Seq2Ref: a web server to facilitate functional interpretation

BACKGROUND:The size of the protein sequence database has been exponentially increasing due to advances in genome sequencing. However, experimentally characterized proteins only constitute a small portion of the database, such that the majority of sequences have been annotated by computational approaches. Current automatic annotation pipelines inevitably introduce errors, making the annotations unreliable. Instead of such error-prone automatic annotations, functional interpretation should rely on annotations of 'reference proteins' that have been experimentally characterized or manually curated.RESULTS:The Seq2Ref server uses BLAST to detect proteins homologous to a query sequence and identifies the reference proteins among them. Seq2Ref then reports publications with experimental characterizations of the identified reference proteins that might be relevant to the query. Furthermore, a rating system is developed to evaluate the homologous relationships and rank the reference proteins by their relevance to the query.CONCLUSIONS:The reference proteins detected by our server will lend insight on the protein of unknown function and provide extensive information to develop in-depth understanding of the protein under study. Seq2Ref is available at: http://prodata.swmed.edu/wenlin/server/seq2ref/