Welcome to FunTree ...
FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH . To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left pannel. Further information about the process can be found on the HELP pages.
Text and sequence searches
Search Using CATH Superfamily Name, Reaction Name and synonyms, PDB ID, UniProtKB ID,
CATH Domain ID, EC Code, KEGG Reaction or Lignad Ids
NB: Searches on multipule values are performed as OR searches unless 'AND' is specified.
Families of Interest / Example Families
FunTree Data Structure
To access the data for each CATH 'H' superfamily a navigation index is presented on the left hand side of the page. To view the data for the entire superfamily click on the 'Super Fam' at the root of the index.
For each superfamily there are two ways in which to cluster the structures and sequences that have the superfamiliy domain in their sequence / structure. The deatils of the clustering can be found in the HELP pages. In summary an individual domain can be clustered based on structure and sequence similarity - these are the Structurally Similar Groups (SSG). They only consist of the portion of the sequence / structure that contains the superfamily domain. The other clustering is on the entire protein which may contain more than one domain. Sequences / structures that contain the same mutli-domain architecture are clustered together - the Multi-Domain Architecture (MDA) groups.
You can navigate to the FunTree data for each cluster by clicking on the image of the domain. For the MDA clusters all the different domains are shown. As some domain architectures for a protein familiy are large and complex the first 2 domains are shown and the number of the rest are indicated by '+ [number] doms'. To idenitify which cluster data you are currently analysising, the cluster is highlited by a red boarder. If the cluster contains sequences / structures which are present in the other clustering type, the corresponding clusters are highlighed in a dark red box.