Detailed discussions on architecture, implementation using JADE (Java Agent DEvelopment) toolkit, experimental results, performance analysis, evaluation of the model, insights and limitations are reported.
Based on this model, insights into the role of specific amino acids on both partner molecules for the establishment of key interactions are obtained that offer structural basis for the rational design of inhibitors.
However, translation of model insights into clinical practice is challenging since there are no well established correlates of model parameters with clinical data.
Also, experimentalists need to read beyond the model results, questioning and understanding model assumptions and theoretical limitations so that one can assess if and how the model insights might apply and be interpreted in particular experimental and biological situations.
The comparative analysis of the numerical results provides important modelling insights.
Through analysis of biologically conserved network models, insights into the functional role of phenotype-related genes and functional associations between these genes in these networks can be obtained.
This has traditionally been accepted as an adequate model of insight, however more recent models propose that insight be considered a dynamic, multidimensional, process [ 24].
The model provided insight into the lack of species influence on GRper.
The model provides insight into the factors governing the product distribution of the cracking reaction.
