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Most drugs bind to a clearly defined macromolecular target that is complementary in terms of structure and chemistry. This observation is the basic paradigm of structure-based ligand design. Although this method first emerged in the 1980s, it has already become a powerful tool for pharmaceutical research. Much has been learned, however, since the first attempts to discover drugs on the basis of available biochemical and structural data. Nowadays, structure-based ligand design is an established method for creating drugs with new structural features, for modifying binding activities and pharmacokinetic properties, and for elucidating binding modes and structure-activity relationships. This vol...
Computational molecular and materials modeling has emerged to deliver solid technological impacts in the chemical, pharmaceutical, and materials industries. It is not the all-predictive science fiction that discouraged early adopters in the 1980s. Rather, it is proving a valuable aid to designing and developing new products and processes. People create, not computers, and these tools give them qualitative relations and quantitative properties that they need to make creative decisions. With detailed analysis and examples from around the world, Applying Molecular and Materials Modeling describes the science, applications, and infrastructures that have proven successful. Computational quantum chemistry, molecular simulations, informatics, desktop graphics, and high-performance computing all play important roles. At the same time, the best technology requires the right practitioners, the right organizational structures, and - most of all - a clearly understood blend of imagination and realism that propels technological advances. This book is itself a powerful tool to help scientists, engineers, and managers understand and take advantage of these advances.
The rational, structure-based approach has become standard in present-day drug design. As a consequence, the availability of high-resolution structures of target proteins is more often than not the basis for an entire drug development program. Protein structures suited for rational drug design are almost exclusively derived from crystallographic studies, and drug developers are relying heavily on the power of this method. Here, researchers from leading pharmaceutical companies present valuable first-hand information, much of it published for the first time. They discuss strategies to derive high-resolution structures for such important target protein classes as kinases or proteases, as well as selected examples of successful protein crystallographic studies. A special section on recent methodological developments, such as for high-throughput crystallography and microcrystallization, is also included. A valuable companion for crystallographers involved in protein structure determination as well as drug developers pursuing the structure-based approach for use in their daily work.
Seit vielen Jahren praxisbewährt! Auch dieser 18. Band der Reihe Reviews in Computational Chemistry gibt Studenten und Forschern einen Einblick in Rechenverfahren, die sie anwenden wollen, ohne daß die theoretischen Grundlagen zu ihrem Arbeitsgebiet gehören. Das methodische Spektrum umfaßt Molecular Modeling, Quantenchemie, CAMD, QSAR, Molekülmechanik und -dynamik. Mit einem Autoren- und einem Stichwortverzeichnis sowie einer ausführlichen Softwareliste, die Hunderte von Programmen, Dienstleistungen und Anbietern umfaßt.
Progress in medicinal chemistry and in drug design depends on our ability to understand the interactions of drugs with their biological targets. Classical QSAR studies describe biological activity in terms of physicochemical properties of substituents in certain positions of the drug molecules. The purpose of this book is twofold: On the one hand, both the novice and the experienced user will be introduced to the theory and application of 3D QSAR analyses, and on the other, a comprehensive overview of the scope and limitations of these methods is given. The detailed discussion of the present state of the art should enable scientists to further develop and improve these powerful new tools. Th...
The lock-and-key principle formulated by Emil Fischer as early as the end of the 19th century has still not lost any of its significance for the life sciences. The basic aspects of ligand-protein interaction may be summarized under the term 'molecular recognition' and concern the specificity as well as stability of ligand binding. Molecular recognition is thus a central topic in the development of active substances, since stability and specificity determine whether a substance can be used as a drug. Nowadays, computer-aided prediction and intelligent molecular design make a large contribution to the constant search for, e. g., improved enzyme inhibitors, and new concepts such as that of pharmacophores are being developed. An up-to-date presentation of an eternally young topic, this book is an indispensable information source for chemists, biochemists and pharmacologists dealing with the binding of ligands to proteins.
Computer-assisted techniques are well-integrated in modern drug discovery and used for the finding of new leads, the optimization of receptor or enzyme affinity, as well as of pharmacokinetic and physicochemical properties. In this book an account is found of current strategies used in computer-assisted drug design. Important topics include progress in chemometrics, molecular modeling and three-dimensional QSAR approaches. Relatively new mathematical methods such as genetic algorithms or artificial neural networks and fuzzy logic have found their application in rational molecular design. As is amply illustrated, based on recent developments in these disciplines, important progress has been made in lead finding strategies. This is of great importance to the pharmaceutical industry. Thus, all scientists investigating quantitative structure-activity relationships in their broadest sense, in medicinal, agricultural, or environmental chemistry will benefit from this book.
Recent progress in high-throughput screening, combinatorial chemistry and molecular biology has radically changed the approach to drug discovery in the pharmaceutical industry. New challenges in synthesis result in new analytical methods. At present, typically 100,000 to one million molecules have to be tested within a short period and, therefore, highly effective screening methods are necessary for today's researchers - preparing and characterizing one compound after another belongs to the past. Intelligent, computer-based search agents are needed and "virtual screening" provides solutions to many problems. Such screening comprises innovative computational techniques designed to turn raw da...