Quantitative relationships between different variables are represented as mathematical functions. For example, the number of proteins of a certain type in a cell can vary with time. We can denote it by the function, N(t). If N is large, one can ignore the discreteness in N and regard it as a smooth differentiable variable. Its time derivative dN/dt(t), the instantaneous rate of change of this number, will be another function of time. Consider a protein that is being created in the cell at a steady rate k1. Furthermore, let there be a mechanism for clearing or removing the protein from the cell. The latter rate must be proportional to the number of proteins. If its rate constant is k2, the rate of change of protein number in the cell is given by the equation.
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Further Reading
Arfken GB, Weber HJ. 2005. Mathematical methods for physicists. San Diego: Academic Press.
Alon U. 2006. An introduction to systems biology: design principles of biological circuits. Boca Raton: Chapman & Hall.
Berg HC. 1993. Random walks in biology. Princeton: Princeton UP.
Nelson P. 2004. Biological physics: energy, information and life. New York: W.H. Freeman and Company.
Van Kampen NG. 1992. Stochastic processes in physics and chemistry. Amsterdam: North Holland.
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Singh, R.R. (2009). Mathematical Methods in Biophysics. In: Jue, T. (eds) Fundamental Concepts in Biophysics. Handbook of Modern Biophysics. Humana Press. https://doi.org/10.1007/978-1-59745-397-4_1
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