The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Monitoring and Inhibition of Insulin Fibrillation by a Small Organic Fluorogen with Aggregation-Induced Emission Characteristics
Abstract
Amyloid fibrillation of proteins is associated with a great variety of pathologic conditions. Development of new molecules that can monitor amyloidosis kinetics and inhibit fibril formation is of great diagnostic and therapeutic value. In this work, we have developed a biocompatible molecule that functions as an ex situ monitor and an in situ inhibitor for protein fibrillation, using insulin as a model protein. 1,2-Bis[4-(3-sulfonatopropoxyl)phenyl]-1,2-diphenylethene salt (BSPOTPE) is nonemissive when it is dissolved with native insulin in an incubation buffer but starts to fluoresce when it is mixed with preformed insulin fibril, enabling ex situ monitoring of amyloidogenesis kinetics and high-contrast fluorescence imaging of protein fibrils. Premixing BSPOTPE with insulin, on the other hand, inhibits the nucleation process and impedes the protofibril formation. Increasing the dose of BSPOTPE boosts its inhibitory potency. Theoretical modeling using molecular dynamics simulations and docking reveals that BSPOTPE is prone to binding to partially unfolded insulin through hydrophobic interaction of the phenyl rings of BSPOTPE with the exposed hydrophobic residues of insulin. Such binding is assumed to have stabilized the partially unfolded insulin and obstructed the formation of the critical oligomeric species in the protein fibrillogenesis process.
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Cites
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W., & Klein, M. L. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 41,298
Molecular dynamics with coupling to an external bath
Berendsen, H. J. C., Postma, J. P. M., van Gunsteren, W. F., DiNola, A., & Haak, J. R. (1984) · The Journal of Chemical Physics · doi:10.1063/1.448118 · Cited by 30,700
Particle mesh Ewald: An N ⋅log( N ) method for Ewald sums in large systems
Darden, T., York, D., & Pedersen, L. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464397 · Cited by 30,546
A smooth particle mesh Ewald method
Essmann, U., Perera, L., Berkowitz, M. L., Darden, T., Lee, H., & Pedersen, L. G. (1995) · The Journal of Chemical Physics · doi:10.1063/1.470117 · Cited by 22,514
LINCS: A linear constraint solver for molecular simulations
Hess, B., Bekker, H., Berendsen, H. J. C., & Fraaije, J. G. E. M. (1997) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199709)18:12<1463::aid-jcc4>3.0.co;2-h · Cited by 18,260
Canonical sampling through velocity rescaling
Bussi, G., Donadio, D., & Parrinello, M. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2408420 · Cited by 18,089
GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Hess, B., Kutzner, C., van der Spoel, D., & Lindahl, E. (2008) · Journal of Chemical Theory and Computation · doi:10.1021/ct700301q · Cited by 15,908
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Aggregation-induced emission of 1-methyl-1,2,3,4,5-pentaphenylsilole
Luo, J., Xie, Z., Lam, J. W. Y., Cheng, L., Tang, B. Z., Chen, H., Qiu, C., Kwok, H. S., Zhan, X., Liu, Y., et al. (2001) · Chemical Communications · doi:10.1039/b105159h · Cited by 8,358
Self-citationComparison of multiple Amber force fields and development of improved protein backbone parameters
Hornak, V., Abel, R., Okur, A., Strockbine, B., Roitberg, A., & Simmerling, C. (2006) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.21123 · Cited by 6,914
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Aggregation-Induced Emission: Together We Shine, United We Soar!
Mei, J., Leung, N. L. C., Kwok, R. T. K., Lam, J. W. Y., & Tang, B. Z. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00263 · Cited by 8,270
Self-citationAggregation‐Induced Emission: The Whole Is More Brilliant than the Parts
Mei, J., Hong, Y., Lam, J. W. Y., Qin, A., Tang, Y., & Tang, B. Z. (2014) · Advanced Materials · doi:10.1002/adma.201401356 · Cited by 3,381
Self-citationBiosensing by luminogens with aggregation-induced emission characteristics
Kwok, R. T. K., Leung, C. W. T., Lam, J. W. Y., & Tang, B. Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00325j · Cited by 1,296
Self-citationPhotochromic Materials: More Than Meets The Eye
Zhang, J., Zou, Q., & Tian, H. (2013) · Advanced Materials · doi:10.1002/adma.201201521 · Cited by 1,046
Zhao, Z., Lam, J. W. Y., & Tang, B. Z. (2012) · Journal of Materials Chemistry · doi:10.1039/c2jm31949g · Cited by 867
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Metadata
- Authors
- Hong, Y., Meng, L., Chen, S., Leung, C. W. T., Da, L.-T., Faisal, M., Silva, D.-A., Liu, J., Lam, J. W. Y., Huang, X., & Tang, B. Z.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-01-10
- Volume
- 134
- Issue
- 3
- Pages
- 1680-1689
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2001974127
- Cited by
- 388
- References
- 87
- FWCI
- 16.18
- Type
- journal article
- Language
- en
- Open access
- closed
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