Computer Aided Drug Design Cadd From Ligand Based Methods To Structure Based Approaches
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Computer Aided Drug Design Cadd From Ligand Based Methods To Structure Based Approaches
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Author : Mithun Rudrapal
language : en
Publisher: Elsevier
Release Date : 2022-05-26
Computer Aided Drug Design Cadd From Ligand Based Methods To Structure Based Approaches written by Mithun Rudrapal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Science categories.
Computer-Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches outlines the basic theoretical principles, methodologies and applications of different fundamental and advanced CADD approaches and techniques. Including information on current protocols as well as recent developments in the computational methods, tools and techniques used for rational drug design, the book explains the fundamental aspects of CADD, combining this with a practical understanding of the various in silico approaches used in modern drug discovery processes to assess the field in a comprehensive and systematic manner. Providing up-to-date, information and guidance for scientists, researchers, students and teachers, the book helps readers address specific academic and research related problems using illustrative explanations, examples and case studies, which are systematically reviewed. - Highlights in silico approaches to drug design and discovery using computational tools and techniques - Details ligand-based and structure-based drug design in a comprehensive and systematic approach - Summarizes recent developments in computational drug design strategy as novel approaches of rational drug designing
Computer Aided Drug Design
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Author : Dev Bukhsh Singh
language : en
Publisher: Springer Nature
Release Date : 2020-10-09
Computer Aided Drug Design written by Dev Bukhsh Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Medical categories.
This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.
Drug Discovery And Development Third Edition
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Author : James J. O'Donnell
language : en
Publisher: CRC Press
Release Date : 2019-12-13
Drug Discovery And Development Third Edition written by James J. O'Donnell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Medical categories.
Drug Discovery and Development, Third Edition presents up-to-date scientific information for maximizing the ability of a multidisciplinary research team to discover and bring new drugs to the marketplace. It explores many scientific advances in new drug discovery and development for areas such as screening technologies, biotechnology approaches, and evaluation of efficacy and safety of drug candidates through preclinical testing. This book also greatly expands the focus on the clinical pharmacology, regulatory, and business aspects of bringing new drugs to the market and offers coverage of essential topics for companies involved in drug development. Historical perspectives and predicted trends are also provided. Features: Highlights emerging scientific fields relevant to drug discovery such as the microbiome, nanotechnology, and cancer immunotherapy; and novel research tools such as CRISPR and DNA-encoded libraries Case study detailing the discovery of the anti-cancer drug, lorlatinib Venture capitalist commentary on trends and best practices in drug discovery and development Comprehensive review of regulations and their impact on drug development, highlighting special populations, orphan drugs, and pharmaceutical compounding Multidiscipline functioning of an Academic Research Enterprise, plus a chapter on Ethical Concerns in Research Contributions by 70+ experts from industry and academia specialists who developed and are practitioners of the science and business
Drug Design And Discovery
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Author : Seetharama D. Satyanarayanajois
language : en
Publisher: Humana Press
Release Date : 2011-02-16
Drug Design And Discovery written by Seetharama D. Satyanarayanajois and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-16 with Medical categories.
Research in the pharmaceutical sciences and medicinal chemistry has taken an important new direction in the past two decades with a focus on large molecules, especially peptides and proteins, as well as DNA therapeutics. In Drug Design and Discovery: Methods and Protocols, leading experts provide an in-depth view of key protocols that are commonly used in drug discovery laboratories. Covering both classic and cutting-edge techniques, this volume explores computational docking, quantitative structure-activity relationship (QSAR), peptide synthesis, labeling of peptides and proteins with fluorescent labels, DNA-microarray, zebrafish model for drug screening, and other analytical screening and biological assays that are routinely used during the drug discovery process. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Thorough and accessible, Drug Design and Discovery: Methods and Protocols serve as a vital laboratory reference for pharmaceutical chemists, medicinal chemists, and pharmacologists as well as for molecular biologists.
