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Table 15 LS estimated 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 White’s |t| Variablea β White’s |t| Variablea β White’s |t|
intercept -0.1177 5.17 m8N -0.0842 3.18 p7T -0.1371 6.97
m1D 0.1827 5.30 m8P -0.1387 6.82 p7V -0.1173 4.68
m1L 0.0930 3.71 m8V -0.2103 7.60 p7Y 0.1188 4.05
m1P 0.7844 13.86 p1A 0.1754 5.59 p8H 0.1194 2.51
m1R -0.0619 2.34 p1D 0.0984 2.65 p8K 0.0484 1.52
m3A 0.2046 8.22 p1F 0.0831 2.43 p8N 0.1052 3.22
m3C -0.1245 4.37 p1S 0.0884 3.27 p8Q 0.1466 4.52
m3L -0.1099 6.18 p1T 0.1567 4.59 pos 0.2509 8.51
m3N -0.2151 3.23 p1V 0.0623 3.34 ASA_zero 0.7952 9.89
m3T -0.0743 2.90 p2A 0.0697 1.33 II 0.1387 3.12
m4E 0.1109 2.61 p2H 0.2885 4.65 II´ -0.2684 4.04
m4F -0.0881 3.43 p2P 0.2730 9.84 Helix 0.1508 7.66
m4N 0.1405 3.27 p2Q -0.1379 4.70 Beta Bridges 0.6330 9.35
m4R 0.1408 3.71 p2Y -0.1906 3.98 Beta Hairpin 0.8016 13.87
m4V -0.0560 2.91 p3N -0.1483 5.13 Beta Hairpin Strand -0.0916 5.34
m5D 0.2333 6.89 p3W -0.1152 3.37 Phi angle -0.0003 3.04
m5F -0.0941 2.85 p4A 0.1650 4.77  
m5G 0.0560 1.75 p4E 0.1711 6.75
m5I -0.0872 2.61 p4P 0.1946 8.26
m5Y -0.1326 4.60 p5C -0.1742 5.23
m6E 0.0916 3.22 p5E 0.1512 4.93
m6H -0.1270 5.34 p5H 0.2173 4.08
m6V 0.1567 3.99 p5I -0.0783 3.52
m6W 0.1063 2.81 p5Q 0.1209 3.16
m6Y -0.1267 4.11 p5T 0.0651 2.79
m7A 0.1622 5.51 p5Y -0.1818 4.60
m7E -0.1072 4.70 p6F -0.0883 1.97
m7G -0.0703 3.42 p6G -0.1561 5.14
m7H 0.2640 5.12 p6M 0.3066 4.87
m7I 0.1141 5.62 p6N -0.1144 5.29
m7K 0.1366 3.55 p6Q -0.2447 7.92
m7S 0.0859 2.72 p7A 0.1803 3.10
m8G 0.0964 4.51 p7C -0.1207 3.99
m8L -0.1518 5.28 p7E -0.1148 4.67
m8M -0.1187 4.49 p7G -0.0945 3.50
  1. a miα and piα are abbreviations for minus and plus, respectively. Note that the coefficient standard error is |β|÷|t|