Predictive models of protease specificity based on quantitative protease-activity profiling data.

ABSTRACT: Bioinformatics-based prediction of protease substrates can help to elucidate regulatory proteolytic pathways that control a broad range of biological processes such as apoptosis and blood coagulation. The majority of published predictive models are position weight matrices (PWM) reflecting specificity of proteases toward target sequence. These models are typically derived from experimental data on positions of hydrolyzed peptide bonds and show a reasonable predictive power. New emerging techniques that not only register the cleavage position but also measure catalytic efficiency of proteolysis are expected to improve the quality of predictions or at least substantially reduce the number of tested substrates required for confident predictions. The main goal of this study was to develop new

SUBMITTER: Fedonin GG 

PROVIDER: S-EPMC6745255 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature