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Table 1 Performance of prediction of DGJ responsiveness by DecisionStump on sequence derived features.

From: Prediction of the responsiveness to pharmacological chaperones: lysosomal human alpha-galactosidase, a case of study

 

accuracy

precision

recall

zeroR

0.240 ± 0.003

0.239 ± 0.003

1 ± 0

MUPRO

0.811 ± 0.001

0.555 ± 0.091

0.302 ± 0.017

Blosm62

0.737 ± 0.005

0.183 ± 0.057

0.176 ± 0.069

Close_homologs

0.867 ± 0.001

0.666 ± 0.125

0.489 ± 0.102

Far_homologs

0.786 ± 0.026

0.463 ± 0.033

0.364 ± 0.027

Close_orthologs

0.812 ± 0.001

0.477 ± 0.097

0.347 ± 0.062

PolyPhen

0.745 ± 0.028

0.179 ± 0.151

0.108 ± 0.058

  1. Mutations were scored by the trivial classifier ZeroR to set a baseline, by MUPRO, by Bloum62 or by PSSMs derived by sets of sequences which include distant homologs (e-value > e-3), close homologs (e-value > e-50) or close orthologs (e-value > e-13).
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Orphanet Journal of Rare Diseases

ISSN: 1750-1172