SynSysNet - Synaptic Proteins Database


Here, we present SynSysNet, which is based on an expert-curated list of 1.000 human genes, specific to the synapse. Information on resulting proteins, their 3D structure, binding small molecules Protein-Protein-Interactions (PPIs) and Compound-Protein-Interactions are integrated.
Proteins or Compounds can be searched at the appropriate buttons and Interactive Networks can be visualized. The point Diseases present neurological diseases, to illustrate the role of SynSysNet in the medication.

If you have any questions please feel free to contact us!

Database statistics



Cobweb NetworkP

What is visualized in these networks?

In these networks, synaptic interactions including drugs and proteins are displayed. Pathway information is acquired from KEGG via webservice and drug-target information is shown on top. The original HIPPIE score is integrated to indicate the confidence of interactions. Thick edges correspond to high confidence.

How can I use Cobweb?

Before you can create an "Interactive Network" you have to know the IDs of the Protein (UniProt ID) or the Drug (PubChem CID) you are interested in.
To find out the IDs go to "Search Gene/Proteine" or "Compounds". Once you have the IDs you can type in them either in the corresponding field. If you like to show more than one Protein or Drug in your Interactiv Network you can easily type in all of them just devided by a semicolon.

Compound-PPI Network

Compound-PPI Network

This compound-protein-protein interaction network shows the interactions of 1.160 compounds and 894 proteins. To create the network compounds from the database SuperTarget and connected proteins from SynSysNet were chosen. A total of 6.116 interactions (edges), thereof 4.318 PPIs and 1.798 compound-protein interactions are shown. The compound-representing circles are ruby-colored, the proteins' green and the edges between them blue.
The clusters with the same same targets were analysed and it was found that many of the compounds of one cluster belong to the same ATC-code. Those clusters were highlighted and marked with the appropiate ATC-code.

Protein of the Week:
Fibroblast growth factor 1

Uniprot-ID: P05230

detailed viewdownload .pdb.gz
Fibroblast growth factor 1 (FGF-1) is a 155 amino-acid long protein and a member of the heparin-binding growth factors family. These proteins play a major role in the angiogenesis and the regulation of repair mechanisms. They interact with a wide variety of cell types and have a mitogenic and chemotactic effect. Generally, they are ivolved in solid tumor growth, wound healing, ischemic collateral circulation and organogenesis. Of all 24 different growth factors, FGF-1 is the most potent angiogenic activator. In addition, analysis with oligodendrocyte progenitor cells (OPC) of mice revealed an inhibitory effect of FFG-1 on the differentiation into mature oligodendrocytes. As a consequence, the remyelination and axon formation is impaired in damaged central nervous parenchyma. This might be one factor that leads to insufficient repair mechanisms after injuries in the central nervous system.

Pathway of the Dopaminergic Synapse

Pathway of the Dopaminergic Synapse
This is the KEGG pathway map of a dopaminergic synapse. The compound-target relations of SynSysNet are transfered into a cellular context. To get additional information about the targeting compounds place the mouse pointer on a synapse-specific target. In this example the D(2)-dopamine receptor target is highlighed in blue. For Parkinsons disease therapy the function of the D(2)-dopamine receptor should be enhanced by the usage of agonists (for example cabergoline or rasagiline). In other diseases, such as Schizophrenia, we want to block D(2)-dopamine receptors with antipsychotics (for example risperidonum or flurophenazine). This leads to a decreased activity of the dopaminergic system.