ProtoNet -- Hierarchical classification of the protein space
What you can do:
Classify proteins using automatic hierarchical clustering of the SWISS-PROT protein database.
Highlights:
- ProtoNet provides navigation tools for monitoring the clustering process with a vertical and horizontal view.
- The clustering is based on an all-against-all BLAST similarity search. The similarities' E-score is used to perform a continuous bottom-up clustering process by applying alternative rules for merging clusters.
- The outcome of this clustering process is a classification of the input proteins into a hierarchy of clusters of varying degrees of granularity. Each cluster at any level of the hierarchy is assigned with a statistical index, indicating the level of purity based on biological keywords such as those provided by SWISS-PROT and InterPro.
- ProtoNet can be used for function prediction, for defining superfamilies and subfamilies and for large-scale protein annotation purposes.
- The article on 2005 update of ProtoNet 4.0 can be found here: ProtoNet 4.0
Keywords:
- protein classifications
- protein classification tool
- protein clustering
- protein function predictions
- protein annotations
- protein family prediction
Literature & Tutorials:
PubMed Link: ProtoNet
This record last updated: 05-23-2005