The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
The role of side-chain interactions in the early steps of aggregation: Molecular dynamics simulations of an amyloid-forming peptide from the yeast prion Sup35
Open accessAbstract
Understanding the early steps of aggregation at atomic detail might be crucial for the rational design of therapeutics preventing diseases associated with amyloid deposits. In this paper, aggregation of the heptapeptide GNNQQNY, from the N-terminal prion-determining domain of the yeast protein Sup35, was studied by 20 molecular dynamics runs for a total simulation time of 20 μs. The simulations generate in-register parallel packing of GNNQQNY β-strands that is consistent with x-ray diffraction and Fourier transform infrared data. The statistically preferred aggregation pathway does not correspond to a purely downhill profile of the energy surface because of the presence of enthalpic barriers that originate from out-of-register interactions. The parallel β-sheet arrangement is favored over the antiparallel because of side-chain contacts; in particular, stacking interactions of the tyrosine rings and hydrogen bonds between amide groups. No ordered aggregation was found in control simulations with the mutant sequence SQNGNQQRG in accord with experimental data and the strong sequence dependence of aggregation.
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Ryckaert, J.-P., Ciccotti, G., & Berendsen, H. J. C. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90098-5 · Cited by 21,239
CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., & Karplus, M. (1983) · Journal of Computational Chemistry · doi:10.1002/jcc.540040211 · Cited by 14,944
Inherent toxicity of aggregates implies a common mechanism for protein misfolding diseases
Bucciantini, M., Giannoni, E., Chiti, F., Baroni, F., Formigli, L., Zurdo, J., Taddei, N., Ramponi, G., Dobson, C. M., & Stefani, M. (2002) · Nature · doi:10.1038/416507a · Cited by 2,434
Protein misfolding, evolution and disease
Dobson, C. M. (1999) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(99)01445-0 · Cited by 1,952
Effective energy function for proteins in solution
Lazaridis, T., & Karplus, M. (1999) · Proteins: Structure, Function, and Genetics · doi:10.1002/(sici)1097-0134(19990501)35:2<133::aid-prot1>3.0.co;2-n · Cited by 1,269
A possible role for π‐stacking in the self‐assembly of amyloid fibrils
Gazit, E. (2002) · The FASEB Journal · doi:10.1096/fj.01-0442hyp · Cited by 1,133
Beglov, D., & Roux, B. (1994) · The Journal of Chemical Physics · doi:10.1063/1.466711 · Cited by 1,054
Arrest of -Amyloid Fibril Formation by a Pentapeptide Ligand
Tjernberg, L. O., Näslund, J., Lindqvist, F., Johansson, J., Karlström, A. R., Thyberg, J., Terenius, L., & Nordstedt, C. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.15.8545 · Cited by 963
[17] Analysis of protein aggregation kinetics
Ferrone, F. (1999) · Methods in Enzymology · doi:10.1016/s0076-6879(99)09019-9 · Cited by 539
Fast Kinetics and Mechanisms in Protein Folding
Eaton, W. A., Muñoz, V., Hagen, S. J., Jas, G. S., Lapidus, L. J., Henry, E. R., & Hofrichter, J. (2000) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.29.1.327 · Cited by 488
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Liu, X., Shi, D., Zhou, S., Liu, H., Liu, H., & Yao, X. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1403419 · Cited by 518
Monomer adds to preformed structured oligomers of Aβ-peptides by a two-stage dock–lock mechanism
Nguyen, P. H., Li, M. S., Stock, G., Straub, J. E., & Thirumalai, D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607440104 · Cited by 355
Interpreting the Aggregation Kinetics of Amyloid Peptides
Pellarin, R., & Caflisch, A. (2006) · Journal of Molecular Biology · doi:10.1016/j.jmb.2006.05.033 · Cited by 254
Self-citationPrediction of aggregation prone regions of therapeutic proteins
Chennamsetty, N., Voynov, V., Kayser, V., Helk, B., & Trout, B. L. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp911706q · Cited by 200
Qiao, Q., Bowman, G. R., & Huang, X. (2013) · Journal of the American Chemical Society · doi:10.1021/ja403147m · Cited by 182
Metadata
- Authors
- Gsponer, J., Haberthür, U., & Caflisch, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-04-16
- Volume
- 100
- Issue
- 9
- Pages
- 5154-5159
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2143678630
- Cited by
- 264
- References
- 30
- FWCI
- 7.61
- Type
- journal article
- Language
- en
- Open access
- green
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- Gsponer, J., Haberthür, U., & Caflisch, A. (2003). The role of side-chain interactions in the early steps of aggregation: Molecular dynamics simulations of an amyloid-forming peptide from the yeast prion Sup35. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0835307100
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