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Inferring proteolytic processes from mass spectrometry time series data using degradation graphs.

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Inferring proteolytic processes from mass spectrometry time series data using degradation graphs. / Aiche, Stephan; Reinert, Knut; Schütte, Christof; Hildebrand, Diana; Schlüter, Hartmut; Conrad, Tim O F.

in: PLOS ONE, Jahrgang 7, Nr. 7, 7, 2012, S. 40656.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Aiche, S, Reinert, K, Schütte, C, Hildebrand, D, Schlüter, H & Conrad, TOF 2012, 'Inferring proteolytic processes from mass spectrometry time series data using degradation graphs.', PLOS ONE, Jg. 7, Nr. 7, 7, S. 40656. https://doi.org/10.1371/journal.pone.0040656

APA

Aiche, S., Reinert, K., Schütte, C., Hildebrand, D., Schlüter, H., & Conrad, T. O. F. (2012). Inferring proteolytic processes from mass spectrometry time series data using degradation graphs. PLOS ONE, 7(7), 40656. [7]. https://doi.org/10.1371/journal.pone.0040656

Vancouver

Aiche S, Reinert K, Schütte C, Hildebrand D, Schlüter H, Conrad TOF. Inferring proteolytic processes from mass spectrometry time series data using degradation graphs. PLOS ONE. 2012;7(7):40656. 7. https://doi.org/10.1371/journal.pone.0040656

Bibtex

@article{983d093ce55d41b9b8696376d581c5f0,
title = "Inferring proteolytic processes from mass spectrometry time series data using degradation graphs.",
abstract = "Proteases play an essential part in a variety of biological processes. Besides their importance under healthy conditions they are also known to have a crucial role in complex diseases like cancer. In recent years, it has been shown that not only the fragments produced by proteases but also their dynamics, especially ex vivo, can serve as biomarkers. But so far, only a few approaches were taken to explicitly model the dynamics of proteolysis in the context of mass spectrometry.",
keywords = "Humans, Reproducibility of Results, Time Factors, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Computer Simulation, *Models, Biological, Mass Spectrometry/*methods, *Databases, Protein, Fibrinopeptide A/chemistry/metabolism, Peptide Fragments/blood/chemistry/metabolism, *Proteolysis, beta 2-Microglobulin/chemistry/metabolism, Humans, Reproducibility of Results, Time Factors, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Computer Simulation, *Models, Biological, Mass Spectrometry/*methods, *Databases, Protein, Fibrinopeptide A/chemistry/metabolism, Peptide Fragments/blood/chemistry/metabolism, *Proteolysis, beta 2-Microglobulin/chemistry/metabolism",
author = "Stephan Aiche and Knut Reinert and Christof Sch{\"u}tte and Diana Hildebrand and Hartmut Schl{\"u}ter and Conrad, {Tim O F}",
year = "2012",
doi = "10.1371/journal.pone.0040656",
language = "English",
volume = "7",
pages = "40656",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "7",

}

RIS

TY - JOUR

T1 - Inferring proteolytic processes from mass spectrometry time series data using degradation graphs.

AU - Aiche, Stephan

AU - Reinert, Knut

AU - Schütte, Christof

AU - Hildebrand, Diana

AU - Schlüter, Hartmut

AU - Conrad, Tim O F

PY - 2012

Y1 - 2012

N2 - Proteases play an essential part in a variety of biological processes. Besides their importance under healthy conditions they are also known to have a crucial role in complex diseases like cancer. In recent years, it has been shown that not only the fragments produced by proteases but also their dynamics, especially ex vivo, can serve as biomarkers. But so far, only a few approaches were taken to explicitly model the dynamics of proteolysis in the context of mass spectrometry.

AB - Proteases play an essential part in a variety of biological processes. Besides their importance under healthy conditions they are also known to have a crucial role in complex diseases like cancer. In recent years, it has been shown that not only the fragments produced by proteases but also their dynamics, especially ex vivo, can serve as biomarkers. But so far, only a few approaches were taken to explicitly model the dynamics of proteolysis in the context of mass spectrometry.

KW - Humans

KW - Reproducibility of Results

KW - Time Factors

KW - Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

KW - Computer Simulation

KW - Models, Biological

KW - Mass Spectrometry/methods

KW - Databases, Protein

KW - Fibrinopeptide A/chemistry/metabolism

KW - Peptide Fragments/blood/chemistry/metabolism

KW - Proteolysis

KW - beta 2-Microglobulin/chemistry/metabolism

KW - Humans

KW - Reproducibility of Results

KW - Time Factors

KW - Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

KW - Computer Simulation

KW - Models, Biological

KW - Mass Spectrometry/methods

KW - Databases, Protein

KW - Fibrinopeptide A/chemistry/metabolism

KW - Peptide Fragments/blood/chemistry/metabolism

KW - Proteolysis

KW - beta 2-Microglobulin/chemistry/metabolism

U2 - 10.1371/journal.pone.0040656

DO - 10.1371/journal.pone.0040656

M3 - SCORING: Journal article

VL - 7

SP - 40656

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 7

M1 - 7

ER -