Background 1 DCSE, the Database of Cell Signaling Enzymes covers a gamut of cell 
signaling enzymes, which includes kinases, phosphatases, adenylyl cyclases, 
caspases, phosphodiesterases, phospholipases, prenyltransferases etc. As 
mentioned above the defect in cell signaling mechanism is the major cause for 
diseases and hence the cell signaling enzymes are considered to be potential 
target in rational drug design approach. Methodology 
2 3 4 Figure 1 5 
6 7 8 Usability/Accessibility Figure 2 figure 3 4 Utility to the biological community Since DCSE gather together all the information on biological molecules, 
sequences, structures, functions, and biological reactions, which transfer the 
cellular signals, this database has the potential of becoming a major hub of 
resource for the biological community. This database provides a mechanism by 
which researchers and students can transform information about interactions 
between biomolecules into knowledge about a cellular process. Caveats The database needs to be updated from time to time as the data has been 
obtained from other sources. Despite our efforts to collect information from 
various sources and check them for consistency, the quality of the information 
depends heavily on the original source. Future development The coiled-coil structure is important for protein interaction. Since the 
cell signaling also involves protein interaction, a tool to predict coiled-coil 
structure is of importance. There are few tools for this purpose like MultiCoil. The Multicoil program 
just gives the probability for a residue to be in coiled-coil region. We intend 
to develop a coiled-coil prediction tool based on artificial neural networks 
that could tell whether a residue is in coiled-coil region if it crosses a 
threshold computed from a training set consisting of proteins with known 
coiled-coil structure.