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Table 11 LPM predicting O-glycosylation probabilities given structural and sequence data

From: Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data

Variablea β |t| Variablea β |t| Variablea β |t|
intercept -0.1309 9.71 m8N -0.0921 4.18 p7T -0.1431 9.24
m1D 0.1878 10.74 m8P -0.1516 11.05 p7V -0.1309 8.14
m1L 0.0861 7.26 m8V -0.2180 12.08 p7Y 0.1290 6.75
m1P 0.7885 11.63 p1A 0.1778 9.83 p8H 0.1164 5.76
m1R -0.0757 4.66 p1D 0.0915 4.67 p8K 0.0570 3.34
m3A 0.2162 14.35 p1F 0.0858 5.44 p8N 0.1003 5.51
m3C -0.1315 6.45 p1S 0.0835 5.33 p8Q 0.1493 8.53
m3L -0.1139 9.49 p1T 0.1673 10.15 pos 0.2821 15.95
m3N -0.2245 5.86 p1V 0.0669 4.97 ASA_zero 0.8057 12.02
m3T -0.0881 5.14 p2A 0.0590 2.92 II 0.1649 6.95
m4E 0.1296 5.3 p2H 0.3143 11.32 II´ -0.2828 7.58
m4F -0.0848 5.56 p2P 0.2652 18.99 Helix 0.1610 14.88
m4N 0.1419 7.3 p2Q -0.1532 7.89 Beta Bridges 0.6077 6.53
m4R 0.1410 7.04 p2Y -0.2434 8.12 Beta Hairpin 0.7884 22.3
m4V -0.0545 4.18 p3N -0.1615 7.69 Beta Hairpin Strand -0.1044 9.83
m5D 0.2521 13.74 p3W -0.1086 3.41 Phi angle -0.0004 5.31
m5F -0.1257 6 p4A 0.1629 9.62  
m5G 0.0700 3.21 p4E 0.1757 12.53
m5I -0.0981 4.85 p4P 0.1921 13.35
m5Y -0.1468 6.9 p5C -0.1957 9.63
m6E 0.0954 7.08 p5E 0.1718 7.98
m6H -0.1245 4.73 p5H 0.1938 7.88
m6V 0.1528 9.82 p5I -0.0760 4.33
m6W 0.1166 4.9 p5Q 0.1060 4.93
m6Y -0.1265 6.31 p5T 0.0722 4.61
m7A 0.1576 10.18 p5Y -0.1876 7.45
m7E -0.1132 6.87 p6F -0.1155 5.43
m7G -0.0685 4.89 p6G -0.1696 10.07
m7H 0.2427 11.33 p6M 0.3118 9.57
m7I 0.1222 7.67 p6N -0.1209 6.67
m7K 0.1538 8.77 p6Q -0.2641 12.26
m7S 0.0826 4.44 p7A 0.1752 7.04
m8G 0.1032 6.68 p7C -0.1281 5.86
m8L -0.1541 10.43 p7E -0.1161 7.36
m8M -0.1234 5.34 p7G -0.0951 5.81
  1. a miα and piα are abbreviations for minus and plus, respectively. Note that the coefficient standard error is |β|÷|t|