STEM faculty members on the paper: Xiangjia “Jack” Min, Feng Yu, Chester Cooper
STEM graduate students: Brian Powell, Vamshi Amerishetty, John Meinken
STEM undergraduate student: Geneva Knott
Powell B., Amerishetty V., Meinken J., Knott G., Feng Y., Cooper C., and Min X.J., 2016, “ProtSecKB: the protist secretome and subcellular proteome knowledgebase,” Computational Molecular Biolog 6(4): 1-12.
Kingdom Protista contains a large group of eukaryotic organisms with diverse lifestyles. We developed the Protist Secretome and Subcellular Proteome Knowledgebase (ProtSecKB) to host information of curated and predicted subcellular locations of all protist proteins. The protist protein sequences were retrieved from UniProtKB, consisting of 1.97 million entries generated from 7,024 species with 101 species including 127 organisms having complete proteomes. The protein subcellular locations were based on curated information and predictions using a set of well evaluated computational tools. The database can be searched using several different types of identifiers, gene names or keyword(s). Secretomes and other subcellular proteomes can be searched or downloaded. BLAST searching against the complete set of protist proteins or secretomes is available. Protein family analysis of secretomes from representing protist species, including Dictyostelium discoideum, Phytophthora infestans, and Trypanosoma cruzi, showed that species with different lifestyles had drastic differences of protein families in their secretomes, which may determine their lifestyles. The database provides an important resource for the protist and biomedical research community. The database is available at http://bioinformatics.ysu.edu/secretomes/protist/index.php.