Computational Protein Design by Ilan Samish: New

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Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Publication Date
2016-12-03
Pages
450
ISBN
9781493966356

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Product Identifiers

Publisher
Springer New York
ISBN-10
1493966359
ISBN-13
9781493966356
eBay Product ID (ePID)
234458297

Product Key Features

Book Title
Computational Protein Design
Number of Pages
Xii, 450 Pages
Language
English
Publication Year
2016
Topic
Life Sciences / Molecular Biology, Life Sciences / Biochemistry, Chemistry / Organic
Illustrator
Yes
Genre
Science
Author
Ilan Samish
Book Series
Methods in Molecular Biology Ser.
Format
Hardcover

Dimensions

Item Weight
356.2 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Intended Audience
Trade
LCCN
2016-959982
Dewey Edition
23
Series Volume Number
1529
Number of Volumes
1 vol.
Dewey Decimal
572/.60285
Synopsis
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., Part I: Computational Protein Design1. The Framework of Computational Protein DesignIlan Samish 2. Achievements and Challenges in Computational Protein DesignIlan Samish 3. Production of Computationally Designed Small Soluble- and Membrane-Proteins: Cloning, Expression and PurificationBarsha Tripathy and Rudresh Acharya 4. Deterministic Search methods for Computational Protein DesignSeydou Traoré, David Allouche, Isabelle André Thomas Schiex, and Sophie Barbe 5. 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-Recio 7. Multistate Computational Protein Design with Backbone EnsemblesJames A. Davey and Roberto A. Chica 8. 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. Branco 9. 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 Liu 11. Computational Protein Design Through Grafting and StabilizationCheng Zhu, David D. Mowrey, and Nikolay V. Dokholyan 12. An Evolution Based Approach to de novo Protein DesignJeffrey R. Brender, David Shultis, Naureen Aslam, and Yang Zhang 13. Parallel Computational Protein Design Yichao Zhou, Bruce R. Donald, and Jianyang Zeng 14. BindML/BindML+: Detecting Protein-Protein Interaction Interface Propensity from Amino Acid Substitution PatternsQing Wei, David La, and Daisuke Kihara 15. 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. Zhang 17. A Protocol for the Design of Protein and Peptide Nanostructure Self-assemblies Exploiting Synthetic Amino AcidsNurit Haspel, Jie Zheng, Carlos Aleman, David Zanuy, and Ruth Nussinov 18. Probing Oligomerized Conformations of Defensin in the MembraneWenxun Gan, Dina Schneidman, Ning Zhang, Buyong Ma, and Ruth Nussinov 19. Computational Design of Ligand Binding ProteinsChristine E. Tinberg and Sagar D. Khare 20. EpiSweep: Computationally-driven Reengineering of Therapeutic Proteins to Reduce Immunogenicity while Maintaining FunctionYoonjoo Choi, Deeptak Verma, Karl E. Griswold, and Chris Bailey-Kellogg 21. Computational Tools for Aiding Rational Antibody DesignKonrad Krawczyk, James Dunbar, and Charlotte M Deane 22. Computational Design of Membrane Curvature-Sensing PeptidesArmando Jerome de Jesus and Hang Yin 23. Computational Tools for Allosteric Drug Discovery: Site Identification and
LC Classification Number
QD431-431.7

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