It is observed that different types of pathway-related data are present in different signaling pathway databases, and as a result, all such data are still in a scattered situation.
Like BCML, it supports different types of pathways, including signaling pathways (starting from the recently released level 3 of the specification).
Nevertheless, different methods may have their own advantages and disadvantages in determining different types of pathways and specific phenotype data of the GWA studies [ 38].
The challenge ahead is to build explicit functional models for different types of pathways (including signal transduction pathways), similar to those developed for metabolic pathways (Wright and Rausher 2010), in order to understand the conditions under which natural selection may operate within pathways and networks.
This comparison clearly indicates that NCI-PID, KEGG, CPDB, etc. are the largest hub or source for different types of signaling pathway data, whereas BioModels, DOQCS, SPAD, etc. are very specific for a particular type of pathway data (e.g. mathematical rules of the pathway reactions, kinetic parameters and concentration values).
There are two different types of assembly pathways: (i) a cell-surface pathway and (ii) a plasma-based/extracellular pathway.
The different types of cholinergic pathway are shown in Figure 1.
Instead, it suggests that different types of secretory pathway stress elicit distinct UPR subclasses in the liver.
To elaborately discuss this section, detailed comparisons of different types of available pathway data, which are present in different databases, are discussed for the interest of database end-users.
