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Elsevier

Libros en Descubrimiento de Fármacos

Elsevier's Drug Delivery collection is an indispensable resource for scientists and researchers in the pharmaceutical field, exploring the administration of pharmaceutical compounds for therapeutic effects from molecule identification to medication development. It provides comprehensive coverage, including crucial aspects such as drug screening, medicinal chemistry, and preclinical safety assessments. Highlighting emerging trends like precision medicine, AI applications, immunotherapy, and innovative delivery systems, the collection offers insights into the latest advancements and their impact on healthcare.

  • Network Pharmacology

    Exploring New Horizons in Drug Discovery
    • 1 Edición
    • Veeranoot Nissapatorn + 4 más
    • Inglés
    Network Pharmacology: Exploring New Horizons in Drug Discovery explores the innovative network pharmacology approach—which examines the intricate interactions between disease targets and metabolites—offering a systems-based perspective that is essential for modern drug discovery. Readers will find in-depth discussions on metabolite databases, computational tools, and the role of natural products in drug discovery. Notable topics include network-based approaches to drug repurposing, personalized medicine, and the implications of traditional medicine in pharmacological research, all supported by real-world case studies and advanced computational methodologies.By integrating multiomics data, including metabolite profiling, the book addresses the limitations of conventional methods and opens new pathways for understanding disease mechanisms and therapeutic responses. This is a foundational guide for researchers, pharmaceutical scientists, and academic scholars across diverse fields such as pharmacology, metabolomics, and systems biology.

  • Personalized Cancer Medicine through Multiomics

    • 1 Edición
    • Mohammad Azhar Aziz + 1 más
    • Inglés
    Personalized Cancer Medicine through Multiomics explores the groundbreaking integration of multiomics to transform cancer diagnosis and treatment. The book delves into how the convergence of genomics, transcriptomics, proteomics, and metabolomics offers a comprehensive understanding of cancer biology, surpassing traditional single-omics approaches. Sections detail advancements in high-throughput technologies and computational methods, including machine learning, that enable the analysis of complex cancer datasets. Additional content discusses how multiomics identifies unique molecular signatures, novel therapeutic targets, and biomarkers, facilitating precise and individualized treatment strategies, particularly for heterogeneous cancers.For academics, this book serves as an essential resource, compiling fragmented research into a single, coherent volume. It provides foundational knowledge, the latest advancements, and practical applications of multiomics in personalized medicine. Researchers will benefit from interdisciplinary approaches, real-world examples, and cutting-edge methodologies, making it an invaluable reference for advancing their work in oncology.

  • Baicalin

    Pharmacology, Clinical Applications, and Future Prospects
    • 1 Edición
    • Xiao Ma + 2 más
    • Inglés
    Baicalin: Pharmacology, Clinical Applications, and Future Prospects consolidates foundational knowledge and recent advancements in baicalin research, addressing critical aspects such as efficacy, toxicity, and pharmacokinetics. The book is organized into three main parts, beginning with the Foundations of Baicalin Research, which explores the historical and traditional uses of Baicalin, extraction methods, and modern research advancements. The second part, Pharmacology of Baicalin, provides an in-depth analysis of its mechanisms of action, bioavailability, and pharmacokinetic parameters, while also presenting current applications in various diseases, including pulmonary, liver, cardiovascular, and nervous system disorders. Finally, the Prospects section addresses future directions in drug delivery and administration.By balancing scientific rigor with accessibility, this book is tailored for PhD students, postdoctoral researchers, and pharmaceutical professionals. It highlights cutting-edge research and practical applications, empowering readers to explore the full potential of baicalin in drug development and clinical practice.

  • The Renaissance in GPCR Research and Drug Discovery

    Receptor Function, Receptor Structure, New Techniques, and Characterization of Drug Activity
    • 1 Edición
    • Terry P. Kenakin
    • Inglés
    The Renaissance in GPCR Research and Drug Discovery: Receptor Function, Receptor Structure, New Techniques, Characterization of Drug Activity, Drug Discovery is a comprehensive reference for pharmacology researchers. It focuses on utilizing novel aspects of GPCR function for therapeutic advantage and applying new chemical types to modify GPCR behavior. Recent advancements have revitalized GPCR discovery, opening unexplored avenues for new drug development. The book's content is meticulously divided into five distinct parts, covering evolutionary perspectives, novel functions, investigative technologies, therapeutic modalities, and a broad range of GPCR ligands.Beyond these key topics, the book delves into the evolution of GPCRs as drug targets, the mechanisms behind their novel functions, and the latest technologies driving research and discovery. It also highlights new and recently approved therapeutic modalities and provides a broad coverage of GPCR ligands. Edited and authored by leading researchers, this book serves as an essential reference for drug discovery researchers and medicinal chemists, as well as AI researchers exploring this drug discovery space.

  • Drug Discovery

    Traditional Approaches and Advanced Strategies
    • 1 Edición
    • Renren Bai
    • Inglés
    Drug Discovery: Traditional Approaches and Advanced Strategies is a foundational monograph that connects established methodologies, cutting-edge technologies, and the transformative impact of AI and other emerging tools in the drug discovery landscape. Sections provide an overview of drug discovery and development, introducing current trends and the evolving landscape of the field, explore traditional approaches alongside advanced strategies, covering topics such as drug target discovery, lead optimization, and the revolutionary role of artificial intelligence in drug discovery, and investigate promising emerging technologies, including targeted protein degradation and innovative design strategies. Equipping readers with insights into the future of drug development, this is a vital resource for academic and industrial researchers, students, and professionals seeking to stay at the forefront of drug discovery. By integrating traditional methodologies with the latest advancements, this book not only enhances understanding but also inspires innovation. With practical case studies and real-world applications, it empowers researchers to effectively implement new technologies, ultimately improving the efficiency and success rates of their R&D endeavors.

