Stochastic networks in nanoscale biophysics: Modeling enzymatic reaction of a single protein

• Autores: S C Kou
• Localización: Journal of the American Statistical Association, ISSN 0162-1459, Vol. 103, Nº 483, 2008
• Idioma: inglés
• DOI: 10.1198/016214507000001021
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• Resumen

  • Advances in nanotechnology enable scientists for the first time to study biological processes on a nanoscale molecule-by-molecule basis. A surprising discovery from recent nanoscale single-molecule biophysics experiments is that biological reactions involving enzymes behave fundamentally differently from what classical theory predicts. In this article we introduce a stochastic network model to explain the experimental puzzles (by modeling enzymatic reactions as a stochastic network connected by different enzyme conformations). Detailed analyses of the model, including analyses of the first-passage-time distributions and goodness of fit, show that the stochastic network model is capable of explaining the experimental surprises. The model is analytically tractable and closely fits experimental data. The biological/chemical meaning of the model is discussed. [PUBLICATION ABSTRACT]