Functional annotation of protein aims to extend the knowledgebase of existing, novel or relatively less studied proteins by using a number of computational techniques. Existing knowledgebase of well-studied proteins are used for prediction. We have developed a protocol for the functional annotation of proteins by integrating several bioinformatics analysis and annotation tools sequential BLAST homology searches, protein domain/motif and Gene Ontology (GO) mapping and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.
The approach we have described is generic and can be used to annotate the proteome of any human chromosome or any novel organism, to bridge the gap between proteins with a known biological role and those described as "uncharacterized." Annotated protein information will be made available freely to scientific community via this web server.