Metabolic dynamics in the human red cell. Part IV--Data prediction and some model computations.
The biochemical information on the basic cellular determinants of the human red cell has been compiled into a comprehensive model of the red cell metabolic machinery. This model gives a consistent interpretation--both qualitative and quantitative--of the experimental findings. The predicted steady states and the dynamic states of the model are compared with the experimental findings, and the utility of this model is demonstrated.
Joshi
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Department of Chemical Engineering, University of Michigan, Ann Arbor 48109-2136.
Palsson
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D019794:2,3-Diphosphoglycerate; D000255:Adenosine Triphosphate / Q000378:metabolism; D001693:Biological Transport, Active; D017301:Ca(2+) Mg(2+)-ATPase / Q000378:metabolism; D004163:Diphosphoglyceric Acids / Q000378:metabolism; D004912:Erythrocytes / Q000201:enzymology / Q000378:metabolism*; D006801:Humans; D006863:Hydrogen-Ion Concentration; D007700:Kinetics; D008954:Models, Biological
D004163:Diphosphoglyceric Acids; D019794:2,3-Diphosphoglycerate; D000255:Adenosine Triphosphate; D017301:Ca(2+) Mg(2+)-ATPase