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Books in Drug design

Focusing on rational and computational approaches, this collection explores the principles of molecular recognition, ligand-receptor interactions, and structure-based drug development. Supporting medicinal chemists, pharmacologists, and researchers, it highlights innovative strategies for discovering new therapeutics. Featuring case studies, modeling techniques, and high-throughput screening, these resources accelerate the creation of effective, safe, and targeted medicines.

  • Nanoengineered Therapeutics for Lung Cancer

    Advanced Drug Delivery Strategies
    • 1st Edition
    • Arun Kumar Singh + 4 more
    • English
    Nanoengineered Therapeutics for Lung Cancer: Advanced Drug Delivery Strategies explores contemporary methods for diagnosing and treating lung cancer using cutting-edge nanotechnology. The book provides a foundational understanding of lung cancer biology, detailing innovative nanodrug delivery strategies and their practical applications in treatment. The content is strategically structured, covering the design, synthesis, and application of nanodrug delivery systems. Chapters delve into specific technologies such as gold nanoparticles, exosome-mediated therapies, and siRNA-based gene silencing. The book also addresses challenges like drug resistance and toxicity, offering insights into future research directions and advancements in the field. This book benefits graduate students, researchers, and healthcare professionals by seamlessly integrating theoretical concepts with practical applications. It serves as an essential educational resource, equipping readers with the knowledge and skills needed to tackle complex challenges in lung cancer treatment using nanomedicine. This comprehensive guide ensures that readers stay at the forefront of the rapidly evolving landscape of cancer therapeutics.

  • The Organic Chemistry of Drug Design and Drug Action

    • 4th Edition
    • Richard B. Silverman + 2 more
    • English
    The Organic Chemistry of Drug Design and Drug Action, Fourth Edition presents a unique approach to medicinal chemistry based on physical organic chemical principles and reaction mechanisms that rationalize drug action. The book's coverage allows readers to extrapolate core principles and mechanisms to many related classes of drug molecules. It reflects the significant changes in the process of drug design over the last decade and preserves the successful approach of the previous editions while also including significant changes in format and coverage.It is designed for undergraduate and graduate students in chemistry who are studying medicinal chemistry or pharmaceutical chemistry. Users, including research chemists and biochemists working in pharmaceutical and biotechnology industries will find this update to be useful in their daily work.

  • Artificial Intelligence in Precision Drug Design, Volume 2

    Advanced Applications
    • 1st Edition
    • Khalid Raza
    • English
    Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development, presenting cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. It covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics, but also delves into emerging technologies such as quantum computing, large language models, and graph neural networks. Designed for academics, this volume provides researchers, clinicians, and graduate students with a resource on the latest AI methodologies in precision medicine.Users will find this to be a great resource that supports evidence-based innovation, fosters interdisciplinary collaboration, and equips them with insights to advance personalized healthcare solutions.

  • Artificial Intelligence in Precision Drug Design, Volume 1

    Foundations and Core Techniques
    • 1st Edition
    • Khalid Raza
    • English
    Artificial Intelligence in Precision Drug Design, Volume One: Foundations and Core Techniques offers a comprehensive introduction to the transformative role of AI in modern drug discovery. The book lays the groundwork for understanding how machine learning, deep learning, and generative models are reshaping the development of precision therapeutics. It explores foundational topics such as AI-driven molecular screening, pharmacokinetics, ADMET modeling, toxicity prediction, and omics integration. In addition, sections address ethical, philosophical, and epistemological dimensions, ensuring a well-rounded perspective. Each chapter, authored by global experts, combines theoretical insights with real-world case studies to bridge the gap between AI and life sciences.Designed for graduate students, researchers, and professionals in bioinformatics, biomedical sciences, and pharmaceutical R&D, this volume equips readers with essential knowledge and tools to navigate the evolving landscape of AI in drug design. It empowers interdisciplinary learners to apply cutting-edge AI techniques to real-world biomedical challenges.

