PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites

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PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. / Gnad, Florian; Ren, Shubin; Cox, Juergen; Olsen, Jesper Velgaard; Macek, Boris; Oroshi, Mario; Mann, Matthias.

In: Genome Biology, Vol. 8, No. 11, 2007, p. R250.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Gnad, F, Ren, S, Cox, J, Olsen, JV, Macek, B, Oroshi, M & Mann, M 2007, 'PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites', Genome Biology, vol. 8, no. 11, pp. R250. https://doi.org/10.1186/gb-2007-8-11-r250

APA

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, 8(11), R250. https://doi.org/10.1186/gb-2007-8-11-r250

Vancouver

Gnad F, Ren S, Cox J, Olsen JV, Macek B, Oroshi M et al. PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. Genome Biology. 2007;8(11):R250. https://doi.org/10.1186/gb-2007-8-11-r250

Author

Gnad, Florian ; Ren, Shubin ; Cox, Juergen ; Olsen, Jesper Velgaard ; Macek, Boris ; Oroshi, Mario ; Mann, Matthias. / PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. In: Genome Biology. 2007 ; Vol. 8, No. 11. pp. R250.

Bibtex

@article{33f2224a822c49d7a095389439208860,
title = "PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites",
abstract = "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.",
author = "Florian Gnad and Shubin Ren and Juergen Cox and Olsen, {Jesper Velgaard} and Boris Macek and Mario Oroshi and Matthias Mann",
note = "Keywords: Databases, Protein; Evolution; Phosphoproteins; Phosphorylation; Proteome; Software",
year = "2007",
doi = "10.1186/gb-2007-8-11-r250",
language = "English",
volume = "8",
pages = "R250",
journal = "Genome Biology (Online Edition)",
issn = "1474-7596",
publisher = "BioMed Central Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites

AU - Gnad, Florian

AU - Ren, Shubin

AU - Cox, Juergen

AU - Olsen, Jesper Velgaard

AU - Macek, Boris

AU - Oroshi, Mario

AU - Mann, Matthias

N1 - Keywords: Databases, Protein; Evolution; Phosphoproteins; Phosphorylation; Proteome; Software

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

U2 - 10.1186/gb-2007-8-11-r250

DO - 10.1186/gb-2007-8-11-r250

M3 - Journal article

C2 - 18039369

VL - 8

SP - R250

JO - Genome Biology (Online Edition)

JF - Genome Biology (Online Edition)

SN - 1474-7596

IS - 11

ER -

ID: 46461489