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Computational Protein Design
Taschenbuch von Ilan Samish
Sprache: Englisch

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Beschreibung
The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.
The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Includes supplementary material: [...]

Inhaltsverzeichnis
Part I: Computational Protein Design1. The Framework of Computational Protein DesignIlan Samish2. Achievements and Challenges in Computational Protein DesignIlan Samish3. Production of Computationally Designed Small Soluble- and Membrane-Proteins: Cloning, Expression and PurificationBarsha Tripathy and Rudresh Acharya4. Deterministic Search methods for Computational Protein DesignSeydou Traoré, David Allouche, Isabelle André Thomas Schiex, and Sophie Barbe5. Geometric Potentials for Computational Protein Sequence DesignJie Li and Patrice Koehl 6. Modeling Binding Affinity of Pathological Mutations for Computational Protein DesignMiguel Romero-Durana, Chiara Pallara, Fabian Glaser, and Juan Fernández-Recio7. Multistate Computational Protein Design with Backbone EnsemblesJames A. Davey and Roberto A. Chica8. Integration of Molecular Dynamics Based Predictions into the Optimization of de novo Protein Designs: Limitations and BenefitsHenrique F. Carvalho, Arménio J. M. Barbosa, Ana C. A. Roque, Olga Iranzo, and Ricardo J. F. Branco9. Applications of Normal Mode Analysis Methods in Computational Protein DesignVincent Frappier, Matthieu Chartier, and Rafael NajmanovichPart II: Software of Computational Protein Design Applications10. Computational Protein Design Under a Given backbone Structure with a Statistical Energy FunctionPeng Xiong, Quan Chen, and Haiyan Liu11. Computational Protein Design Through Grafting and StabilizationCheng Zhu, David D. Mowrey, and Nikolay V. Dokholyan12. An Evolution Based Approach to de novo Protein DesignJeffrey R. Brender, David Shultis, Naureen Aslam, and Yang Zhang13. Parallel Computational Protein Design Yichao Zhou, Bruce R. Donald, and Jianyang Zeng14. BindML/BindML+: Detecting Protein-Protein Interaction Interface Propensity from Amino Acid Substitution PatternsQing Wei, David La, and Daisuke Kihara15. OSPREY Predicts Resistance Mutations using Positive and Negative Computational Protein DesignAdegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M. Reeve, Ivelin Georgiev, Amy C. Anderson, and Bruce R. DonaldPart III: Computational Protein Design of Specific Targets16. Evolution-inspired Computational Design of Symmetric ProteinsArnout R.D. Voet, David Simoncini, Jeremy R.H. Tame, and Kam Y. J. Zhang17. A Protocol for the Design of Protein and Peptide Nanostructure Self-assemblies Exploiting Synthetic Amino Acids
Details
Erscheinungsjahr: 2018
Fachbereich: Biophysik
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Methods in Molecular Biology
Inhalt: xii
450 S.
33 s/w Illustr.
111 farbige Illustr.
450 p. 144 illus.
111 illus. in color.
ISBN-13: 9781493982561
ISBN-10: 1493982567
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Samish, Ilan
Herausgeber: Ilan Samish
Auflage: Softcover reprint of the original 1st ed. 2017
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Methods in Molecular Biology
Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 254 x 178 x 25 mm
Von/Mit: Ilan Samish
Erscheinungsdatum: 28.06.2018
Gewicht: 0,866 kg
Artikel-ID: 114134523
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Includes supplementary material: [...]

Inhaltsverzeichnis
Part I: Computational Protein Design1. The Framework of Computational Protein DesignIlan Samish2. Achievements and Challenges in Computational Protein DesignIlan Samish3. Production of Computationally Designed Small Soluble- and Membrane-Proteins: Cloning, Expression and PurificationBarsha Tripathy and Rudresh Acharya4. Deterministic Search methods for Computational Protein DesignSeydou Traoré, David Allouche, Isabelle André Thomas Schiex, and Sophie Barbe5. Geometric Potentials for Computational Protein Sequence DesignJie Li and Patrice Koehl 6. Modeling Binding Affinity of Pathological Mutations for Computational Protein DesignMiguel Romero-Durana, Chiara Pallara, Fabian Glaser, and Juan Fernández-Recio7. Multistate Computational Protein Design with Backbone EnsemblesJames A. Davey and Roberto A. Chica8. Integration of Molecular Dynamics Based Predictions into the Optimization of de novo Protein Designs: Limitations and BenefitsHenrique F. Carvalho, Arménio J. M. Barbosa, Ana C. A. Roque, Olga Iranzo, and Ricardo J. F. Branco9. Applications of Normal Mode Analysis Methods in Computational Protein DesignVincent Frappier, Matthieu Chartier, and Rafael NajmanovichPart II: Software of Computational Protein Design Applications10. Computational Protein Design Under a Given backbone Structure with a Statistical Energy FunctionPeng Xiong, Quan Chen, and Haiyan Liu11. Computational Protein Design Through Grafting and StabilizationCheng Zhu, David D. Mowrey, and Nikolay V. Dokholyan12. An Evolution Based Approach to de novo Protein DesignJeffrey R. Brender, David Shultis, Naureen Aslam, and Yang Zhang13. Parallel Computational Protein Design Yichao Zhou, Bruce R. Donald, and Jianyang Zeng14. BindML/BindML+: Detecting Protein-Protein Interaction Interface Propensity from Amino Acid Substitution PatternsQing Wei, David La, and Daisuke Kihara15. OSPREY Predicts Resistance Mutations using Positive and Negative Computational Protein DesignAdegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M. Reeve, Ivelin Georgiev, Amy C. Anderson, and Bruce R. DonaldPart III: Computational Protein Design of Specific Targets16. Evolution-inspired Computational Design of Symmetric ProteinsArnout R.D. Voet, David Simoncini, Jeremy R.H. Tame, and Kam Y. J. Zhang17. A Protocol for the Design of Protein and Peptide Nanostructure Self-assemblies Exploiting Synthetic Amino Acids
Details
Erscheinungsjahr: 2018
Fachbereich: Biophysik
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Methods in Molecular Biology
Inhalt: xii
450 S.
33 s/w Illustr.
111 farbige Illustr.
450 p. 144 illus.
111 illus. in color.
ISBN-13: 9781493982561
ISBN-10: 1493982567
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Samish, Ilan
Herausgeber: Ilan Samish
Auflage: Softcover reprint of the original 1st ed. 2017
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Methods in Molecular Biology
Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 254 x 178 x 25 mm
Von/Mit: Ilan Samish
Erscheinungsdatum: 28.06.2018
Gewicht: 0,866 kg
Artikel-ID: 114134523
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