Our methods are purely analytic and completely different from earlier approaches which were implemented under more restrictive assumptions.
However, these methods are purely theoretical.
However, the results need to be interpreted cautiously, with a full understanding that FEA methods are purely numerical data that are mathematically enumerated.
Some methods are purely geometrical (LIGSITE [13], LIGSITEcs [14], PocketPicker [5]), while others make use of additional physico-chemical information like polarity or charge (MOE SiteFinder [15], Fpocket [9]).
However, most of these clustering methods are purely data-driven with no prior biological knowledge.
Unlike approaches based on expert input, our methods are purely quantitative.
Both the MCODE and SPICi methods are purely based on network topology.
Because all these methods are purely data-driven, it is not suitable to estimate the clustering of gene expression data.
These methods are purely predictive and do not provide any further understanding of molecular mechanisms behind ligand protein interactions.
The method is purely automatic and does not require any parameters beyond the determination of k.
