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Zustand: Good. 192 pp., Hardcover, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Hard Cover. Zustand: Good. LIKE NEW. Fine looking in new looking condition. Brand-new book in the hard cover. Just a bit of shelf wear to the covers. Excellent all the way! A remarkable addition to your library.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 472 Illus.

hardcover. Zustand: Gut. 453 Seiten; 9781588296993.3 Gewicht in Gramm: 1.

Zustand: New. pp. 312.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Gut. Zustand: Gut | Seiten: 460 | Sprache: Englisch | Produktart: Bücher | Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics. This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology.The volume is conveniently divided into four sections. The first section, Databases, details various immunoinformatic databases, including IMGT/HLA, IPD, and SYEPEITHI. In the second section, Defining HLA Supertypes, authors discuss supertypes of GRID/CPCA and hierarchical clustering methods, Hla-Ad supertypes, MHC supertypes, and Class I Hla Alleles. The third section, Predicting Peptide-MCH Binding, includes discussions of MCH binders, T-Cell epitopes, Class I and II Mouse Major Histocompatibility, and HLA-peptide binding. Within the fourth section, Predicting Other Properties of Immune Systems, investigators outline TAP binding, B-cell epitopes, MHC similarities, and predicting virulence factors of immunological interest.Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the computer-based science professional into one easy-to-use, insightful volume.

Paperback. Zustand: Brand New. 1st edition. 292 pages. 9.25x6.50x0.75 inches. In Stock.

Zustand: New. The recent expansion in genome data and the parallel increase in cheap computing power has placed the bioinformatics exploration of pathogen genomes centre stage for vaccine researchers. The book shows how bioinformatic techniques can solve key problems from vaccinology and immunology. Num Pages: 312 pages, Illustrations. BIC Classification: MBF; MBN; PSB. Category: (P) Professional & Vocational. Dimension: 244 x 171 x 17. Weight in Grams: 528. . 2008. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New. In.

Zustand: New. In.

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Zustand: New. In.

Taschenbuch. Zustand: Neu. Immunoinformatics | Predicting Immunogenicity in Silico | Darren R Flower | Taschenbuch | xv | Englisch | 2010 | Humana Press | EAN 9781617377259 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines | Yvonne Perrie (u. a.) | Taschenbuch | x | Englisch | 2015 | Springer New York | EAN 9781489997951 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. In Silico Immunology | Jon Timmis (u. a.) | Taschenbuch | xviii | Englisch | 2010 | Springer US | EAN 9781441942647 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Neuware - Pharmaceutical research draws on increasingly complex techniques to solve the challenges of drug design. Bringing together a number of the latest informatics techniques, this book looks at modelling and bioinformatic strategies; structural genomics and X-ray crystallography; virtual screening; lead optimisation; ADME profiling and vaccine design. A number of relevant case studies, focussing on techniques that have demonstrated their use, will concentrate on G-protein coupled receptors as potential disease targets. Providing details of state-of-the-art research, Drug Design: Cutting Edge Approaches will be invaluable to all drug discovery scientists, including medicinal and combinatorial chemists, molecular modellers, bio- and chemoinformaticians, and pharmacologists, amongst others. University and pharmaceutical company libraries will also benefit from having a copy on their shelves.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | This volume will address an important emergent area within the field of immunomics: the discovery of antigens and adjuvants within the context of reverse vaccinology. Conventional approaches to vaccine design and development requires pathogens to be cultivated in the laboratory and the immunogenic molecules within them to be identifiable. Conventional vaccinology is no longer universally successful, particularly for recalcitrant pathogens. By using genomic information we can study vaccine development in silico: 'reverse vaccinology', can identify candidate subunits vaccines by identifying antigenic proteins and by using equally rational approaches to identify novel immune response-enhancing adjuvants.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume will address an important emergent area within the field of immunomics: the discovery of antigens and adjuvants within the context of reverse vaccinology. Conventional approaches to vaccine design and development requires pathogens to be cultivated in the laboratory and the immunogenic molecules within them to be identifiable. Conventional vaccinology is no longer universally successful, particularly for recalcitrant pathogens. By using genomic information we can study vaccine development in silico: 'reverse vaccinology', can identify candidate subunits vaccines by identifying antigenic proteins and by using equally rational approaches to identify novel immune response-enhancing adjuvants. Vaccine discovery is one of the most exciting and fast-moving areas of applied science. Since Edward Jenner s work in the 18th century, vaccines have transformed health across the globe. Bringing together clinical, experimental, and computational disciplines vaccinology addresses the most pressing needs of 21st century health-care: the great infectious diseases threatening the developing world, such as HIV, Malaria, and TB; and chronic diseases, such as dementia, threatening the developed world. This volume seeks to expand the horizons of vaccine design and discovery by highlighting cutting edge work in three areas of vaccinology: the rational discovery of subunit vaccines, the identification of adjuvants, and the delivery of vaccines via state-of-the-art nanotechnology.

Gebunden. Zustand: New.

Zustand: New.

Gebunden. Zustand: New. In silico Immunology summarizes the three different disciplines now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS)It will address the i.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume will address an important emergent area within the field of immunomics: the discovery of antigens and adjuvants within the context of reverse vaccinology. Conventional approaches to vaccine design and development requires pathogens to be cultivated in the laboratory and the immunogenic molecules within them to be identifiable. Conventional vaccinology is no longer universally successful, particularly for recalcitrant pathogens. By using genomic information we can study vaccine development in silico: 'reverse vaccinology', can identify candidate subunits vaccines by identifying antigenic proteins and by using equally rational approaches to identify novel immune response-enhancing adjuvants.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being properly explored and exploited, between immunol ogy and computational science. This area of intersection we christen in silico immunology. Immunology is an inspiration for computational scientists seek ing practical and philosophical metaphors for their work; but, at the same time, it is itself a biological discipline of such discombobulating complexity that only computational help as different as simulation and data warehousing can make its modern study tractable. Thus immunology both inspires but also requires computational science. This book deals in detail with the three main areas of in silico immunology: theoretical immunology, immunoinformatics, and artificial immune systems. While all of these are now well-established the interactions between the three are only beginning to be developed. It is a truly exciting time to be working in in silicio immunology. We are reaching a critical mass that will enable great strides to be taken and significant achievements to be made. Like David Hume, we may yet come to regret that this book falls still born from the press but we hope not. Hopefully it will instead strike a cord and tap into a burgeoning Zeitgeist ready to capitalise on the remarkable potential that is in silico immunology.

Hardcover. Zustand: Brand New. 1st edition. 314 pages. 9.25x6.25x1.00 inches. In Stock.

Zustand: New. Editor(s): Flower, Darren R. Series: Methods in Molecular Biology. Num Pages: 438 pages, 106 black & white illustrations, 5 colour illustrations, 30 black & white tables, biograp. BIC Classification: MFN; MJCM; PSA; PSF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 26. Weight in Grams: 671. . 2010. 1st ed. Softcover of orig. ed. 2007. Paperback. . . . . Books ship from the US and Ireland.