Table 1 Comparison of performance and design feature of furin cleavage site prediction tools

From: Computational prediction of furin cleavage sites by a hybrid method and understanding mechanism underlying diseases

Prediction tool

Sensitivity

Specificity

Design method

Reference

PiTou

96.9%

97.3%

Biological knowledge-based: combination of a hidden Markov model and biological knowledge- based cumulative probability score functions

Results section

ProP

94.7%

83.7%

Pure machine learning neural network

Duckert et al. 200412

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