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Protein-based Engineered Nanostructures

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Attention for Chapter 9: Design of Self-Assembling Protein-Polymer Conjugates.
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Chapter title
Design of Self-Assembling Protein-Polymer Conjugates.
Chapter number 9
Book title
Protein-based Engineered Nanostructures
Published in
Advances in experimental medicine and biology, September 2016
DOI 10.1007/978-3-319-39196-0_9
Pubmed ID
Book ISBNs
978-3-31-939194-6, 978-3-31-939196-0
Authors

Nathan A. Carter, Xi Geng, Tijana Z. Grove

Editors

Aitziber L. Cortajarena, Tijana Z. Grove

Abstract

Protein-polymer conjugates are of particular interest for nanobiotechnology applications because of the various and complementary roles that each component may play in composite hybrid-materials. This chapter focuses on the design principles and applications of self-assembling protein-polymer conjugate materials. We address the general design methodology, from both synthetic and genetic perspective, conjugation strategies, protein vs. polymer driven self-assembly and finally, emerging applications for conjugate materials. By marrying proteins and polymers into conjugated bio-hybrid materials, materials scientists, chemists, and biologists alike, have at their fingertips a vast toolkit for material design. These inherently hierarchical structures give rise to useful patterning, mechanical and transport properties that may help realize new, more efficient materials for energy generation, catalysis, nanorobots, etc.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Master 2 25%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Engineering 2 25%
Chemistry 2 25%
Physics and Astronomy 1 13%
Unknown 1 13%