Paper Info
Title
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.
Abstract
Proteases are enzymes that specifically cleave the peptide backbone of their target proteins. As an important type of irreversible post-translational modification, protein cleavage underlies many key physiological processes. When dysregulated, proteases' actions are associated with numerous diseases. Many proteases are highly specific, cleaving only those target substrates that present certain particular amino acid sequence patterns. Therefore, tools that successfully identify potential target substrates for proteases may also identify previously unknown, physiologically relevant cleavage sites, thus providing insights into biological processes and guiding hypothesis-driven experiments aimed at verifying protease-substrate interaction. In this work, we present PROSPERous, a tool for rapid in silico prediction of protease-specific cleavage sites in substrate sequences. Our tool is based on logistic regression models and uses different scoring functions and their pairwise combinations to subsequently predict potential cleavage sites. PROSPERous represents a state-of-the-art tool that enables fast, accurate and high-throughput prediction of substrate cleavage sites for 90 proteases.
Year
DOI
Venue
2018
10.1093/bioinformatics/btx670
BIOINFORMATICS
Field
DocType
Volume
Substrate (chemistry),Data mining,Proteases,Computer science,Throughput,Computational biology,Cleavage (embryo)
Journal
34
Issue
ISSN
Citations 
4
1367-4803
20
PageRank 
References 
Authors
0.78
9
9
Name
Order
Citations
PageRank
Jiangning Song137441.93
Fuyi Li29711.25
André Leier319719.87
Marquez-Lago Tatiana T4200.78
Tatsuya Akutsu52169216.05
Haffari Gholamreza6200.78
Kuo-Chen Chou794664.26
Geoffrey I. Webb89912.05
Robert N Pike9322.19