The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Amyloid β‐protein monomer structure: A computational and experimental study
Open accessAbstract
The structural properties of the Aβ42 peptide, a main constituent of the amyloid plaques formed in Alzheimer's disease, were investigated through a combination of ion‐mobility mass spectrometry and theoretical modeling. Replica exchange molecular dynamics simulations using a fully atomic description of the peptide and implicit water solvent were performed on the −3 charge state of the peptide, its preferred state under experimental conditions. Equilibrated structures at 300 K were clustered into three distinct families with similar structural features within a family and with significant root mean square deviations between families. An analysis of secondary structure indicates the Aβ42 peptide conformations are dominated by loops and turns but show some helical structure in the C‐terminal hydrophobic tail. A second calculation on Aβ42 in a solvent‐free environment yields compact structures turned “inside out” from the solution structures (hydrophobic parts on the outside, polar parts on the inside). Ion mobility experiments on the Aβ42 −3 charge state electrosprayed from solution yield a bimodal arrival time distribution. This distribution can be quantitatively fit using cross‐sections from dehydrated forms of the three families of calculated solution structures and the calculated solvent‐free family of structures. Implications of the calculations on the early stages of aggregation of Aβ42 are discussed.
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Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
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
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484
Diffusible, nonfibrillar ligands derived from Aβ 1–42 are potent central nervous system neurotoxins
Lambert, M. P., Barlow, A. K., Chromy, B. A., Edwards, C., Freed, R., Liosatos, M., Morgan, T. E., Rozovsky, I., Trommer, B., Viola, K. L., et al. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.6448 · Cited by 3,506
Oligomeric and fibrillar species of amyloid-β peptides differentially affect neuronal viability
Dahlgren, K. N., Manelli, A. M., Stine, W. B., Baker, L. K., Krafft, G. A., & LaDu, M. J. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m201750200 · Cited by 1,452
Amyloid β-Protein Fibrillogenesis
Walsh, D. M., Hartley, D. M., Kusumoto, Y., Fezoui, Y., Condron, M. M., Lomakin, A., Benedek, G. B., Selkoe, D. J., & Teplow, D. B. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.36.25945 · Cited by 1,046
Self-citationTargeting small Aβ oligomers: the solution to an Alzheimer's disease conundrum?
Klein, W. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01749-5 · Cited by 989
Wang, J., Dickson, D. W., Trojanowski, J. Q., & Lee, V. M.-Y. (1999) · Experimental Neurology · doi:10.1006/exnr.1999.7085 · Cited by 567
Oda, T., Wals, P., Osterburg, H. H., Johnson, S. A., Pasinetti, G. M., Morgan, T. E., Rozovsky, I., Stine, W. B., Snyder, S. W., Holzman, T. F., et al. (1995) · Experimental Neurology · doi:10.1006/exnr.1995.1080 · Cited by 352
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Benilova, I., Karran, E., & De Strooper, B. (2012) · Nature Neuroscience · doi:10.1038/nn.3028 · Cited by 1,962
Lanucara, F., Holman, S. W., Gray, C. J., & Eyers, C. E. (2014) · Nature Chemistry · doi:10.1038/nchem.1889 · Cited by 901
Ion mobility mass spectrometry of proteins and proteinassemblies
Uetrecht, C., Rose, R. J., van Duijn, E., Lorenzen, K., & Heck, A. J. R. (2010) · Chem. Soc. Rev. · doi:10.1039/b914002f · Cited by 462
Wyttenbach, T., & Bowers, M. T. (2011) · The Journal of Physical Chemistry B · doi:10.1021/jp206867a · Cited by 346
Self-citationProtein misfolding and aggregation in Alzheimer’s disease and type 2 diabetes mellitus
Ashraf, G., Greig, N., Khan, T., Hassan, I., Tabrez, S., Shakil, S., Sheikh, I., Zaidi, S., Akram, M., Jabir, N., et al. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666140917095514 · Cited by 236
Metadata
- Authors
- Baumketner, A., Bernstein, S. L., Wyttenbach, T., Bitan, G., Teplow, D. B., Bowers, M. T., & Shea, J.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2006-03
- Volume
- 15
- Issue
- 3
- Pages
- 420-428
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W1976545437
- Cited by
- 247
- References
- 10
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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