Daniel john rigden (4 Ergebnisse)
"Most Of The Good Stuff:" Memories Of Richard Feynman
Laurie M. Brown; John S. Rigden (Editors); John Archibald Wheeler, Hans Albrecht Bethe, Freeman J. Dyson, Laurie M. Brown, Julian Schwinger, Murray Gell-Mann, James D. Bjorken, David Pines, David L. Goodstein, Michael Cohen, Marvin L. Goldberger, W. Daniel Hillis, John S. Rigden, Valentine L. Telegdi, Joan Feynman
- Hardcover
- Erstausgabe
Anbieter: Arroyo Seco Books, Pasadena, Member IOBA, Pasadena, USAArroyo Seco Books, Pasadena, Member IOBA
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EUR 26,00
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Hardcover. Zustand: Very Good. 1st Edition. 181 Pp. Hardcover. Gift Inscription. First Printing (No Later Printing Indicated, No Number Line). Color Faded On Spine But Lettering Clear. Small Fray At Lower Front Tip.
- Softcover
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EUR 114,45
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Taschenbuch. Zustand: Neu. From Protein Structure to Function with Bioinformatics | Daniel John Rigden | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9789048180585 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 180,34
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Paperback. Zustand: Brand New. 344 pages. 9.00x6.00x0.81 inches. In Stock.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 137,72
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction wi…th other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.
