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Table 3 The prediction details of 15 blind testing proteins.

From: Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy

Protein Site TRUE Sulfinator RF1 RF2 Peptide Region
Q9PU41 112 1 Y 0.9884 0.988 Cholecystokinin-7  
Q9PU41 2 0   0.1384 0.122   
Q9PU41 79 0   0.0588 0.036   
P61073 21 1 Y 0.2528 0.158   Extracellular
P61073 7 0   0.176 0.092   
P61073 12 0   0.128 0.264   
P61073 45 0   0.0188 0.006   
P61073 65 0   0.086 0.074   
P61073 76 0   0.1776 0.164   
P61073 103 0   0.0084 0.008   
P61073 116 0   0.04 0.036   
P61073 121 0   0.034 0.03   
P61073 135 0   0.0284 0.022   
P61073 157 0   0.0404 0.034   
P61073 184 0   0.0408 0.026   
P61073 190 0   0.0688 0.062   
P61073 219 0   0.016 0.02   
P61073 255 0   0.0152 0.02   
P61073 256 0   0.0388 0.04   
P61073 302 0   0.0176 0.02   
Q9NZ53 97 1 Y 0.0692 0.076   Extracellular
Q9NZ53 118 1   0.2072 0.236   
Q9NZ53 391 0   0.0672 0.06   
Q9NZ53 481 0   0.1168 0.112   
Q9NZ53 498 0   0.1776 0.152   
Q9NZ53 522 0   0.0384 0.052   
A2ZBG5 110 1   0.618 0.606 Phytosulfokine-beta  
A2ZBG5 112 1   0.7988 0.814   
A2YFB4 80 1 Y 0.5476 0.596 Phytosulfokine-beta  
A2YFB4 82 1   0.7788 0.796   
Q7 M3V5 114 1 Y 0.2064 0.226 Callisulfakinin-1  
Q7 M3V5 2 0   0.3116 0.358   
Q7 M3V5 12 0   0.0608 0.064   
Q7 M3V5 56 0   0.0528 0.044   
Q7 M3V5 64 0   0.2184 0.232   
Q7 M3V5 65 0   0.0348 0.038   
Q7 M3V5 81 0   0.3856 0.378   
Q7 M3V5 102 0 Y 0.072 0.054   
Q7 M3V5 131 0 Y 0.5604 0.592   
P84900 62 1   0.608 0.582 Phyllokinin  
Q0VTT9 62 1   0.598 0.57 [Thr6, Val10]-phyllokinin  
P0C1V8 16 1 Y 0.8816 0.92 Alpha-conotoxin AnIC  
P0C1V7 16 1 Y 0.8988 0.93 Alpha-conotoxin AnIA  
Q800F1 62 1   0.5984 0.57 [Thr6]-phyllokinin  
P68116 5 1 Y 0.7984 0.816 Fibrinopeptide B  
P68116 2 0   0.3464 0.338   
P68124 4 1 Y 0.8984 0.902 Fibrinopeptide B  
P68121 3 1 Y 0.7584 0.742 Fibrinopeptide B  
P68119 6 1 Y 0.8648 0.864 Fibrinopeptide B