The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites
Open accessAbstract
PHOSIDA http://www.phosida.com, a phosphorylation site database, integrates thousands of high-confidence in vivo phosphosites identified by mass spectrometry-based proteomics in various species. For each phosphosite, PHOSIDA lists matching kinase motifs, predicted secondary structures, conservation patterns, and its dynamic regulation upon stimulus. Using support vector machines, PHOSIDA also predicts phosphosites.
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Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Intrinsic Disorder and Protein Function
Dunker, A. K., Brown, C. J., Lawson, J. D., Iakoucheva, L. M., & Obradović, Z. (2002) · Biochemistry · doi:10.1021/bi012159+ · Cited by 1,731
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Settembre, C., Di Malta, C., Polito, V. A., Arencibia, M. G., Vetrini, F., Erdin, S., Erdin, S. U., Huynh, T., Medina, D., Colella, P., et al. (2011) · Science · doi:10.1126/science.1204592 · Cited by 3,365
Protein Analysis by Shotgun/Bottom-up Proteomics
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Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078
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Metadata
- Authors
- Gnad, F., Ren, S., Cox, J., Olsen, J. V., Macek, B., Oroshi, M., & Mann, M.
- Venue
- Genome Biology
- Published
- 2007-11-26
- Volume
- 8
- Issue
- 11
- Pages
- R250-R250
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2167350014
- Cited by
- 454
- References
- 3
- FWCI
- 20.19
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Gnad, F., Ren, S., Cox, J., Olsen, J. V., Macek, B., Oroshi, M., & Mann, M. (2007). PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. Genome Biology. https://doi.org/10.1186/gb-2007-8-11-r250
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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