Biochemical reactions as renewal processes: the case of mRNA degradation (Contributo in atti di convegno)

Type
Label
  • Biochemical reactions as renewal processes: the case of mRNA degradation (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Paradisi P., Chiarugi D. (2014)
    Biochemical reactions as renewal processes: the case of mRNA degradation
    in IWBBIO 2014 - 2nd International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain, 7-9 April 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Paradisi P., Chiarugi D. (literal)
Pagina inizio
  • 1574 (literal)
Pagina fine
  • 1576 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://iwbbio.ugr.es/2014/papers/IWBBIO_2014_paper_167.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 3 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; (literal)
Titolo
  • Biochemical reactions as renewal processes: the case of mRNA degradation (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-84-15814-84-9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • F. Ortuno, I. Rojas (literal)
Abstract
  • Biochemical processes are typically described in terms of Continuous Time Markov Chains (CTMCs), which is the stochastic pro- cess associated with the well-known Gillespie's Chemical Master Equa- tion (CME). However, this approach is limited by the basic features of CTMC, that is, Markov property, time-invariance and, consequently, exponential decay of both correlation functions and distribution of Wait- ing Times (WTs) between successive reactions. Here we propose a model based on the theory of renewal point processes, i.e., stochastic processes defined as sequences of critical events occurring randomly in time and in- dependent from each other. Renewal theory allows to generalize CTMC modeling to the case of non-exponential behavior observed in many bio- chemical systems at the cell scale and is the natural framework for the study of intermittent time series. In particular, renewal modeling allows to include directly in a simple way non-exponential WT distribution such as slow power-law decay or stretched exponential. In the specific appli- cation of mRNA degradation, a renewal model can include whatever functional form of the degradation rate. (literal)
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