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The co-evolution of host and parasite of a natural system has been extensively studied, primarily through theoretical modelling, which is recently reviewed [ 22]; most of these modelling studies are based on the gene-for-gene (GFG) theory and focused on the outcome of this coevolution process.
Often modelling studies are required in order to understand basic principles of different propagation phenomena.
Catchment scale, landscape scale and modelling studies are not the focus of this review and are only briefly addressed.
This decline in error with increasing scale suggests that reported errors from spatial modelling studies are likely to exceed those that occur at the scale of operational application.
The modelling studies are valuable for revealing the steric relationships between active sites and substrate molecules, for calculating the most likely structures, and for revealing non-bonded interactions.
Numerical modelling studies are an essential means of assessing hydrological and geomorphological impacts of changing rainfall patterns resulting from climate variability.
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Molecular modelling studies were conducted to further interpret the NMR data.
All molecular modelling studies were performed on a Core i7 CPU (PIV 2.20 GHZ) PC workstation.
Molecular modelling studies were done using the software package MOE 2005.06 (Molecular Operating Environment, Version 2005.06).
For these purposes, some observational, experimental and numerical modelling studies were conducted.
Molecular modelling studies were performed to rationalize the observed enzymatic inhibitions.
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