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1. G protein-coupled receptors in the human genome -- 2. Why G protein-coupled receptors databases are needed -- 3. A novel drug screening assay for G protein-coupled receptors -- 4. Importance of GPCR dimerization for function : the case of the class C GPCRs -- 5. Molecular mechanisms of GPCR activation -- 6. Allosteric properties and regulation of G protein-coupled receptors -- 7. Chemogenomics approaches to ligand design -- 8. Strategies for the design of pGPCR-targeted libraries -- 9. Ligand-based rational design : virtual screening -- 10. 3-D structure of G protein-coupled receptors --11. 7TM models in structure-based drug design -- 12. Receptor-based rational design : virtual screening.
Employing a wide range of examples from G-protein-coupled receptors and ligand-gated ion channels, this detailed, single-source reference illustrates the principles of pharmacological analysis and receptor classification that are the basis of rational drug design. Explains the experimental and theoretical methods used to characterize interactions between ligands and receptors-providing the pharmacological information needed to solve treatment problems and facilitate the drug design process! Demonstrating the achievements of the receptor-based approach in therapeutics and indicating future directions, Receptor-Based Drug Design introduces novel computer-assisted strategies for the design of new agonists, antagonists, and inverse agonists for G-protein-coupled receptors shows how to assess agonist concentration-effect curve data discusses radioligand binding assays presents new in vitro multiarray assays for G-protein-coupled receptors explains the use of individual second messenger signaling responses in analyzing drug-receptor interactions examines the role of electrophysiology in finding new drugs and drug targets describes selectively acting b-adrenoceptor agonists and glucocorticoid steroids for asthma treatment outlines the rationale for using angiotensin receptor antagonists and more! Written by over 25 international authorities and containing nearly 1200 bibliographic citations, Receptor-Based Drug Design is a practical resource for pharmacologists, pharmacists, and pharmaceutical scientists; organic and medicinal chemists and biochemists; molecular biologists; biomedical researchers; and upper-level undergraduate and graduate students in these disciplines.
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples, academic and industry insights, novel concepts, and advances in a rapidly evolving field. The combined chapters, by authors writing from the frontlines of structural biology and drug discovery, give readers a valuable reference and resource that: Presents the benefits, limitations, and potentiality of major techniques in the field such as X-ray crystallography, NMR, neutron crystallography, cryo-EM, mass spectrometry and other biophysical techniques, and computational structural biology Includes detailed chapters on druggability, allostery, complementary use of thermodynamic and kinetic information, and powerful approaches such as structural chemogenomics and fragment-based drug design Emphasizes the need for the in-depth biophysical characterization of protein targets as well as of therapeutic proteins, and for a thorough quality assessment of experimental structures Illustrates advances in the field of established therapeutic targets like kinases, serine proteinases, GPCRs, and epigenetic proteins, and of more challenging ones like protein-protein interactions and intrinsically disordered proteins
This volume looks at modern computational strategies and techniques used in GPCR drug discovery including structure and ligand-based approaches and cheminformatics. The chapters in this book describe how these approaches can be applied to address key drug discovery issues, such as receptor structure modelling, function and dynamics, prediction of protein-water-ligand interactions and binding kinetics, free energy of binding, interconversion between agonists and antagonists, deorphanization of GPCRs, and the discovery of biased and allosteric modulators. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modelling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique,Computational Methods for GPCR Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.
Burger’s Medicinal Chemistry, Drug Discovery and Development Explore the freshly updated flagship reference for medicinal chemists and pharmaceutical professionals The newly revised eighth edition of the eight-volume Burger’s Medicinal Chemistry, Drug Discovery and Development is the latest installment in this celebrated series covering the entirety of the drug development and discovery process. With the addition of expert editors in each subject area, this eight-volume set adds 35 chapters to the extensive existing chapters. New additions include analyses of opioid addiction treatments, antibody and gene therapy for cancer, blood-brain barrier, HIV treatments, and industrial-academic collaboration structures. Along with the incorporation of practical material on drug hunting, the set features sections on drug discovery, drug development, cardiovascular diseases, metabolic diseases, immunology, cancer, anti-Infectives, and CNS disorders. The text continues the legacy of previous volumes in the series by providing recognized, renowned, authoritative, and comprehensive information in the area of drug discovery and development while adding cutting-edge new material on issues like the use of artificial intelligence in medicinal chemistry. Included: Volume 1: Methods in Drug Discovery, edited by Kent D. Stewart Volume 2: Discovering Lead Molecules, edited by Kent D. Stewart Volume 3: Drug Development, edited by Ramnarayan S. Randad and Michael Myers Volume 4: Cardiovascular, Endocrine, and Metabolic Diseases, edited by Scott D. Edmondson Volume 5: Pulmonary, Bone, Immunology, Vitamins, and Autocoid Therapeutic Agents, edited by Bryan H. Norman Volume 6: Cancer, edited by Barry Gold and Donna M. Huryn Volume 7: Anti-Infectives, edited by Roland E. Dolle Volume 8: CNS Disorders, edited by Richard A. Glennon Perfect for research departments in the pharmaceutical and biotechnology industries, Burger’s Medicinal Chemistry, Drug Discovery and Development can be used by graduate students seeking a one-stop reference for drug development and discovery and deserves its place in the libraries of biomedical research institutes, medical, pharmaceutical, and veterinary schools.
For the past four decades, University College London has offered a renowned course on receptor pharmacology. Originating from this course, the perennially bestselling Textbook of Receptor Pharmacology has presented in-depth coverage of this rapidly expanding area of research. This third edition continues to combine current understanding of classica
Introducing the most recent advances in crystallography, nuclear magnetic resonance, molecular modeling techniques, and computational combinatorial chemistry, this unique, interdisciplinary reference explains the application of three-dimensional structural information in the design of pharmaceutical drugs. Furnishing authoritative analyses by world-renowned experts, Structure-Based Drug Design discusses protein structure-based design in optimizing HIV protease inhibitors and details the biochemical, genetic, and clinical data on HIV-1 reverse transcriptase presents recent results on the high-resolution three-dimensional structure of the catalytic core domain of HIV-1 integrase as a foundation for divergent combination therapy focuses on structure-based design strategies for uncovering receptor antagonists to treat inflammatory diseases demonstrates a systematic approach to the design of inhibitory compounds in cancer treatment reviews current knowledge on the Interleukin-1 (IL-1) system and progress in the development of IL-1 modulators describes the influence of structure-based methods in designing capsid-binding inhibitors for relief of the common cold and much more!
Frontiers in Cardiovascular Drug Discovery is an eBook series devoted to publishing the latest advances in cardiovascular drug design and discovery. Each volume brings reviews on the biochemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, recent important patents, and structure-activity relationships of molecules used in cardiovascular therapy. The eBook series should prove to be of great interest to all medicinal chemists and pharmaceutical scientists involved in preclinical and clinical research in cardiology. The fourth volume of the series covers the following topics: -Aspirin administration -Adenosine receptor targeting for cardiovascular therapy -Drug treatment of patients with coronary stenting -Immunosuppressive drugs in heart transplantation -PCSK9 inhibition for lowering LDL-C levels.