  • The AI Frontier in Molecular Modelling and Drug Designing

    • 1 Edición
    • Manish Kumar Gupta + 2 más
    • Inglés
    The AI Frontier in Molecular Modelling and Drug Designing aims to provide a comprehensive guide on the application of AI concepts in drug designing, discovery, and molecular modeling. The book delves into machine and deep learning techniques that predict structural properties of molecules, identify druggable pockets, and assess physicochemical properties of targets. Sections explore current and potential computational resources to tackle complex biological challenges. Each chapter is enriched with relevant examples, text boxes, and case studies that illustrate the practical application of AI techniques, their outcomes, and the challenges faced during implementation.This resource is tailored for researchers, students, and professionals in both academia and industry, providing them with the latest methodologies, advancements in technology, and practical insights into AI-driven drug research, structural biology, computational biology, and translational science.

  • Chalcones

    From Drug Discovery to Pharmaceutical Applications
    • 1 Edición
    • Simone Carradori + 2 más
    • Inglés
    Chalcones: From Drug Discovery to Pharmaceutical Applications serves as a comprehensive reference on chalcones, detailing their natural occurrence, synthetic methods, and therapeutic applications. The book provides both novice and experienced researchers with the foundational knowledge necessary to advance their work in this area. Sections cover the natural sources of chalcones, various extraction methods, structural characterization techniques, synthesis, and their role in organic chemistry and metal complexes, while also addressing pharmacokinetic properties, toxicity, and the medicinal uses of chalcones, including their effectiveness against viruses, bacteria, cancer, and neurodegenerative diseases. Final sections explore chalcone-containing products, drug formulation strategies, and clinical trials involving chalcone-based drug candidates. This reference is an essential resource for pharmaceutical researchers, providing critical insights into the applications and potential of chalcones in drug development and therapeutic interventions.

  • Computer-Aided Drug Design in Modern Drug Discovery

    • 1 Edición
    • Yinuo Wu + 2 más
    • Inglés
    Computer-Aided Drug Design in Modern Drug Discovery offers an in-depth exploration of CADD, featuring real-world case studies and practical examples that empower researchers to effectively harness this technology in drug discovery and development. Exploring the intricacies of CADD, the book comprises several key chapters, beginning with an introduction to its methods and evolution that is followed by a thorough examination of the integration of artificial intelligence in drug design. Subsequent chapters cover various CADD approaches, including ligand-based, structure-based, and fragment-based design, alongside AI-driven compound generation and drug screening.The book also showcases a selection of marketed drugs developed with CADD or AI, such as Captopril, Tirofiban, and Crizotinib, providing invaluable insights into the successes and challenges faced in real-world applications. Finally, the discussion of emerging trends and future directions in CADD and AI highlights the ongoing evolution of these methodologies and their integration with traditional drug development processes.

  • Kinase Targets and Drug Discovery

    • 1 Edición
    • Xiaoyun Lu
    • Inglés
    Kinase Targets and Drug Discovery covers the critical role of kinases as regulators of cellular functions and their implications in a range of diseases, from cancers to cardiovascular disorders and inflammatory conditions. Readers will explore foundational concepts on the functions of kinases, the role of kinase inhibitors in disease therapy, and challenges faced. The second section focuses on innovative strategies in kinase drug discovery, covering screening and computational approaches, along with the development of covalent, macrocyclic, allosteric inhibitors, and kinase degraders. Final sections examine clinical applications, detailing how kinase inhibition can be harnessed for cancer therapies, non-oncologic diseases, and even non-catalytic functions.This book will serve as an indispensable resource for pharmacologists, medicinal chemists, and researchers in both academia and industry. By bridging the gap between foundational research and clinical application, it equips professionals with the latest insights and practical approaches to advance their understanding to contribute meaningfully to the evolving landscape of drug discovery.

  • Antimicrobial Therapeutics and Drug Discovery

    • 1 Edición
    • Chengyuan Liang + 1 más
    • Inglés
    Antimicrobial Therapeutics and Drug Discovery is a comprehensive resource that provides an overview of antimicrobial drug discovery. It covers a wide spectrum of pathogenic organisms causing human infections, exploring alternative therapeutic strategies beyond traditional small molecule drugs. The contents in the book are structured into four parts, each focusing on a different aspect of antimicrobial drug discovery. From exploring viral and host targets, understanding antibiotic resistance mechanisms, to the potential of nanomedicine and computational approaches, the book offers a comprehensive view of the field. Employing a multidisciplinary approach, chapters discuss the importance of drug discovery for fungi, Mycobacteria, Mycoplasma, and parasites, and offers insights into innovative biomedical approaches and combination therapies. By bridging the gap between experimental research and practical application, Antimicrobial Therapeutics and Drug Discovery is a key reference for pharmacologists and pharmaceutical scientists working in academic and corporate research. Medicinal chemists and microbiologists will also benefit from the multidisciplinary coverage of the book.