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Biophys J, August 2002, p. 776-793, Vol. 83, No. 2
*School of Computer Science and Engineering, and #The Otto Loewi Minerva Center for Cellular and Molecular Neurobiology, Department of Neurobiology, Jerusalem 91904, Israel
Predicting the time course of in vivo
biodegradation is a key issue in the design of an increasing number of
biomedical applications such as sutures, tissue analogs and
drug-delivery devices. The design of such biodegradable devices is
hampered by the absence of quantitative models for the enzymatic
erosion of solid protein matrices. In this work, we derive and simulate
a reaction diffusion model for the enzymatic erosion of fibrillar gels
that successfully reproduces the main qualitative features of this
process. A key aspect of the proposed model is the incorporation of
steric hindrance into the standard Michaelis-Menten scheme for enzyme
kinetics. In the limit of instantaneous diffusion, the model equations
are analogous to the standard equations for enzymatic degradation in
solution. Invoking this analogy, the total quasi-steady-state approximation is used to derive approximate analytical solutions that
are valid for a wide range of in vitro conditions. Using these
analytical approximations, an experimental-theoretical method is
derived to unambiguously estimate all the kinetic model parameters. Moreover, the analytical approximations correctly describe the characteristic hyperbolic dependence of the erosion rate on enzyme concentration and the zero-order erosion of thin fibers. For
definiteness, the analysis of published experimental results of
enzymatic degradation of fibrillar collagen is demonstrated, and the
role of diffusion in these experiments is elucidated.
Biophys J, August 2002, p. 776-793, Vol. 83, No. 2
© 2002 by the Biophysical Society 0006-3495/02/08/776/18 $2.00
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