2018, ISBN: 9402414827
[EAN: 9789402414820], Neubuch, [SC: 0.0], [PU: Springer Springer Netherlands Jul 2018], DATABASES, SECONDARY STRUCTURE, ALGORITHMS, BIOINFORMATICS, CLASSIFICATION, GENE ONTOLOGY, Neuware … Meer...
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ISBN: 9789402414820
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2018, ISBN: 9789402414820
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2018, ISBN: 9789402414820
[ED: 2], Softcover reprint of the original 2nd ed. 2017, Softcover, Buch, [PU: Springer]
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2018, ISBN: 9402414827
[EAN: 9789402414820], Neubuch, [SC: 0.0], [PU: Springer Springer Netherlands Jul 2018], DATABASES, SECONDARY STRUCTURE, ALGORITHMS, BIOINFORMATICS, CLASSIFICATION, GENE ONTOLOGY, Neuware … Meer...
ISBN: 9789402414820
This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein fun… Meer...
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2018
ISBN: 9789402414820
This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein fun… Meer...
2018, ISBN: 9789402414820
[ED: 2], Softcover reprint of the original 2nd ed. 2017, Softcover, Buch, [PU: Springer]
ISBN: 9789402414820
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Gedetalleerde informatie over het boek. - From Protein Structure to Function with Bioinformatics
EAN (ISBN-13): 9789402414820
ISBN (ISBN-10): 9402414827
pocket book
Verschijningsjaar: 2018
Uitgever: Springer
Boek bevindt zich in het datenbestand sinds 2019-09-13T22:03:35+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2020-11-30T20:15:32+01:00 (Amsterdam)
ISBN/EAN: 9789402414820
ISBN - alternatieve schrijfwijzen:
94-024-1482-7, 978-94-024-1482-0
Gegevens van de uitgever
Auteur: Daniel J. Rigden
Titel: From Protein Structure to Function with Bioinformatics
Uitgeverij: Springer; Springer Netherland
503 Bladzijden
Verschijningsjaar: 2018-07-25
Dordrecht; NL
Gedrukt / Gemaakt in
Taal: Engels
320,99 € (DE)
329,99 € (AT)
354,00 CHF (CH)
POD
XV, 503 p. 86 illus., 75 illus. in color.
BC; Hardcover, Softcover / Biologie/Biochemie, Biophysik; Biochemie; Verstehen; Gene Ontology; Secondary Structure; Algorithms; Bioinformatics; Classification; Databases; Protein Biochemistry; Biomedical Research; Bioinformatics; Computational and Systems Biology; Medizinische Forschung; DV-gestützte Biologie/Bioinformatik; BB
This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins.
methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously.
This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.
ab initioProtein Structure Prediction.- Protein structures, interactions and function from evolutionary couplings.-Fold Recognition.- Comparative protein structure modelling.- Advances in computational methods for transmembrane protein structure prediction.- Bioinformatics approaches to the structure and function of intrinsically disordered proteins.- Prediction of Protein Aggregation and Amyloid Formation.- Prediction of biomolecular complexes.- Function Diversity within Folds and Superfamilies.- Function prediction using patches, pockets and other surface properties.- 3D Motifs.- Protein Dynamics: From Structure to Function.- Integrated servers for structure-informed function prediction.- Case Studies: Function Predictions Of Structural Genomics Results.- Prediction of protein function from theoretical models.- Index.
Ab InitioThis book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins.
methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystalstructures and protein models, providing numerous examples of real-world usage of the methods mentioned previously.
This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.
ab initioComprehensively covers all recent developments in structure-based function prediction of proteins Contains abundant links to publicly available resources Genuinely world class roster of authors Includes full coverage of techniques to generate and infer model protein structures Separate chapters of case studies illustrate current practice in structure-based function prediction Includes supplementary material: sn.pub/extras
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