Issue 12, 2014
From the journal:

Nanoscale

Optimizing the selective recognition of protein isoforms through tuning of nanoparticle hydrophobicity†

Kaimin Chen,‡abc   Subinoy Rana,‡a   Daniel F. Moyano,a   Yisheng Xu,ab   Xuhong Guo*b  and  Vincent M. Rotello*a  

* Corresponding authors

a Department of Chemistry, University of Massachusetts at Amherst, Amherst, MA 01003, USA
E-mail: rotello@chem.umass.edu
Fax: +1-413-545-2058
Tel: +1-413-545-4490

b School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China

c Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, P. R. China

Abstract

We demonstrate that ligand hydrophobicity can be used to increase affinity and selectivity of binding between monolayer-protected cationic gold nanoparticles and β-lactoglobulin protein isoforms containing two amino acid mutations.

Graphical abstract: Optimizing the selective recognition of protein isoforms through tuning of nanoparticle hydrophobicity

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Article information

DOI
https://doi.org/10.1039/C4NR01085J
Article type
Communication
Submitted
26 Feb 2014
Accepted
28 Apr 2014
First published
30 Apr 2014

Nanoscale, 2014,6, 6492-6495

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Optimizing the selective recognition of protein isoforms through tuning of nanoparticle hydrophobicity

K. Chen, S. Rana, D. F. Moyano, Y. Xu, X. Guo and V. M. Rotello, Nanoscale, 2014, 6, 6492 DOI: 10.1039/C4NR01085J

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