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.
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 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.Accelerated 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, 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 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 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.
Polymeric Nanosystems: Theranostic Nanosystems, Volume One examines the applications of nanotherapeutic systems and nanodiagnostics in relation to polymeric nanosystems. In the last decade, numerous biopolymers have been utilized to prepare polymeric nanosystems for therapeutic applications. These biopolymers include polylactic acid, polylactide-co-glycolide, polycaprolactone, acrylic polymers, cellulose and cellulose derivatives, alginates, chitosan, gellan gum, gelatin, albumin, chontroitin sulfate, hyaluronic acid, guar gum, gum Arabic, gum tragacanth, xanthan gum, and starches. Besides these biopolymers, grafted polymers are also being used as advanced polymeric materials to prepare many theranostic nanocarriers and nanoformulations. This book explores the array of polymeric nanosystems to understand therapeutic potentials. It will be useful to pharmaceutical scientists, including industrial pharmacists and analytical scientists, health care professionals, and regulatory scientists actively involved in the pharmaceutical product and process development of tailor-made polysaccharides in drug delivery applications.
Advanced Nanoformulations: Theranostic Nanosystems, Volume Three examines the applications of nanotherapeutic systems and nanodiagnostics in relation to polymeric nanosystems. In the last decade, numerous biopolymers have been utilized to prepare polymeric nanosystems for therapeutic applications. These biopolymers include polylactic acid, polylactide-co-glycolide, polycaprolactone, acrylic polymers, cellulose and cellulose derivatives, alginates, chitosan, gellan gum, gelatin, albumin, chontroitin sulfate, hyaluronic acid, guar gum, gum Arabic, gum tragacanth, xanthan gum, and starches. Besides these biopolymers, grafted polymers are also being used as advanced polymeric materials to prepare many theranostic nanocarriers and nanoformulations. This book explores the array of polymeric nanosystems to understand therapeutic potentials. It will be useful to pharmaceutical scientists, including industrial pharmacists and analytical scientists, health care professionals, and regulatory scientists actively involved in the pharmaceutical product and process development of tailor-made polysaccharides in drug delivery applications.
Smart Polymeric Nano-Constructs in Drug Delivery: Concept, Design and Therapeutic Applications provides a thorough discussion of the most state of the art material and polymer exploitations for the delivery of bioactive(s) as well as their current and clinical status. The book enables researchers to prepare a variety of smart drug delivery systems to investigate their properties as well as to discover their uses and applications. The novelty of this approach addresses an existing need of exhaustively understanding the potential of the materials including polymeric drug delivery systems that are smartly designed to deliver bioactive(s) into the body at targeted sites without showing side effects. The book is helpful for those in the health sector, specifically those developing nanomedicine using smart material-based nano-delivery systems. Polymers have unique co-operative properties that are not found with low-molecular-weight compounds along with their appealing physical and chemical properties, constituting the root of their success in drug delivery. Smart Polymeric Nano-Constructs in Drug Delivery: Concept, Design and Therapeutic Applications discusses smart and stimuli responsive polymers applicable in drug delivery, followed detailed information about various concepts and designing of polymeric novel drug delivery systems for treatment of various type of diseases, also discussing patents related to the field. The book helps readers to design and develop novel drug delivery systems based on smart materials for the effective delivery of bioactive that take advantage of recent advances in smart polymer-based strategies. It is useful to those in pharmaceutical sciences and related fields in developing new drug delivery systems.
Drug Delivery Systems for Metabolic Disorders presents the most recent developments on the targeted delivery of drugs to deal with metabolic disorders in a safe, compliant and continuous way. The book covers recent developments in advanced drug delivery systems in various metabolic disorders, including disturbances in protein, lipid, carbohydrate and hormone metabolism and lysosomal and mitochondrial disorders. It provides a brief introduction to metabolic disorders, along with a focus on the current landscape and trends in understanding disease pathology using different in vitro and in vivo models required for clinical applications and developments of new therapeutics. Each subsequent chapter covers drug delivery systems dedicated to metabolic diseases caused by disturbances in protein, lipid, carbohydrate and hormone metabolism. Then, it moves on to cover lysosomal storage disorders and applications of phytopharmaceuticals in this context. This is the perfect reference for researchers in pharmaceutical science who are interested in developing new treatments for metabolic diseases.