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Models of Solute Aggregation Using Cellular Automata
Author(s) -
Kier Lemont B.,
Cheng ChoKun,
Nelson Jean D.
Publication year - 2009
Publication title -
chemistry and biodiversity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 70
eISSN - 1612-1880
pISSN - 1612-1872
DOI - 10.1002/cbdv.200800285
Subject(s) - chemistry , cellular automaton , biological system , biophysics , computer science , biology , algorithm
A series of models using cellular automata (CA) are created to examine the influences on the phenomenon of solute aggregation. The models used the variations in hydropathic states of the solutes to produce changes in the clustering patterns. It was found that an increase in the hydrophobic character of the solute molecules led to greater aggregation. The effect of concentration of solutes was also modeled. These preliminary models of solute aggregation serve as the basis for subsequent models relative to both biological receptor interactions, and the fate and transport of environmental contaminants of interest.