Download or read book G Protein Coupled Receptors Modeling and Simulation written by Marta Filizola and published by Springer Science & Business Media. This book was released on 2013-10-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses. Since GPCRs are natural targets for approximately 40% of all modern medicines, it is not surprising that they have been the subject of intense research. Notwithstanding the amount of data generated over the years, discovering ligands of these receptors with optimal therapeutic properties is not straightforward and has certainly been hampered for years by the lack of high-resolution structural information about these receptors. Luckily, there has been a steady increase of high-resolution crystal structures of these receptors since 2007, and this information, integrated with dynamic inferences from computational and experimental methods, holds great potential for the discovery of new, improved drugs. This book, which provides, for the first time, state-of-the-art views on modeling and simulation of GPCRs, is divided into 4 parts. In the first part, the impact of currently available GPCR crystal structures on structural modeling is discussed extensively as are critical insights from simulations in the second part of the book. The third part reports recent progress in rational ligand discovery and mathematical modeling, whereas the fourth part provides an overview of bioinformatics tools and resources that are available for GPCRs.
Download or read book Modelling of GPCRs written by Andrea Strasser and published by Springer Science & Business Media. This book was released on 2012-08-13 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein coupled receptors (GPCRs) comprise an important protein family, which is involved in signal transduction in the cell. Besides that a large number of drugs, available on market, address GPCRs. For an efficient and improved development of appropriate drugs, molecular modelling of GPCRs is – in order to understand the ligand-receptor interactions and functionality of GPCRs on molecular level - an important tool. The book “Modelling of GPCRs – a practical handbook” is focussed onto a practical introduction into molecular modelling of GPCRs. This book is very useful for beginners in GPCR modelling, but also addresses the advanced GPCR modeller: On the one hand, the book introduces principles of GPCR modelling, including extensive examples. On the other hand, detailed outlooks onto advanced GPCR modelling techniques are presented. Furthermore, the book includes important data, like information about crystal structures in a summarized manner or amino acid sequences, which are essential for GPCR modelling in general. Due to an increase in efficacy and data handling most modellers use LINUX as operating system. To address this, a summary of most important LINUX commands with examples is presented within the book.
Download or read book G Protein Coupled Receptors written by and published by Academic Press. This book was released on 2013-01-28 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers G protein coupled receptors, and includes chapters on such topics as GPCR modelling, interactions with other molecules, virtual screening and GPCR activation. Continues the legacy of this premier serial with quality chapters authored by leaders in the field Covers G protein coupled receptors Contains chapters on such topics as GPCR modelling, interactions with other molecules, virtual screening and GPCR activation
Download or read book G Protein Coupled Receptors written by Jesus Giraldo and published by Royal Society of Chemistry. This book was released on 2011-08-16 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein-coupled receptors (GPCRs) are the largest family of cell-surface receptors, with more than 800 members identified thus far in the human genome. They regulate the function of most cells in the body, and represent approximately 3% of the genes in the human genome. These receptors respond to a wide variety of structurally diverse ligands, ranging from small molecules, such as biogenic amines, nucleotides and ions, to lipids, peptides, proteins, and even light. Ligands (agonists and antagonists) acting on GPCRs are important in the treatment of numerous diseases, including cardiovascular and mental disorders, retinal degeneration, cancer, and AIDS. It is estimated that these receptors represent about one third of the actual identified targets of clinically used drugs. The determination of rhodopsin crystal structure and, more recently, of opsin, 1 and 2 adrenergic and A2A adenosine receptors provides both academia and industry with extremely valuable data for a better understanding of the molecular determinants of receptor function and a more reliable rationale for drug design. GPCR structure and function constitutes a hot topic. The book, which lies between the fields of chemical biology, molecular pharmacology and medicinal chemistry, is divided into three parts. The first part considers what receptor structures tell us about the mechanism of receptor activation. Part II focuses on receptor function. It discusses what the data from biophysical and mutational studies, and the analysis of the interactions of the receptor with ligands and regulator proteins, tell us about the process of signal transduction. The final part, on modelling and simulation, details new insights on the link between structure and mechanism and their implications in drug design.
Download or read book Ligand Design for G Protein coupled Receptors written by Didier Rognan and published by John Wiley & Sons. This book was released on 2006-08-21 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein-coupled receptors (GPCRs) are one of the most important target classes in pharmacology and are the target of many blockbuster drugs. Yet only with the recent elucidation of the rhodopsin structure have these receptors become amenable to a rational drug design. Based on recent examples from academia and the pharmaceutical industry, this book demonstrates how to apply the whole range of bioinformatics, chemoinformatics and molecular modeling tools to the rational design of novel drugs targeting GPCRs. Essential reading for medicinal chemists and drug designers working with this largest class of drug targets in the human genome.
