ゲノム情報科学研究教育機構  アブストラクト
Date Aug 31, 2017
Speaker Fuyi Li, Ph.D student, Department of Biochemistry and Molecular Biology & Biomedicine Discovery Institute, Monash University, Australia
Title PROSPERous: a bioinformatics tool for rapid, high-throughput prediction of potential cleavage sites of 90 proteases by combining multiple scoring functions and logistic regression
Abstract Proteases are enzymes that function to specifically cleave the peptide backbone of target proteins. As an important type of irreversible post-translational modification, their action underlies many key physiological processes, and when misregulated, associated with numerous diseases. Many proteases are highly specific in terms of the substrate specificity, cleaving only the target substrates that present the appropriate combination of structural features and amino acid sequence patterns. Tools to identify potential target substrates of specific proteases can help complement and guide hypothesis-driven experimental design. We present PROSPERous, a state-of-the-art bioinformatics tool for rapid, high-throughput in silico prediction of substrate cleavage sites for up to 90 different proteases. The tool combines a number of scoring functions that quantify the local sequence environments of potential cleavage sites and uses a logistic regression algorithm to train the final prediction models. The performance of PROSPERous was comprehensively evaluated by 5-fold cross-validation, self-consistency and leave-one-out jack-knife tests. An online web server of PROSPERous is available at http://lightning.med.monash.edu.au/prosperous/ for the wider research community to use.
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