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Books in Drug discovery

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.

BooksJournals

    • The AI Frontier in Molecular Modelling and Drug Designing

      • 1st Edition
      • May 1, 2026
      • Manish Kumar Gupta + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 3 3 8 5
      • eBook
        9 7 8 0 4 4 3 4 0 3 3 9 2
      The AI Frontier in Molecular Modeling and Drug Designing aims to provide a comprehensive guide on the application of AI concepts in drug designing, discovery, and molecular modeling. It delves into machine and deep learning techniques that predict structural properties of molecules, identify druggable pockets, and assess physicochemical properties of targets. The book also explores 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

      • 1st Edition
      • April 1, 2026
      • Simone Carradori + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 3 8 1 2 7
      • eBook
        9 7 8 0 4 4 3 4 3 8 1 3 4
      Chalcones: From Drug Discovery to Pharmaceutical Applications offers an exploration of chalcones, organic compounds renowned for their versatile chemistry and significance in drug research. This detailed reference discusses the natural sources of chalcones, their extraction and synthesis techniques, and their importance in developing innovative pharmaceuticals. Both newcomers and seasoned professionals will find foundational insights, methodologies for structural characterization, and the growing role these compounds play in advancing therapeutic solutions for a wide range of medical conditions. This resource stands out for its critical guidance on drug development strategies and its broad overview of chalcones’ potential to address complex health challenges.The book is divided into three comprehensive sections: “Foundations of Chalcones Research,” which examines chalcone origins and laboratory methods; “Pharmacology of Chalcones,” detailing their pharmacokinetics, safety profiles, and unique medicinal properties, including antiviral, antibacterial, anticancer, and neuroprotective effects; and “Prospects,” focusing on drug formulation, chalcone-based clinical trials, and future pharmaceutical applications.

    • Drug Discovery

      • 1st Edition
      • April 1, 2026
      • Renren Bai
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 5 1 5 0
      • eBook
        9 7 8 0 4 4 3 4 0 5 1 6 7
      Drug Discovery: Traditional Approaches and Advanced Strategies serves as a comprehensive guide to the evolving world of pharmaceutical research. The monograph bridges time-honored methods and the latest innovations, with particular attention paid to the transformative influence of artificial intelligence and other emerging technologies on drug development. As the industry experiences rapid change, the book equips readers to understand and navigate the shifting landscape, fostering improved research efficiency and higher clinical success rates. Organized into three distinct sections, it delivers a thorough exploration of essential trends, foundational concepts, and the dynamic future of drug discovery.The book not only covers traditional drug target identification and lead optimization but also delves into groundbreaking techniques such as targeted protein degradation and innovative design strategies. By integrating practical case studies with real-world applications, it becomes an invaluable resource for researchers, students, and professionals.

    • Antimicrobial Therapeutics and Drug Discovery

      • 1st Edition
      • March 1, 2026
      • Chengyuan Liang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 5 1 8 8
      • eBook
        9 7 8 0 4 4 3 3 6 5 1 9 5
      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.

    • Natural Product Drug Discovery

      • 1st Edition
      • February 1, 2026
      • Ning Li + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 5 7 8 5
      • eBook
        9 7 8 0 4 4 3 4 0 5 7 9 2
      Natural Product Drug Discovery: Highly Anticipated Natural Molecules provides a comprehensive examination of the role of natural products in innovative drug development. This research level reference addresses the significant challenges that highly active natural molecules face in the drug development process, including issues related to bioavailability and potency. The book presents detailed analyses of various classes of natural products, including polysaccharides, volatile oils, and diterpenoids, exploring their chemical properties, biological activities, and potential clinical applications. Each chapter is authored by leading experts in the field, offering insights into structural modification techniques, naturally sourced inhibitors, and the application of green biomanufacturing strategies to enhance drug development. This volume in the Drug Discovery Opinion series serves as an essential resource for researchers, pharmacologists, and industry professionals involved in natural product drug discovery. It provides the necessary information to navigate the complexities of this field, emphasizing the integration of traditional knowledge with modern scientific approaches. Through a thorough understanding of these natural compounds, this book aims to contribute to the advancement of therapeutic innovations in pharmacotherapy.

    • Medicinal Plants

      • 2nd Edition
      • February 1, 2026
      • Da-Cheng Hao + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 3 4 1 7 8 3 2
      • eBook
        9 7 8 0 4 4 3 4 1 7 8 4 9
      Medicinal Plants: Chemistry, Biology, and Omics, Second Edition is a reference to help researchers identify and master the patterns in the distribution of medicinal compounds on the phylogenetic tree to explore new drug resources and develop novel therapies against different diseases. The book provides a deeper understanding of how the interrelationship between phytometabolites, bioactivities and omics techniques facilitates sustainable conservation and application of phytomedicine resources. Now in 2nd edition, the contents have been updated to include topics as machine learning applications, geographic distribution of phytometabolites, comparative analysis of alkaloids, expanded coverage of selected taxa, and conditions like cardiovascular disease and cancer. The book is structured around chemotaxonomy. After an introduction and review of taxonomy, chemistry, biology and omics, the authors dive into a taxon-guided exploration of medicinal resources for Fritillaria, Chelidoniae, Dichocarpum, Aconitum, Cimicifugeae, Clematis, Potentilla, Rubus, Cannabis, and other taxa. All chapters follow a similar and consistent structure, offering detailed information on each of them. Researchers in phytopharmacology can acquire in-depth understanding of the interrelationships between chemistry, biology and omics, as well as the implications of the link between phylogeny, phytometabolites and bioactivities in medical biotechnology and sustainability. Clinicians can better understand the principles of mutual interactions between phytometabolites and drug efficacy.

