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Virtual Drug Design
In the current drug research environment in academia and industry, cheminformatics and virtual screening methods are well established and integrated tools. Computational tools are used to predict a compound’s 3D structure, the 3D structure and function of a pharmacological target, ligand-target interactions, binding energies, and other factors essential for a successful drug. This includes molecular properties such as solubility, logP value, susceptibility to metabolism, cell permeation, blood brain barrier permeation, interaction with drug transporters and potential off-target effects. Given that approximately 40 million unique compounds are readily available for purchase, such computational modeling and filtering tools are essential to support the drug discovery and development process. The aim of all these calculations is to focus experimental efforts on the most promising candidates and exclude problematic compounds early in the project. In this Research Topic on virtual activity predictions, we cover several aspects of this research area such as historical perspectives, data sources, ligand treatment, virtual screening methods, hit list handling and filtering.
Antitargets
This practice-oriented handbook surveys current knowledge on the prediction and prevention of adverse drug reactions related to off-target activity of small molecule drugs. It is unique in collating the current approaches into a single source, and includes several highly instructive case studies that may be used as guidelines on how to improve drug development projects. With its large section on ADME-related effects, this is key knowledge for every drug developer.
Progress in the Chemistry of Organic Natural Products 110
The book summarizes important aspects of cheminformatics that are relevant for natural product research. It highlights cheminformatics tools that help to match natural products with their respective biological targets or off-targets, and discusses the potential and limitations of this approach.
Natural Compounds as Drugs, Volume I
In a real tour de force of pharmacological literature, this edited volume’s chapters highlight the biodiversity-driven approaches which are now of eminent importance in natural products research. It addresses the question why natural products display such complex chemical information, what makes them unique, as they often are, and what their characteristics are. Practical questions such as supply of natural substances and production optimization strategies are also covered.
Pharmaceutical Crystals
The crystalline state is the most commonly used essential solid active pharmaceutical ingredient (API). The characterization of pharmaceutical crystals encompasses many scientific disciplines, but the core is crystal structure analysis, which reveals the molecular structure of essential pharmaceutical compounds. Crystal structure analysis provides important structural information related to the API's wide range of physicochemical properties, such as solubility, stability, tablet performance, color, and hygroscopicity. This book entitled “Pharmaceutical Crystals" focuses on the relationship between crystal structure and physicochemical properties. In particular, the new crystal structure of...
Polypharmacology in Drug Discovery
An essential outline of the main facets of polypharmacology in drug discovery research Extending drug discovery opportunities beyond the "one drug, one target" philosophy, a polypharmacological approach to the treatment of complex diseases is emerging as a hot topic in both industry and academic research. Polypharmacology in Drug Discovery presents an overview of the various facets of polypharmacology and how it can be applied as an innovative concept for developing medicines for treating bacterial infections, epilepsy, cancer, psychiatric disorders, and more. Filled with a collection of instructive case studies that reinforce the material and illuminate the subject, this practical guide: Co...
Pharmacophore Perception, Development, and Use in Drug Design
In the early 1900s, Paul Ehrlich first defined pharmacophores as molecule frameworks that carry the essential features responsible for a drug's biological activity, and the modern definition is little changed. The 27 studies here begin by tracing the evolution of the concept in pharmaceutical research, then cover analog-based and receptor-based varieties, new algorithms, and the future of research. Among the specific topics: pharmacophores based on multiple common-feature alignments; modeling programs including HypoGen, DISCO, Catalyst, HipHop, GASP, Chem-X, Apex-3D, CoMFA; pharmacophore-based molecular docking, a technique for developing a pharmacophore model that accommodates inherent protein flexibility; and the effect of variable weights and tolerances on predictive model generation. Books in Print lists only one other book on the topic of pharmacophores. Annotation copyrighted by Book News, Inc., Portland, OR
The Practice of Medicinal Chemistry
The Practice of Medicinal Chemistry fills a gap in the list of available medicinal chemistry literature. It is a single-volume source on the practical aspects of medicinal chemistry. Considered ""the Bible"" by medicinal chemists, the book emphasizes the methods that chemists use to conduct their research and design new drug entities. It serves as a practical handbook about the drug discovery process, from conception of the molecules to drug production. The first part of the book covers the background of the subject matter, which includes the definition and history of medicinal chemistry, the measurement of biological activities, and the main phases of drug activity. The second part of the b...
Computational Medicinal Chemistry for Drug Discovery
Observing computational chemistry's proven value to the introduction of new medicines, Computational Medicinal Chemistry for Drug Discovery offers the techniques most frequently utilized by industry and academia for ligand design. Featuring contributions from more than 50 preeminent scientists, this book surveys molecular structure computation, intermolecular behavior, ligand-receptor interaction, and modeling. It also examines molecular mechanics, semi-empirical methods, wave function-based quantum chemistry, density functional theory, 3-D structure generation, and hybrid methods.