  • Developing Solid Oral Dosage Forms

    Pharmaceutical Theory and Practice
    • 3rd Edition
    • Yihong Qiu + 4 more
    • English
    Developing Solid Oral Dosage Forms: Pharmaceutical Theory and Practice, Third Edition is a comprehensive and up-to-date guide for professionals and academics engaged in all aspects of oral dosage form development, from discovery support through commercial manufacturing. This new edition features 13 new or rewritten chapters, along with significant updates to existing content, reflecting the latest advancements in the field, including new theories, scientific findings, approaches, techniques, modeling, and the emerging opportunities offered by AI.This book consists of 44 chapters covering in-depth principles of physical pharmacy, biopharmaceutics, and industrial pharmacy, and their applications throughout the R&D process and commercial production of oral dosage forms. New chapters address topics such as absorption evaluation of oral dosage forms, formulation principles, and applications based on supersaturation, patient-centric product design, product design through the 505(b)(2) NDA pathway, design of experiments (DoE), process modeling, 3D printing, and machine learning applications in commercial manufacturing. Existing chapters have been updated or completely rewritten to provide advanced information and include practical case studies. Important topics such as amorphous solid dispersions, modified-release delivery, manufacturing technologies, modeling and simulation, fundamentals of dissolution and bioequivalence, IVIVC, biowaivers, regulatory frameworks, and many others are covered.The new edition of this book is an indispensable resource for industry professionals, academic institutions, and regulatory bodies seeking to stay current with advances in solid dosage form development and manufacturing. It offers a thorough understanding of fundamental principles and techniques, along with practical guidance on applying these concepts to real-world challenges.

  • Green Analytical Methods and Miniaturized Sample Preparation techniques for Forensic Drug Analysis

    • 1st Edition
    • Rajeev Jain + 1 more
    • English
    Green Analytical Methods and Miniaturized Sample Preparation techniques for Forensic Drug Analysis provides a comprehensive overview of GAMs in forensic drug analysis, including green sample preparation techniques, in-situ analytical platforms (such as DIC and µPADs), and on-site sample preparation. The book discusses not only eco-friendly GAM’s, but also methods which provide high sample throughput and cost-effective analysis, and are therefore of immense use in resource limited laboratories of developing countries. This is a comprehensive source of literature for analytical scientists in this developing area of sustainable and affordable analytical methods.

  • Artificial Intelligence for Drug Product Lifecycle Applications

    • 1st Edition
    • Alberto Pais + 3 more
    • English
    Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and postapproval phases. This book gives methods for each of the drug development steps, from the fundamentals to postapproval drug product. AI is a synergistic assembly of enhanced optimization strategies with particular applications in pharmaceutical development and advanced tools for promoting cost-effectiveness throughout the drug lifecycle. Specifically, AI brings together the potential to improve drug approval rates, reduce development costs, get medications to patients faster, and help patients comply with their treatments.Accelerat... pharmaceutical development and drug product approval rates will enable larger profits from patent-protected market exclusivity. This book offers the tools and knowledge to create the right AI strategy to extend the landscape of AI applications across the drug lifecycle. It is especially useful for pharmaceutical scientists, health care professionals, and regulatory scientists, as well as advanced students and postgraduates actively involved in pharmaceutical product and process development involving the use of artificial intelligence in drug delivery applications.

  • A Comprehensive Guide to Toxicology in Nonclinical Drug Development

    • 3rd Edition
    • Ali S. Faqi
    • English
    **Selected for 2025 Doody’s Core Titles® in Toxicology**A Comprehensive Guide to Toxicology in Nonclinical Drug Development, Third Edition is a valuable reference providing a complete understanding of all aspects of nonclinical toxicology in pharmaceutical research. This updated edition has been expanded and re-developed covering a wide-range of toxicological issues in small molecules and biologics. Topics include ADME in drug discovery, pharmacokinetics, toxicokinetics, formulations, and genetic toxicology testing. The book has been thoroughly updated throughout to reflect the latest scientific advances and includes new information on antiviral drugs, anti-diabetic drugs, immunotherapy, and a discussion on post-pandemic drug development challenges and opportunities. This is an essential and practical resource for all toxicologists involved in nonclinical testing in industry, academic, and regulatory settings.

  • Nucleic Acids

    A Natural Target for Newly Designed Metal Chelate Based Drugs
    • 1st Edition
    • Irshad Ul Haq Bhat + 1 more
    • English
    Nucleic Acids: A Natural Target for Newly Designed Metal Chelate Based Drugs discusses how human diseases are becoming more costly to treat, along with updates on the resistance offered by disease-causing agents. The abundance of drugs in the market has provided great relief to patients, but side effects can destroy the immune system of the body. Patients need to boost their immune system, and at the same time cover expenses incurred to cure disease. Thus, a paradigm shift is needed to design a drug molecule with low cost and easy availability. Metal complexes can be a great example of such a shift, as metal ions are components of biological molecules and can achieve good binding capability to specific targets while not allowing them to damage healthy cell system. Therefore, in this book, a comprehensive compilation of recent data is provided, including the structural elucidation of metal complexes by advanced techniques and the binding pattern of metal complexes with specific targets.

  • Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development

    • 1st Edition
    • Kunal Roy
    • English
    Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates.