The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Prediction of Amyloid Fibril-forming Proteins
Open accessAbstract
In Alzheimer's disease and spongiform encephalopathies proteins transform from their native states into fibrils. We find that several amyloid-forming proteins harbor an alpha-helix in a polypeptide segment that should form a beta-strand according to secondary structure predictions. In 1324 nonredundant protein structures, 37 beta-strands with > or =7 residues were predicted in segments where the experimentally determined structures show helices. These discordances include the prion protein (helix 2, positions 179-191), the Alzheimer amyloid beta-peptide (Abeta, positions 16-23), and lung surfactant protein C (SP-C, positions 12-27). In addition, human coagulation factor XIII (positions 258-266), triacylglycerol lipase from Candida antarctica (positions 256-266), and d-alanyl-d-alanine transpeptidase from Streptomyces R61 (positions 92-106) contain a discordant helix. These proteins have not been reported to form fibrils but in this study were found to form fibrils in buffered saline at pH 7.4. By replacing valines in the discordant helical part of SP-C with leucines, an alpha-helix is found experimentally and by secondary structure predictions. This analogue does not form fibrils under conditions where SP-C forms abundant fibrils. Likewise, when Abeta residues 14-23 are removed or changed to a nondiscordant sequence, fibrils are no longer formed. We propose that alpha-helix/beta-strand-discordant stretches are associated with amyloid fibril formation.
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Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Improved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
Correlation Between Elevated Levels of Amyloid β-Peptide in the Brain and Cognitive Decline
Näslund, J. (2000) · JAMA · doi:10.1001/jama.283.12.1571 · Cited by 1,268
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
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Cited by
Kinetic Studies of Amyloid β-Protein Fibril Assembly
Fezoui, Y., & Teplow, D. B. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m204168200 · Cited by 342
Idicula‐Thomas, S., & Balaji, P. V. (2005) · Protein Science · doi:10.1110/ps.041009005 · Cited by 175
Broersen, K., Rousseau, F., & Schymkowitz, J. (2010) · Alzheimer's Research & Therapy · doi:10.1186/alzrt36 · Cited by 168
The Epigenetic Dimension of Protein Structure Is an Intrinsic Weakness of the AlphaFold Program
Azzaz, F., Yahi, N., Chahinian, H., & Fantini, J. (2022) · Biomolecules · doi:10.3390/biom12101527 · Cited by 53
Can Peptide Folding Simulations Provide Predictive Information for Aggregation Propensity?
Lin, E. I., & Shell, M. S. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp104114n · Cited by 12
Metadata
- Authors
- Kallberg, Y., Gustafsson, M., Persson, B., Thyberg, J., & Johansson, J.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2001-04
- Volume
- 276
- Issue
- 16
- Pages
- 12945-12950
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2018769240
- Cited by
- 305
- References
- 4
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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