%0 Journal Article %1 Schn_2004_235 %A Schnell, S. %A Turner, T. E. %D 2004 %J Prog. Biophys. Mol. Biol. %K 15142746 Algorithms, Biochemistry, Biological, Biology, Biopolymers, Carlo Chemical, Complexes, Computational Computer Fractals, Gov't, Intracellular Kinetics, Macromolecular Metabolism, Method, Models, Monte Multienzyme Non-U.S. Processes, Research Simulation, Space, Statistical, Stochastic Substances, Support, %N 2-3 %P 235--260 %R 10.1016/j.pbiomolbio.2004.01.012 %T Reaction kinetics in intracellular environments with macromolecular crowding: simulations and rate laws. %U http://dx.doi.org/10.1016/j.pbiomolbio.2004.01.012 %V 85 %X We review recent evidence illustrating the fundamental difference between cytoplasmic and test tube biochemical kinetics and thermodynamics, and showing the breakdown of the law of mass action and power-law approximation in in vivo conditions. Simulations of biochemical reactions in non-homogeneous media show that as a result of anomalous diffusion and mixing of the biochemical species, reactions follow a fractal-like kinetics. Consequently, the conventional equations for biochemical pathways fail to describe the reactions in in vivo conditions. We present a modification to fractal-like kinetics following the Zipf-Mandelbrot distribution which will enable the modelling and analysis of biochemical reactions occurring in crowded intracellular environments.

@article{Schn_2004_235, abstract = {We review recent evidence illustrating the fundamental difference between cytoplasmic and test tube biochemical kinetics and thermodynamics, and showing the breakdown of the law of mass action and power-law approximation in in vivo conditions. Simulations of biochemical reactions in non-homogeneous media show that as a result of anomalous diffusion and mixing of the biochemical species, reactions follow a fractal-like kinetics. Consequently, the conventional equations for biochemical pathways fail to describe the reactions in in vivo conditions. We present a modification to fractal-like kinetics following the Zipf-Mandelbrot distribution which will enable the modelling and analysis of biochemical reactions occurring in crowded intracellular environments.}, added-at = {2009-06-03T11:20:58.000+0200}, author = {Schnell, S. and Turner, T. E.}, biburl = {https://www.bibsonomy.org/bibtex/205810e15f162de7c963bf6a08df00ee0/hake}, description = {The whole bibliography file I use.}, doi = {10.1016/j.pbiomolbio.2004.01.012}, file = {Schn_2004_235.pdf:Schn_2004_235.pdf:PDF}, interhash = {f358302bc9388da3b165d0af7e0936e5}, intrahash = {05810e15f162de7c963bf6a08df00ee0}, journal = {Prog. Biophys. Mol. Biol.}, key = 171, keywords = {15142746 Algorithms, Biochemistry, Biological, Biology, Biopolymers, Carlo Chemical, Complexes, Computational Computer Fractals, Gov't, Intracellular Kinetics, Macromolecular Metabolism, Method, Models, Monte Multienzyme Non-U.S. Processes, Research Simulation, Space, Statistical, Stochastic Substances, Support,}, number = {2-3}, pages = {235--260}, pii = {S0079610704000240}, pmid = {15142746}, timestamp = {2009-06-03T11:21:29.000+0200}, title = {Reaction kinetics in intracellular environments with macromolecular crowding: simulations and rate laws.}, url = {http://dx.doi.org/10.1016/j.pbiomolbio.2004.01.012}, volume = 85, year = 2004 }