Download or read book G Protein Coupled Receptors Part A written by and published by Elsevier. This book was released on 2022-11-08 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: G Protein-Coupled Receptors, Part A, Volume 193 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field. G protein-coupled receptors (GPCRs) represent the largest class of cell surface proteins with an intricate involvement of nearly every physiological process in our body. Approximately, one third of the clinically prescribed medicines target GPCRs and the quest to improve the exiting GPCR-targeting therapeutics continues. These two volumes are focused on activation, signaling and regulation of GPCRs with specific examples of receptor systems and cellular processes. Covers a broad range of topics related to GPCR activation and signaling Covers several receptor systems with an emphasis on emerging paradigms Covers different processes and model systems with a focus on GPCRs
Download or read book Computational Methods for GPCR Drug Discovery written by Alexander Heifetz and published by Humana Press. This book was released on 2017-11-30 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Biomolecular Simulations in Structure Based Drug Discovery written by Francesco L. Gervasio and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.
Download or read book An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation written by Gregory R. Bowman and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.
Download or read book Structure Based Drug Design written by Pandi Veerapandian and published by Routledge. This book was released on 2018-03-29 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!
Download or read book Molecular Modeling in Drug Design written by Rebecca Wade and published by MDPI. This book was released on 2019-03-26 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first attempts at structure-based drug design about four decades ago, molecular modelling techniques for drug design have developed enormously, along with the increasing computational power and structural and biological information of active compounds and potential target molecules. Nowadays, molecular modeling can be considered to be an integral component of the modern drug discovery and development toolbox. Nevertheless, there are still many methodological challenges to be overcome in the application of molecular modeling approaches to drug discovery. The eight original research and five review articles collected in this book provide a snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges. The topics covered include virtual screening and pharmacophore modelling, chemoinformatic applications of artificial intelligence and machine learning, molecular dynamics simulation and enhanced sampling to investigate contributions of molecular flexibility to drug–receptor interactions, the modeling of drug–receptor solvation, hydrogen bonding and polarization, and drug design against protein–protein interfaces and membrane protein receptors.
Download or read book Computational Biophysics of Membrane Proteins written by Carmen Domene and published by Royal Society of Chemistry. This book was released on 2016-11-30 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring current themes in modern computational and membrane protein biophysics, this book presents a comprehensive account of the fundamental principles underlying different methods and techniques used to describe the intriguing mechanisms by which membrane proteins function. The book discusses the experimental approaches employed to study these proteins, with chapters reviewing recent crucial structural advances that have allowed computational biophysicists to discern how these molecular machines work. The book then explores what computational methods are available to researchers and what these have taught us about three key families of membrane proteins: ion channels, transporters and receptors. The book is ideal for researchers in computational chemistry and computational biophysics.
Download or read book Molecular Modeling of Proteins written by Andreas Kukol and published by Humana Press. This book was released on 2017-04-30 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular Modeling of Proteins, Second Edition provides a theoretical background of various methods available and enables non-specialists to apply methods to their problems by including updated chapters and new material not covered in the first edition. This detailed volume opens by featuring classical and advanced simulation methods as well as methods to set-up complex systems such as lipid membranes and membrane proteins and continues with chapters devoted to the simulation and analysis of conformational changes of proteins, computational methods for protein structure prediction, usage of experimental data in combination with computational techniques, as well as protein-ligand interactions, which are relevant in the drug design process. Written for the highly successful Methods in Molecular Biology series, chapters include thorough introductions, step-by-step instructions and notes on troubleshooting and avoiding common pitfalls. Update-to-date and authoritative, Molecular Modeling of Proteins, Second Edition aims to aid researchers in the physical, chemical and biosciences interested in utilizing this powerful technology.
Download or read book Kinetics of Receptor Ligand and G protein Interaction for Signal Transduction written by Lonnie D. Shea and published by . This book was released on 1997 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book G Protein Coupled Receptors written by and published by Academic Press. This book was released on 2016-02-26 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: G-Protein-Coupled Receptors: Signaling, Trafficking, and Regulation, a new volume in the Methods in Cell Biology series continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers research methods in G-Protein-Coupled Receptors, and includes sections on such topics signaling, trafficking and regulation. Covers the increasingly appreciated cell biology field of G-protein-coupled receptors Includes both established and new technologies Contributed by experts in the field Covers topics such as signaling, trafficking, and regulation
Download or read book Receptor Molecular Biology written by and published by Elsevier. This book was released on 1995-03-22 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volumes in this series include contemporary techniques significant to a particular branch of neuroscience. They are an invaluable aid to the student as well as the experienced researcher not only in developing protocols in neuroscience but in disciplines where research is becoming closely related to neuroscience. Each volume of Methods in Neurosciences contains an index, and each chapter includes references. Dr. Conn became Editor-in-Chief of the series beginning with Volume 15, so each subsequent volume could be guest-edited by an expert in that specific field. This further strengthens the depth of coverage in Methods in Neurosciences for students and researchers alike. Cloning Expression systems Signal transduction Structure-function techniques Antireceptor antibodies Regulation 3-D receptor modeling and computational probing
Download or read book Biomolecular Simulations in Structure Based Drug Discovery written by Francesco L. Gervasio and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.