Text Book Of Computer Aided Drug Design
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Author : Valapa Anusha, Lalbihari Barik, Prashant Gupta, Dr Pichika Mallikarjuna Rao, Mak Kit-Kay
language : en
Publisher: Shashwat Publication
Release Date : 2025-05-30
Text Book Of Computer Aided Drug Design written by Valapa Anusha, Lalbihari Barik, Prashant Gupta, Dr Pichika Mallikarjuna Rao, Mak Kit-Kay and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Fiction categories.
The Text Book of Computer Aided Drug Design is a comprehensive guide covering modern techniques used in computational drug discovery. It begins with an introduction to Computer Aided Drug Design (CADD), highlighting its history, fundamental principles, and wide-ranging applications. The book then delves into Quantitative Structure-Activity Relationships (QSAR), explaining basics, the evolution of QSAR methodologies, and the importance of physicochemical parameters like electronic, lipophilicity, and steric effects. Both experimental and theoretical approaches for parameter determination are detailed. Further, it elaborates on Hansch and Free Wilson analysis, deriving 2D-QSAR equations, and advanced 3D-QSAR approaches along with contour map interpretation. A dedicated section discusses the crucial role of molecular modeling and quantum mechanics in drug design. It contrasts global minimum energy conformations with bioactive conformations and thoroughly explains rigid, flexible, and extra-precision molecular docking techniques. The text also explores enzyme targets such as DHFR, HMG-CoA reductase, HIV protease, and cholinesterases, emphasizing the design of inhibitors. Another highlight is the prediction of ADMET properties essential for successful drug candidates. De novo drug design is explored with focus on receptor/enzyme interactions, cavity predictions, and fragment-based approaches. Techniques like homology modeling and generation of 3D protein structures are covered to support structure-based drug design. The final chapters are dedicated to pharmacophore mapping and virtual screening methods. Readers learn about pharmacophore identification, conformational search techniques, in silico drug design strategies, and both similarity-based and structure-based virtual screening approaches. Rich in theory and practical approaches, this book serves as an essential resource for pharmacy, medicinal chemistry, and computational biology students. It bridges fundamental concepts with advanced drug discovery techniques. It is ideal for both beginners seeking a strong foundation and researchers aiming for advanced applications. Comprehensive examples, models, and updated techniques make it highly relevant to current pharmaceutical research and industry needs.
Biomolecular Simulations In Structure Based Drug Discovery
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Author : Francesco L. Gervasio
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-29
Biomolecular Simulations In Structure Based Drug Discovery written by Francesco L. Gervasio and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-29 with Medical categories.
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.
Biomedical Signal Processing For Healthcare Applications
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Author : Varun Bajaj
language : en
Publisher: CRC Press
Release Date : 2021-07-20
Biomedical Signal Processing For Healthcare Applications written by Varun Bajaj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with Technology & Engineering categories.
This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.
Computer Aided Drug Design
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Author : Aman Thakur
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-08-19
Computer Aided Drug Design written by Aman Thakur and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Science categories.
Computer-Aided Drug Design (CADD) is a comprehensive guide designed for both beginners and experienced users in CADD. This book covers the fundamental principles and gradually delves into more advanced concepts and techniques, making it an invaluable resource to anyone interested in CADD. It begins by establishing a solid foundation, explaining the core concepts of CADD, the user interface and essential tools. It covers QSAR, molecular docking, homology modeling, virtual screening, pharmacophore modeling, ensuring that the reader can quickly become proficient in CADD. The book provides in-depth insights into 3D modeling, rendering, and parametric design. The style of the book is simple, every topic begins from the very basics and explores advanced levels with clarity. Practical examples, step-by-step tutorials and hands-on exercises, are included for better understanding.
Chemoinformatics Approaches To Structure And Ligand Based Drug Design Volume Ii
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Author : Adriano D. Andricopulo
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-27
Chemoinformatics Approaches To Structure And Ligand Based Drug Design Volume Ii written by Adriano D. Andricopulo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-27 with Science categories.
Biophysical And Computational Tools In Drug Discovery
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Author : Anil Kumar Saxena
language : en
Publisher: Springer Nature
Release Date : 2021-10-18
Biophysical And Computational Tools In Drug Discovery written by Anil Kumar Saxena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-18 with Science categories.
This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery.