Proteome Analyst makes predictions for both prokaryotic eukaryotic proteins using a text mining approach.
Users can submit requests to the Proteome Analyst web server by selecting the organism type and then uploading a text file containing the protein sequence in a FASTA format.
Proteome Analyst then uses BLAST to look for similar proteins in the Uniprot database with annotation on subcellular localization information.
Proteome Analyst then uses a machine-learned classifier to analyze the annotation text fields of the most similar proteins identified in Uniprot search to make the final subcellular localization predictions.
Proteome Analyst consists of >30,000 lines of Java code and can be deployed on computer cluster to accelerate its speed and performance using multiple CPUs.