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Highly Specific Dual Enzyme-Mediated Payload Release from Peptide-Coated Silica Particles
Abstract
Stimuli-responsive gate mechanisms offer potential for the controlled passage of payload molecules from a porous carrier vehicle on-demand. We describe a method for the enzyme-mediated release of macromolecular guest molecules from inorganic silica particles coated with a bioactive peptide shell, synthesized precisely by Fmoc chemistry. Specific enzymatic hydrolysis of the peptide shell removes the bulky peptide-terminated Fmoc groups, permitting the selective release of previously entrapped guest molecules.
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Cited by
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Kamaly, N., Xiao, Z., Valencia, P. M., Radovic-Moreno, A. F., & Farokhzad, O. C. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15344k · Cited by 1,730
Croissant, J. G., Fatieiev, Y., Almalik, A., & Khashab, N. M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700831 · Cited by 594
Wang, X., Zhang, J., Wang, Y., Wang, C., Xiao, J., Zhang, Q., & Cheng, Y. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2015.11.037 · Cited by 411
Enzyme responsive materials: design strategies and future developments
Zelzer, M., Todd, S. J., Hirst, A. R., McDonald, T. O., & Ulijn, R. V. (2013) · Biomater. Sci. · doi:10.1039/c2bm00041e · Cited by 306
Song, Y., Li, Y., Xu, Q., & Liu, Z. (2016) · International Journal of Nanomedicine · doi:10.2147/ijn.s117495 · Cited by 258
Yang, Y., Liu, F., Liu, X., & Xing, B. (2013) · Nanoscale · doi:10.1039/c2nr32835f · Cited by 229
Metadata
- Authors
- Thornton, P. D., & Heise, A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-01-25
- Volume
- 132
- Issue
- 6
- Pages
- 2024-2028
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2001324101
- Cited by
- 160
- References
- 0
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
