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Computational Methods For Gpcr Drug Discovery
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Book Synopsis Computational Methods for GPCR Drug Discovery by : Alexander Heifetz
Download or read book Computational Methods for GPCR Drug Discovery written by Alexander Heifetz and published by . This book was released on 2018 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Methods for GPCR Drug Discovery by : Alexander Heifetz
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.
Book Synopsis Physico-chemical and Computational Approaches to Drug Discovery by : Javier Luque
Download or read book Physico-chemical and Computational Approaches to Drug Discovery written by Javier Luque and published by Royal Society of Chemistry. This book was released on 2012 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title covers a wide range of topics relevant to the development of drugs. It provides a comprehensive description of the major methodological strategies available for rational drug discovery.
Book Synopsis Computational and Structural Approaches to Drug Discovery by : Robert M. Stroud
Download or read book Computational and Structural Approaches to Drug Discovery written by Robert M. Stroud and published by Royal Society of Chemistry. This book was released on 2008 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This insightful book represents the experience and understanding of the global experts in the field and spotlights both the structural and medicinal chemistry aspects of drug design. The need to 'encode' the physiological factors of pharmacology, a key area, is explored.
Book Synopsis Computational Drug Discovery by : Vasanthanathan Poongavanam
Download or read book Computational Drug Discovery written by Vasanthanathan Poongavanam and published by John Wiley & Sons. This book was released on 2024-01-19 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in computational drug discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in computational drug discovery and serve as a valuable resource for professionals engaged in drug discovery.
Book Synopsis Computational Approaches in Drug Discovery and Precision Medicine by : Zunnan Huang
Download or read book Computational Approaches in Drug Discovery and Precision Medicine written by Zunnan Huang and published by Frontiers Media SA. This book was released on 2021-03-15 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Approaches to Nuclear Receptors by : Pietro Cozzini
Download or read book Computational Approaches to Nuclear Receptors written by Pietro Cozzini and published by Royal Society of Chemistry. This book was released on 2012 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear receptors (NR) are ligand-induced activated transcription factors that are involved in numerous biological processes. Since the 1990's when the first structures were determined by means of X ray diffraction, the number of NR structures has increased considerably. Moreover several "omics" projects (genomics, pharmcogenomics and proteomics) have opened up great opportunities for the discovery of new targets, the characterization of abnormal protein patterns, the selection of "tailored" drugs and the evaluation of drug efficacy even with a lack of structural data. Furthermore, structure-based drug design, computational methods for in silico screening and nanobiotechnology- based tools are simplifying this time-consuming and money-intensive research of lead compounds and, possibly, new drugs. Biological interactions such as those that occur between a protein and ligand are concerted events where flexible molecules interact. Thus understanding flexibility of large molecules or biological complexes is of primary importance to help define the right model to approximate the reality for drug discovery, virtual screening, food safety analysis, etc. NRs are known as flexible targets, with many structural similarities, in particular for their Ligand Binding Domain: these similarities could be assumed to share behavioural qualities that belong to this class of compounds. Thus to supply a possible, complete and exhaustive answer to questions about the behaviour of NRs, their interactions with new potential drugs, endocrine disruptors such as animal and human food toxins, food additives or industry residuals, it is mandatory to approach the problem from a different point of view: a molecular modelling approach, steered synthesis, and in vitro and in vivo tests, etc. The aim of this book is to provide a state of the art review on investigations into Nuclear Receptors.
Book Synopsis Structural Biology in Drug Discovery by : Jean-Paul Renaud
Download or read book Structural Biology in Drug Discovery written by Jean-Paul Renaud and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 1367 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Computational Drug Discovery and Design by : Mohini Gore
Download or read book Computational Drug Discovery and Design written by Mohini Gore and published by Springer Nature. This book was released on 2023-10-09 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition provides new and updated methods and techniques for identification of drug target, binding sites prediction, high- throughput virtual screening, lead discovery and optimization, conformational sampling, prediction of pharmacokinetic properties using computer-based methodologies. Chapters also focus on the application of the latest artificial intelligence technologies for computer aided drug discovery. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Drug Discovery and Design, Second Edition aims to effectively utilize computational methodologies in discovery and design of novel drugs.
