The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exploiting Amyloid Fibril Lamination for Nanotube Self-Assembly
Abstract
Fundamental questions about the relative arrangement of the beta-sheet arrays within amyloid fibrils remain central to both its structure and the mechanism of self-assembly. Recent computational analyses suggested that sheet-to-sheet lamination was limited by the length of the strand. On the basis of this hypothesis, a short seven-residue segment of the Alzheimer's disease-related Abeta peptide, Abeta(16-22), was allowed to self-assemble under conditions that maintained the basic amphiphilic character of Abeta. Indeed, the number increased over 20-fold to 130 laminates, giving homogeneous bilayer structures that supercoil into long robust nanotubes. Small-angle neutron scattering and X-ray scattering defined the outer and inner radii of the nanotubes in solution to contain a 44-nm inner cavity with 4-nm-thick walls. Atomic force microscopy and transmission electron microscopy images further confirmed these homogeneous arrays of solvent-filled nanotubes arising from a flat rectangular bilayer, 130 nm wide x 4 nm thick, with each bilayer leaflet composed of laminated beta-sheets. The corresponding backbone H-bonds are along the long axis, and beta-sheet lamination defines the 130-nm bilayer width. This bilayer coils to give the final nanotube. Such robust and persistent self-assembling nanotubes with positively charged surfaces of very different inner and outer curvature now offer a unique, robust, and easily accessible scaffold for nanotechnology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Cited by
Challenges and breakthroughs in recent research on self-assembly
Ariga, K., Hill, J. P., Lee, M. V., Vinu, A., Charvet, R., & Acharya, S. (2008) · Science and Technology of Advanced Materials · doi:10.1088/1468-6996/9/1/014109 · Cited by 759
Nguyen, P. H., Ramamoorthy, A., Sahoo, B. R., Zheng, J., Faller, P., Straub, J. E., Dominguez, L., Shea, J.-E., Dokholyan, N. V., De Simone, A., et al. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01122 · Cited by 678
Amyloid Polymorphism in the Protein Folding and Aggregation Energy Landscape
Adamcik, J., & Mezzenga, R. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201713416 · Cited by 346
Petkova, A. T., Buntkowsky, G., Dyda, F., Leapman, R. D., Yau, W.-M., & Tycko, R. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.10.044 · Cited by 314
Self-assembling peptide nanotubes
Scanlon, S., & Aggeli, A. (2008) · Nano Today · doi:10.1016/s1748-0132(08)70041-0 · Cited by 293
Bentea, L., Watzky, M. A., & Finke, R. G. (2017) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.6b12021 · Cited by 154
Pan, Y.-X., Cong, H.-P., Men, Y.-L., Xin, S., Sun, Z.-Q., Liu, C.-J., & Yu, S.-H. (2015) · ACS Nano · doi:10.1021/acsnano.5b04884 · Cited by 84
Metadata
- Authors
- Lu, K., Jacob, J., Thiyagarajan, P., Conticello, V. P., & Lynn, D. G.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-05-01
- Volume
- 125
- Issue
- 21
- Pages
- 6391-6393
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2091029987
- Cited by
- 352
- References
- 1
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.