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  • Gromiha, Michael

    Published by Academic Pr, 2010

    ISBN 10: 8131222977 ISBN 13: 9788131222973

    Language: English

    Seller: Revaluation Books, Exeter, United Kingdom

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    Paperback. Condition: Brand New. 1st edition. 339 pages. 9.53x7.32x0.63 inches. In Stock.

  • Unbekannt

    Published by Springer-Verlag GmbH, 2008

    ISBN 10: 1402090579 ISBN 13: 9781402090578

    Language: English

    Seller: Buchpark, Trebbin, Germany

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    Condition: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher.

  • Daniel John Rigden,Daniel John (EDT) Rigden

    Published by Springer Verlag, 2009

    ISBN 10: 1402090579 ISBN 13: 9781402090578

    Language: English

    Seller: Anis Press, Walnut Creek, CA, U.S.A.

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    Hardcover. Condition: Fine.

  • Daniel John Rigden

    Published by Springer Netherlands, Springer Netherlands, 2010

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

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    Taschenbuch. Condition: 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 with 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.

  • Published by Springer Netherlands, 2008

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: Revaluation Books, Exeter, United Kingdom

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    Paperback. Condition: Brand New. 344 pages. 9.00x6.00x0.81 inches. In Stock.

  • Published by Springer, 2010

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: Mispah books, Redhill, SURRE, United Kingdom

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    Paperback. Condition: Like New. Like New. book.

  • Daniel J. Rigden

    Published by Springer Netherlands, Springer Netherlands, 2018

    ISBN 10: 9402414827 ISBN 13: 9789402414820

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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.

  • Daniel J. Rigden

    Published by Springer Netherlands, Springer Netherlands, 2017

    ISBN 10: 9402410678 ISBN 13: 9789402410679

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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.

  • Daniel J. Rigden

    Published by Springer Netherlands, Springer Netherlands Jul 2018, 2018

    ISBN 10: 9402414827 ISBN 13: 9789402414820

    Language: English

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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    Taschenbuch. Condition: Neu. Neuware -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.The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 520 pp. Englisch.

  • Daniel J. Rigden

    Published by Springer Netherlands, Springer Netherlands Apr 2017, 2017

    ISBN 10: 9402410678 ISBN 13: 9789402410679

    Language: English

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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    Buch. Condition: Neu. Neuware -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.The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 520 pp. Englisch.

  • Published by Springer, 2017

    ISBN 10: 9402410678 ISBN 13: 9789402410679

    Language: English

    Seller: Mispah books, Redhill, SURRE, United Kingdom

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    Hardcover. Condition: New. New. book.

  • Daniel John Rigden

    Published by Springer Netherlands Nov 2010, 2010

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 with 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. 344 pp. Englisch.

  • Rigden, Daniel John

    Published by Springer Netherlands, 2010

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: moluna, Greven, Germany

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively covers all recent developments in structure-based function prediction of proteinsContains abundant links to publicly available resourcesGenuinely world class roster of authorsIncludes full coverage of techniques to ge.

  • Daniel John Rigden

    Published by Springer Netherlands, Springer Netherlands Nov 2010, 2010

    ISBN 10: 9048180589 ISBN 13: 9789048180585

    Language: English

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 with 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.

  • Rigden, Daniel J.

    Published by Springer Netherlands, 2018

    ISBN 10: 9402414827 ISBN 13: 9789402414820

    Language: English

    Seller: moluna, Greven, Germany

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively covers all recent developments in structure-based function prediction of proteinsContains abundant links to publicly available resourcesGenuinely world class roster of authorsIncludes full coverage of .

  • Rigden, Daniel J.

    Published by Springer Netherlands, 2017

    ISBN 10: 9402410678 ISBN 13: 9789402410679

    Language: English

    Seller: moluna, Greven, Germany

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively covers all recent developments in structure-based function prediction of proteinsContains abundant links to publicly available resourcesGenuinely world class roster of authorsIncludes full coverage of .

  • Daniel J. Rigden

    Published by Springer Netherlands Jul 2018, 2018

    ISBN 10: 9402414827 ISBN 13: 9789402414820

    Language: English

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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. 520 pp. Englisch.

  • Daniel J. Rigden

    Published by Springer Netherlands Apr 2017, 2017

    ISBN 10: 9402410678 ISBN 13: 9789402410679

    Language: English

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio 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. 520 pp. Englisch.