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Pharmacophores and Pharmacophore Searches
This handbook is the first to address the practical aspects of this novel method. It provides a complete overview of the field and progresses from general considerations to real life scenarios in drug discovery research. Starting with an introductory historical overview, the authors move on to discuss ligand-based approaches, including 3D pharmacophores and 4D QSAR, as well as the concept and application of pseudoreceptors. The next section on structure-based approaches includes pharmcophores from ligand-protein complexes, FLIP and 3D protein-ligand binding interactions. The whole is rounded off with a complete section devoted to applications and examples, including modeling of ADME properties. With its critical evaluation of pharmacophore-based strategies, this book represents a valuable aid for project leaders and decision-makers in the pharmaceutical industry, as well as pharmacologists, and medicinal and chemists.
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.
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
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.
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...
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.
Virtual ADMET Assessment in Target Selection and Maturation
A significant contributing factor to the evolution in drug discovery was the methodological and technological revolution with the advent of combinatorial chemistry. This volume summarizes discussions of three aspects of modern drug discovery, that is, priority for targets, early ADMET assessment, and in silico screening.
Reviews in Computational Chemistry, Volume 27
This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Volume 27 covers brittle fracture, molecular detailed simulations of lipid bilayers, semiclassical bohmian dynamics, dissipative particle dynamics, trajectory-based rare event simulations, and understanding metal/metal electrical contact conductance from the atomic to continuum scales. Also included is a chapter on career opportunities in computational chemistry and an appendix listing the e-mail addresses of more than 2500 people in that discipline. FROM REVIEWS OF THE SERIES "Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry." —JOURNAL OF MOLECULAR GRAPHICS AND MODELLING "One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)." —JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Molecular Modeling and Prediction of Bioactivity
Much of chemistry, molecular biology, and drug design, are centered around the relationships between chemical structure and measured properties of compounds and polymers, such as viscosity, acidity, solubility, toxicity, enzyme binding, and membrane penetration. For any set of compounds, these relationships are by necessity complicated, particularly when the properties are of biological nature. To investigate and utilize such complicated relationships, henceforth abbreviated SAR for structure-activity relationships, and QSAR for quantitative SAR, we need a description of the variation in chemical structure of relevant compounds and biological targets, good measures of the biological properti...
