | : 2024-06-26 |
| Genre | : Medical |
| ISBN | : 0443160147 |
Biochemical and Molecular Pharmacology in Drug Discovery comprises fundamental biochemical and molecular aspects of drug discovery and basic understanding of modern drug discovery approaches along with certain key topics related to molecular pharmacology of drugs and therapeutics. Molecular pharmacology has gained significant momentum among researchers, scientists, and academicians because of its increasing interest in drug discovery research across the globe. Molecular pharmacology involves a fundamental understanding of drug actions at the molecular level with the help of several tools and techniques of biochemical and molecular biology. It explains the phenomena of drug-target interactions considering different biochemical systems and cellular strategies. With the advent of technologies, current advances and research trends move toward molecular and/or target-based drug design and discovery. Through this book, readers will be able to gain skills and knowledge with a thorough understanding of the subject of biochemical and molecular pharmacology, in a comprehensive and systematic manner with special reference to recent advances in drug discovery research. - Highlights the fundamentals of biochemical and molecular aspects, with reference to drug discovery research - Depicts modern drug discovery approaches such as reverse pharmacology, drug repositioning, and CADD in the context of current research updates - Summarizes recent developments in the molecular pharmacology of novel drugs/ therapeutic molecules
Network Pharmacology
| Author | : Shao Li |
| Publisher | : Springer Nature |
| Total Pages | : 480 |
| Release | : 2021-09-29 |
| Genre | : Medical |
| ISBN | : 9811607532 |
This book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used. In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied. This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.
Approaching Complex Diseases
| Author | : Mariano Bizzarri |
| Publisher | : Springer Nature |
| Total Pages | : 493 |
| Release | : 2020-04-17 |
| Genre | : Medical |
| ISBN | : 3030328570 |
This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.
Homology Modeling
| Author | : Andrew J. W. Orry |
| Publisher | : Humana Press |
| Total Pages | : 419 |
| Release | : 2012-02-10 |
| Genre | : Science |
| ISBN | : 9781617795879 |
Knowledge about protein tertiary structure can guide experiments, assist in the understanding of structure-function relationships, and aid the design of new therapeutics for disease. Homology modeling is an in silico method that predicts the tertiary structure of an amino acid sequence based on a homologous experimentally determined structure. In, Homology Modelling: Methods and Protocols experts in the field describe each homology modeling step from first principles, provide case studies for challenging modeling targets and describe methods for the prediction of how other molecules such as drugs can interact with the protein. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Homology Modelling: Methods and Protocols guides scientists in the available homology modeling methods.
Artificial Intelligence in Drug Discovery
| Author | : Nathan Brown |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 425 |
| Release | : 2020-11-04 |
| Genre | : Computers |
| ISBN | : 1839160543 |
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
