Modeling Proteolysis from Mass Spectrometry Proteomic Data

• Autorzy: Gambin A. , Kluge B.
• Języki publikacji: EN

Abstrakty

EN

In this paper we propose a mathematical model of the proteolysis process. Protein digestion is modelled with the use of chemical master equation (CME), i.e. the system of stochastic differential equations corresponding to the network of enzymatic reactions. We present an efficient approach to model parameters’ estimation (i.e. enzyme activities) from time series of mass spectrometry data. These results extend previous results in three directions: by relaxing the stationarity of the proteolysis process assumption, by allowing cuts at arbitrary sites in the peptide sequence and by incorporating knowledge from biological databases.

Słowa kluczowe

EN

chemical master equation; peptidase activity; proteomics; stochastic modeling; mass spectrometry; Markov chains; nonlinear optimization; matrix exponentiation

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2010
• Tom: Vol. 103, nr 1-4
• Strony: 89--104
• Opis fizyczny: Bibliogr. 29 poz., wykr.

Twórcy

autor

Gambin A.

autor

Kluge B.

• Institute of Informatics, University of Warsaw, 02-097 Warsaw, Poland,

Bibliografia

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