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Protein Design

Overview of attention for book
Cover of 'Protein Design'

Table of Contents

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    Book Overview
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    Chapter 1 De Novo Design of Stable α-Helices
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    Chapter 2 Design of Monomeric Water-Soluble β-Hairpin and β-Sheet Peptides
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    Chapter 3 Combination of theoretical and experimental approaches for the design and study of fibril-forming peptides.
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    Chapter 4 Posttranslational Incorporation of Noncanonical Amino Acids in the RNase S System by Semisynthetic Protein Assembly
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    Chapter 5 Design, Synthesis, and Study of Fluorinated Proteins
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    Chapter 6 High-quality combinatorial protein libraries using the binary patterning approach.
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    Chapter 7 Methods for Library-Scale Computational Protein Design
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    Chapter 8 Symmetric Protein Architecture in Protein Design: Top-Down Symmetric Deconstruction
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    Chapter 9 Identification of Protein Scaffolds for Enzyme Design Using Scaffold Selection
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    Chapter 10 Computational Design of Novel Enzymes Without Cofactors
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    Chapter 11 De Novo Design of Peptide Scaffolds as Novel Preorganized Ligands for Metal-Ion Coordination
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    Chapter 12 Computational Design of Metalloproteins
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    Chapter 13 Incorporation of Modified and Artificial Cofactors into Naturally Occurring Protein Scaffolds
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    Chapter 14 Computational Redesign of Metalloenzymes for Catalyzing New Reactions.
Attention for Chapter 8: Symmetric Protein Architecture in Protein Design: Top-Down Symmetric Deconstruction
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Citations

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Chapter title
Symmetric Protein Architecture in Protein Design: Top-Down Symmetric Deconstruction
Chapter number 8
Book title
Protein Design
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1486-9_8
Pubmed ID
25213415
Book ISBNs
978-1-4939-1485-2, 978-1-4939-1486-9
Authors

Liam M. Longo, Michael Blaber

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 3 27%
Other 2 18%
Professor 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 55%
Agricultural and Biological Sciences 2 18%
Unknown 3 27%

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