Abstract
The formation and decomposition of drug-receptor complexes are described by a random birth and death process. This concept makes the deterministic model precise and allows, in particular, consideration of the probability of the biological effect. For the analysis of the process, a new technique that accelerates convergence of the Monte-Carlo method for processes with a high rate of change, and a technique of determination of association constants using observation of evolution of concentrations are described. The similarity between deterministic and stochastic models is discussed.
Original language | English |
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Pages (from-to) | 1-25 |
Number of pages | 25 |
Journal | Computers and Mathematics with Applications |
Volume | 26 |
Issue number | 10 |
DOIs | |
State | Published - Nov 1993 |
Keywords
- Langmuir equation
- Ligand
- Markov process
- Monte-Carlo method
- Receptor
- Regenerative process