The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Identifying the amylome, proteins capable of forming amyloid-like fibrils
Open accessAbstract
The amylome is the universe of proteins that are capable of forming amyloid-like fibrils. Here we investigate the factors that enable a protein to belong to the amylome. A major factor is the presence in the protein of a segment that can form a tightly complementary interface with an identical segment, which permits the formation of a steric zipper—two self-complementary beta sheets that form the spine of an amyloid fibril. Another factor is sufficient conformational freedom of the self-complementary segment to interact with other molecules. Using RNase A as a model system, we validate our fibrillogenic predictions by the 3D profile method based on the crystal structure of NNQQNY and demonstrate that a specific residue order is required for fiber formation. Our genome-wide analysis revealed that self-complementary segments are found in almost all proteins, yet not all proteins form amyloids. The implication is that chaperoning effects have evolved to constrain self-complementary segments from interaction with each other.
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
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Cited by
Spreading of pathology in neurodegenerative diseases: a focus on human studies
Brettschneider, J., Tredici, K. D., Lee, V. M.-Y., & Trojanowski, J. Q. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3887 · Cited by 790
Widespread protein aggregation as an inherent part of aging in C. elegans
David, D. C., Ollikainen, N., Trinidad, J. C., Cary, M. P., Burlingame, A. L., & Kenyon, C. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000450 · Cited by 627
The expanding amyloid family: Structure, stability, function, and pathogenesis
Sawaya, M. R., Hughes, M. P., Rodriguez, J. A., Riek, R., & Eisenberg, D. S. (2021) · Cell · doi:10.1016/j.cell.2021.08.013 · Cited by 475
Self-citationStancu, I.-C., Cremers, N., Vanrusselt, H., Couturier, J., Vanoosthuyse, A., Kessels, S., Lodder, C., Brône, B., Huaux, F., Octave, J.-N., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-018-01957-y · Cited by 447
Zhao, Y., Jaber, V., & Lukiw, W. J. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00318 · Cited by 379
Prebiotic Peptides: Molecular Hubs in the Origin of Life
Frenkel-Pinter, M., Samanta, M., Ashkenasy, G., & Leman, L. J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00664 · Cited by 354
A Designed Inhibitor of p53 Aggregation Rescues p53 Tumor Suppression in Ovarian Carcinomas
Soragni, A., Janzen, D. M., Johnson, L. M., Lindgren, A. G., Thai-Quynh Nguyen, A., Tiourin, E., Soriaga, A. B., Lu, J., Jiang, L., Faull, K. F., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2015.12.002 · Cited by 341
Self-citationAmyloid β-protein oligomers and Alzheimer’s disease
Hayden, E. Y., & Teplow, D. B. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt226 · Cited by 276
Widespread aggregation and neurodegenerative diseases are associated with supersaturated proteins
Ciryam, P., Tartaglia, G. G., Morimoto, R. I., Dobson, C. M., & Vendruscolo, M. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.09.043 · Cited by 270
Strengthening relationships: amyloids create adhesion nanodomains in yeasts
Lipke, P. N., Garcia, M. C., Alsteens, D., Ramsook, C. B., Klotz, S. A., & Dufrêne, Y. F. (2012) · Trends in Microbiology · doi:10.1016/j.tim.2011.10.002 · Cited by 104
Casein and casein micelle structures, functions and diversity in 20 species.
Holt, C. (2016) · International Dairy Journal · doi:10.1016/j.idairyj.2016.01.004 · Cited by 95
Extensive accumulation of misfolded protein aggregates during natural aging and senescence
Cuanalo-Contreras, K., Schulz, J., Mukherjee, A., Park, K.-W., Armijo, E., & Soto, C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1090109 · Cited by 92
Seidler, P. M., Boyer, D. R., Murray, K. A., Yang, T. P., Bentzel, M., Sawaya, M. R., Rosenberg, G., Cascio, D., Williams, C. K., Newell, K. L., et al. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.009688 · Cited by 70
Self-citationProduction and characterization of amaranth amyloid fibrils from food protein waste
Mykolenko, S., Soon, W. L., & Mezzenga, R. (2024) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2023.109604 · Cited by 60
Cardim-Pires, T. R., Sant’Anna, R., & Foguel, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-02898-5 · Cited by 7
AmyloGram reveals amyloidogenic potential in stroke thrombus proteomes
Kell, D. B., Doyle, K. M., Salcedo-Sora, J. E., Sekhar, A., Walker, M., & Pretorius, E. (2025) · Biochemical Journal · doi:10.1042/bcj20253317 · Cited by 4
“This is because it is considered that a majority of proteins can potentially form amyloid under suitable conditions [42,44,138,139]; insulin is another well-known human example [140–146], and the existence of a great many well-established amyloidogenic proteins above our nominal threshold of 0.7 is…”
Influential
Metadata
- Authors
- Goldschmidt, L., Teng, P. K., Riek, R., & Eisenberg, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-02-03
- Volume
- 107
- Issue
- 8
- Pages
- 3487-3492
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2129507901
- Cited by
- 809
- References
- 1
- FWCI
- 23.16
- Type
- journal article
- Language
- en
- Open access
- green
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.