    • Synthesis of Best-Seller Drugs

      • 2nd Edition
      • December 1, 2025
      • Ruben Vardanyan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 8 6 9 4
      • eBook
        9 7 8 0 4 4 3 3 3 8 7 0 0
      Synthesis of Best-Seller Drugs, Second Edition provides detailed information on the most popular drugs, using a practical layout arranged according to drug type. Each chapter reviews the main drugs in each of nearly 40 key therapeutic areas, also examining their classification, novel structural features, models of action, and synthesis. Of high interest to all those who work in the captivating areas of biologically active compounds and medicinal drug synthesis, in particular medicinal chemists, biochemists, and pharmacologists, the book aims to support current research efforts, while also encouraging future developments in this important field.

    • Emerging Trends in Phytotherapy of Cancer

      • 1st Edition
      • December 1, 2025
      • Mahendra Rai + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 5 1 1 2
      • eBook
        9 7 8 0 4 4 3 4 0 5 1 2 9
      Emerging Trends in Phytotherapy of Cancer is an essential reference that explores the multifaceted role of medicinal plants in combating cancer. The book covers a broad range of interconnected topics including ethnomedicinal plants used in cancer by tribes and aboriginals, herbs used in Ayurvedic medicine for cancer, integrated approaches of modern and conventional drugs, anti-cancerous secondary metabolites, plant-based anticancer drugs approved by FDA and WHO, toxicity to humans, and the role of emerging technologies such as the applications of nanotechnology and artificial intelligence. The contents are divided into six parts. Part one opens with an introductory chapter, followed by the different combinations of plant-based drugs and modern medicine for cancer treatment, and recent developments in cancer research. Part two discusses the ethnomedicinal uses of plants in cancer and the role of Ayurvedic herbal medicines in cancer. Part three incorporates the role of secondary metabolites in cancer treatment. Part four elaborates on the plant-based drugs recommended by FDA/WHO. Part five concerns the human phytotoxicity of secondary metabolites, and part six describes the role of emerging nanotechnologies and artificial intelligence in phytotherapy drug delivery and treatment. Targeted at researchers, healthcare professionals, and advanced students in related fields, this book provides technical and in-depth knowledge, contributing to ongoing advancements in cancer treatment. It uniquely integrates ethnomedicinal therapies with modern technologies, offering a comprehensive overview of the research into phytomedicinal cancer therapies.

    • Drug Discovery Approaches for the Treatment of Neurodegenerative Disorders

      • 2nd Edition
      • November 1, 2025
      • Adeboye Adejare
      • English
      • Hardback
        9 7 8 0 4 4 3 3 0 0 0 8 0
      • eBook
        9 7 8 0 4 4 3 3 0 0 0 9 7
      Drug Discovery Approaches for the Treatment of Neurodegenerative Disorders: Alzheimer’s Disease, Second Edition delves into the complexities of drug discovery, specifically for Alzheimer's Disease, presenting the necessary paradigm for future success in research and treatment. This edition is thoroughly updated with recent developments in therapeutic strategies, including amyloid hypothesis, tau, apo E, insulin, and others, and introduces a new chapter on drug delivery to the brain. Additionally, the book encompasses diagnosis, epidemiology, drug discovery strategies, current therapeutics, and more, offering a comprehensive approach to Alzheimer's Disease.It covers the latest in targeted drug design, preclinical studies, and animal models, making it an essential resource for pharmaceutical scientists, pharmacologists, neuroscientists, and clinical researchers. Patients and advocacy groups can also gain valuable insights from the overview of current treatments and scientific advancements in the field.

    • Deep Learning in Drug Design

      • 1st Edition
      • September 22, 2025
      • Qifeng Bai + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 9 0 8 1
      • eBook
        9 7 8 0 4 4 3 3 2 9 0 9 8
      Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, the architectures of deep learning, geometric deep learning, large models, etc., as well as deep learning applications in various aspects of drug design. This book offers a comprehensive academic overview of deep learning in drug design. It begins with molecular representations, CNNs, GNNs, Transformers, generative models, explainable AI, large models, etc. Next, it covers deep learning applications like protein structure prediction, molecular interactions, ADMET prediction, antibody design, and so on. Finally, a separate chapter is dedicated to the introduction of the ethics and regulation of artificial intelligence in drug design. This book is ideal for readers aiming to learn and implement deep learning methods and applications in drug design and related fields.Deep Learning in Drug Design: Methods and Applications is particularly helpful to undergraduate, graduate, and doctoral students in need of a practical guide to the principles of the discipline. Established researchers in the area will benefit from the detailed case studies and algorithms presented.