Book Synopsis Computational Methods in Drug Design by :
Download or read book Computational Methods in Drug Design written by and published by . This book was released on 1993 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis DEVELOPMENT OF NOVEL COMPUTATIONAL METHODS FOR DRUG DISCOVERY AND REPURPOSING IN ONCOLOGIC DISEASES AND OTHER ILLNESSES by : Naiem Tony Issa
Download or read book DEVELOPMENT OF NOVEL COMPUTATIONAL METHODS FOR DRUG DISCOVERY AND REPURPOSING IN ONCOLOGIC DISEASES AND OTHER ILLNESSES written by Naiem Tony Issa and published by . This book was released on 2015 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeting disease-related proteins is important for drug discovery, yet target-based method have not been fruitful. Bottlenecks involve: (1) establishing biologically valid drug- protein target associations, and (2) assessing the physiologic effects of those interactions at the systems level. Here we develop novel computational methods for overcoming these challenges. For the accurate prediction of drug-target interactions, we investigate the ability of two independent proteochemometric methods entitled R-TMFS and ES-Screen to prioritize known drug binders over decoys for diverse sets of protein targets. R-TMFS is a docking-based method that incorporates molecule shape and physicochemical properties, whereas ES-Screen is an electrostatics-driven method that accentuates the role of electrostatics in biomolecular recognition and binding kinetics. R-TMFS and ES-Screen are also used to predict previously un-reported kinase targets for the anti-hookworm medication mebendazole. Follow-up in vitro binding assays confirm mebendazole inhibition of multiple kinases such as ABL1, JAK2, JNK3, and RAF1, attesting to the repurposing potential of mebendazole for various cancers. For higher-order physiologic contextualization of drug-target signatures, we devised a computational platform named NET-TMFS that annotates drugs with biological endpoint effects including protein-protein interactions, signaling pathways, molecular functions, and disease effects. NET-TMFS recapitulated over 50 drug-disease, 100 drug-pathway, and drug-PPI associations established in the literature. NET-TMFS also predicted potential carcinogenic effects of the cholesterol-lowering drug ezetimibe, a phenomenon documented in clinical trials. In summary, we have developed novel computational methods for addressing major bottlenecks in the drug discovery process. We hope our methods will aid in finding effective therapeutics for many diseases with greater efficiency and lower costs.
Book Synopsis Computational Drug Discovery, 2 Volumes by : Vasanthanathan Poongavanam
Download or read book Computational Drug Discovery, 2 Volumes written by Vasanthanathan Poongavanam and published by Wiley-VCH. This book was released on 2024-01-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
Download or read book Computational Drug Discovery written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Approaches in Drug Discovery, Development and Systems Pharmacology by : Rupesh Kumar Gautam
Download or read book Computational Approaches in Drug Discovery, Development and Systems Pharmacology written by Rupesh Kumar Gautam and published by Elsevier. This book was released on 2023-02-15 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases
Book Synopsis Chemoinformatics in Drug Discovery by : Tudor I. Oprea
Download or read book Chemoinformatics in Drug Discovery written by Tudor I. Oprea and published by John Wiley & Sons. This book was released on 2006-03-06 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical companies, as well as from chemoinformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process. With the user rather than the developer of chemoinformatics software in mind, this book describes the successful application of computational tools to real-life problems and presents solution strategies to commonly encountered problems. It shows how almost every step of the drug discovery pipeline can be optimized and accelerated by using chemoinformatics tools -- from the management of compound databases to targeted combinatorial synthesis, virtual screening and efficient hit-to-lead transition. An invaluable resource for drug developers and medicinal chemists in academia and industry.
Book Synopsis Computational Methods for Drug Repurposing by : Quentin Vanhaelen
Download or read book Computational Methods for Drug Repurposing written by Quentin Vanhaelen and published by Humana. This book was released on 2018-12-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Drug Design by : D. C. Young
Download or read book Computational Drug Design written by D. C. Young and published by John Wiley & Sons. This book was released on 2009-01-28 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.