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Recent developments in physical and computer sciences enable quantitative predictions the kinetics of chemical reactions and thermodynamic data from first principles by multiscale modeling.
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Probably the most important clinical implication of this model analysis is the prediction the kinetics of the washout phase after long-term sedation.
Our model, which was formulated through a rule-based approach that allows kinetic Monte Carlo simulations (Supporting Information), can make predictions about the kinetics of ligand-induced receptor aggregation.
Reasonable predictions of the kinetics, grain size distribution and final texture (volume fractions) have been obtained.
Therefore, this model has enough sufficiency for precise and acceptable predictions of the kinetics of benzene adsorption onto RHC.
The aggregation or dilation model make specific predictions concerning the kinetics of dye uptake.
Such a model could provide predictions on the kinetics and tissue levels of benzene metabolites and link biomarker concentrations to adverse effects.
Because the assay used by Völkel et al. (2002) was unable to detect unconjugated BPA in serum, the authors made predictions regarding the kinetics of unconjugated BPA in the absence of data.
These facts permit generalization of the rules for the interactions of chemicals with phospholipids to the level of predictions of the kinetics and equilibria from the structure of chemicals.
First, the model recapitulates and integrates essential biological components and mechanisms for the development of immunogenicity and provides a wide spectrum of predictions for the kinetics of the immune system.
The analysis of the dynamics of CMV DNA load in plasma in the absence of antiviral therapy allowed early recognition of episodes of CMV DNAemia that eventually needed to be treated, but did not permit prediction of the kinetics of CMV DNA clearance in response to antiviral therapy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com