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Predicting Protein–Polymer Block Copolymer Self-Assembly from Protein Properties
[Image: see text] Protein–polymer bioconjugate self-assembly has attracted a great deal of attention as a method to fabricate protein nanomaterials in solution and the solid state. To identify protein properties that affect phase behavior in protein–polymer block copolymers, a library of 15 unique p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794641/ https://www.ncbi.nlm.nih.gov/pubmed/31502834 http://dx.doi.org/10.1021/acs.biomac.9b00768 |
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author | Huang, Aaron Paloni, Justin M. Wang, Amy Obermeyer, Allie C. Sureka, Hursh V. Yao, Helen Olsen, Bradley D. |
author_facet | Huang, Aaron Paloni, Justin M. Wang, Amy Obermeyer, Allie C. Sureka, Hursh V. Yao, Helen Olsen, Bradley D. |
author_sort | Huang, Aaron |
collection | PubMed |
description | [Image: see text] Protein–polymer bioconjugate self-assembly has attracted a great deal of attention as a method to fabricate protein nanomaterials in solution and the solid state. To identify protein properties that affect phase behavior in protein–polymer block copolymers, a library of 15 unique protein-b-poly(N-isopropylacrylamide) (PNIPAM) copolymers comprising 11 different proteins was compiled and analyzed. Many attributes of phase behavior are found to be similar among all studied bioconjugates regardless of protein properties, such as formation of micellar phases at high temperature and low concentration, lamellar ordering with increasing temperature, and disordering at high concentration, but several key protein-dependent trends are also observed. In particular, hexagonal phases are only observed for proteins within the molar mass range 20–36 kDa, where ordering quality is also significantly enhanced. While ordering is generally found to improve with increasing molecular weight outside of this range, most large bioconjugates exhibited weaker than predicted assembly, which is attributed to chain entanglement with increasing polymer molecular weight. Additionally, order–disorder transition boundaries are found to be largely uncorrelated to protein size and quality of ordering. However, the primary finding is that bioconjugate ordering can be accurately predicted using only protein molecular weight and percentage of residues contained within β sheets. This model provides a basis for designing protein–PNIPAM bioconjugates that exhibit well-defined self-assembly and a modeling framework that can generalize to other bioconjugate chemistries. |
format | Online Article Text |
id | pubmed-6794641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-67946412019-10-17 Predicting Protein–Polymer Block Copolymer Self-Assembly from Protein Properties Huang, Aaron Paloni, Justin M. Wang, Amy Obermeyer, Allie C. Sureka, Hursh V. Yao, Helen Olsen, Bradley D. Biomacromolecules [Image: see text] Protein–polymer bioconjugate self-assembly has attracted a great deal of attention as a method to fabricate protein nanomaterials in solution and the solid state. To identify protein properties that affect phase behavior in protein–polymer block copolymers, a library of 15 unique protein-b-poly(N-isopropylacrylamide) (PNIPAM) copolymers comprising 11 different proteins was compiled and analyzed. Many attributes of phase behavior are found to be similar among all studied bioconjugates regardless of protein properties, such as formation of micellar phases at high temperature and low concentration, lamellar ordering with increasing temperature, and disordering at high concentration, but several key protein-dependent trends are also observed. In particular, hexagonal phases are only observed for proteins within the molar mass range 20–36 kDa, where ordering quality is also significantly enhanced. While ordering is generally found to improve with increasing molecular weight outside of this range, most large bioconjugates exhibited weaker than predicted assembly, which is attributed to chain entanglement with increasing polymer molecular weight. Additionally, order–disorder transition boundaries are found to be largely uncorrelated to protein size and quality of ordering. However, the primary finding is that bioconjugate ordering can be accurately predicted using only protein molecular weight and percentage of residues contained within β sheets. This model provides a basis for designing protein–PNIPAM bioconjugates that exhibit well-defined self-assembly and a modeling framework that can generalize to other bioconjugate chemistries. American Chemical Society 2019-09-10 2019-10-14 /pmc/articles/PMC6794641/ /pubmed/31502834 http://dx.doi.org/10.1021/acs.biomac.9b00768 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Huang, Aaron Paloni, Justin M. Wang, Amy Obermeyer, Allie C. Sureka, Hursh V. Yao, Helen Olsen, Bradley D. Predicting Protein–Polymer Block Copolymer Self-Assembly from Protein Properties |
title | Predicting Protein–Polymer Block Copolymer
Self-Assembly from Protein Properties |
title_full | Predicting Protein–Polymer Block Copolymer
Self-Assembly from Protein Properties |
title_fullStr | Predicting Protein–Polymer Block Copolymer
Self-Assembly from Protein Properties |
title_full_unstemmed | Predicting Protein–Polymer Block Copolymer
Self-Assembly from Protein Properties |
title_short | Predicting Protein–Polymer Block Copolymer
Self-Assembly from Protein Properties |
title_sort | predicting protein–polymer block copolymer
self-assembly from protein properties |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794641/ https://www.ncbi.nlm.nih.gov/pubmed/31502834 http://dx.doi.org/10.1021/acs.biomac.9b00768 |
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