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Dual-Surface Modification of the Tobacco Mosaic Virus

Schlick, Tara L., Ding, Zhebo, Kovacs, Ernest W., Francis, Matthew B.·2005·Journal of the American Chemical Society

Abstract

The protein shell of the tobacco mosaic virus (TMV) provides a robust and practical tubelike scaffold for the preparation of nanoscale materials. To expand the range of applications for which the capsid can be used, two synthetic strategies have been developed for the attachment of new functionality to either the exterior or the interior surface of the virus. The first of these is accomplished using a highly efficient diazonium coupling/oxime formation sequence, which installs >2000 copies of a material component on the capsid exterior. Alternatively, the inner cavity of the tube can be modified by attaching amines to glutamic acid side chains through a carbodiimide coupling reaction. Both of these reactions have been demonstrated for a series of substrates, including biotin, chromophores, and crown ethers. Through the attachment of PEG polymers to the capsid exterior, organic-soluble TMV rods have been prepared. Finally, the orthogonality of these reactions has been demonstrated by installing different functional groups on the exterior and interior surfaces of the same capsid assemblies.

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Metadata

Authors
Schlick, T. L., Ding, Z., Kovacs, E. W., & Francis, M. B.
Venue
Journal of the American Chemical Society
Published
2005-02-23
Volume
127
Issue
11
Pages
3718-3723
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2071300717
Cited by
516
References
0
FWCI
16.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dual-Surface Modification of the Tobacco Mosaic Virus. https://app.cochat.ai/papers/10.1021/ja046239n
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Schlick, T. L., Ding, Z., Kovacs, E. W., & Francis, M. B. (2005). Dual-Surface Modification of the Tobacco Mosaic Virus. Journal of the American Chemical Society. https://doi.org/10.1021/ja046239n

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.