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Table 23 Regressing log(ASA) against sequence information

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

Variable β White’s |t| Variable β White’s |t| Variable β White’s |t|
intercept 3.8265 79.93 m6G 0.2437 3.04 p4A -0.1698 2.96
m1C 0.4005 4.78 m6K 0.2509 4.17 p4C -0.4837 2.44
m1E -0.1849 2.76 m6M -0.2652 2.11 p4D -0.4424 6.50
m1F -0.3802 9.02 m6W 0.2150 2.77 p4F -0.2666 6.08
m1G -0.1734 4.07 m7I -0.2036 3.95 p4G -0.5605 8.13
m1I -0.4253 7.95 m7K 0.4807 7.38 p4H -0.2247 3.50
m1K 0.2688 3.63 m7P 0.1391 2.64 p4I 0.3184 7.64
m1M -0.1687 2.12 m7Q 0.3848 5.22 p4S -0.1250 2.75
m1Q 0.4901 6.87 m7R -0.2030 2.36 p4W -0.1784 2.80
m1S 0.1580 2.89 m7S 0.2185 3.14 p5A 0.1559 3.37
m1V 0.0999 2.51 m7V 0.2153 4.68 p5C -0.1432 2.21
m1Y -0.2066 3.66 m7W 0.2831 2.64 p5D -0.1959 3.46
m3F -0.4134 7.04 m8G -0.5119 11.04 p5K 0.3154 6.66
m3G 0.1102 2.47 m8S -0.1997 4.90 p5V 0.2375 4.07
m3I -0.4745 6.72 m8Y 0.6461 11.36 p5W 0.3914 3.95
m3L -0.2031 4.83 p1C 0.3582 5.47 p6A 0.1402 3.83
m3M -0.2393 3.21 p1K 0.3864 5.90 p6E -0.2923 6.89
m3S 0.1590 2.64 p1L 0.1875 4.96 p6H 0.1935 3.36
m3V -0.2821 4.05 p1Q -0.1655 2.41 p6I 0.3046 4.23
m3W -0.2581 4.16 p1V 0.1280 3.00 p6K -0.1276 1.92
m3Y -0.1855 3.34 p2E 0.1752 3.76 p7C 0.1051 1.73
m4C 0.4717 3.35 p2F 0.1018 1.72 p7H 0.2926 4.07
m4D 0.3255 3.79 p2G -0.2754 4.66 p7I -0.2492 3.18
m4F 0.3545 7.04 p2K -0.1480 2.10 p7P 0.1066 2.49
m4K 0.1518 2.83 p2N -0.1830 2.88 p7Q -0.1690 2.20
m4L 0.1450 3.83 p2V -0.1858 3.33 p7T 0.0952 1.96
m4P 0.4735 8.35 p3A -0.2814 5.72 p7W -0.2539 2.93
m4Q 0.3059 5.66 p3C 0.2717 3.90 p7Y 0.2480 3.36
m4S 0.1391 2.63 p3D -0.2040 4.27 p8G 0.1935 3.69
m4T -0.1328 2.2 p3H -0.2118 2.19 p8H 0.2042 3.94
m5I -0.4287 5.15 p3I -0.1469 3.65 p8K 0.3261 7.20
m5P 0.1189 1.72 p3K -0.4302 5.66 p8L 0.1804 2.63
m5R -0.2278 3.95 p3L -0.2711 6.92 p8R 0.2939 5.12
m5Y -0.3245 5.27 p3R -0.1781 2.87 pos 0.1555 2.65
m6E 0.1342 2.47 p3Y -0.2788 2.90