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Table 16 RR 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

Variable β Standard error Variable β Standard error Variable β Standard error
intercept 0.3124 0.0322 m8N -0.0595 0.0496 p7T -0.0660 0.0364
m1D 0.0343 0.0415 m8P -0.0638 0.0336 p7V -0.0556 0.0386
m1L 0.0560 0.0307 m8V -0.0687 0.0433 p7Y 0.0463 0.0439
m1P 0.1345 0.0687 p1A -0.0119 0.0435 p8H 0.0487 0.0459
m1R -0.0671 0.0391 p1D 0.0614 0.0474 p8K 0.0037 0.0409
m3A 0.0127 0.0368 p1F 0.0657 0.0396 p8N 0.0638 0.0428
m3C -0.0633 0.0473 p1S -0.0007 0.0383 p8Q 0.0082 0.0414
m3L 0.0228 0.0316 p1T 0.0664 0.0391 pos 0.0338 0.0417
m3N -0.0528 0.0703 p1V -0.0329 0.0323 ASA_zero 0.1204 0.0690
m3T -0.0515 0.0406 p2A 0.0554 0.0465 II -0.0266 0.0547
m4E -0.0219 0.0543 p2H 0.0169 0.0592 II´ -0.0616 0.0678
m4F 0.0251 0.0377 p2P 0.0788 0.0349 Helix 0.0603 0.0271
m4N 0.0548 0.0464 p2Q -0.0658 0.0444 Beta Bridges 0.1283 0.0588
m4R 0.0669 0.0476 p2Y -0.0701 0.0602 Beta Hairpin 0.1353 0.0689
m4V -0.0619 0.0309 p3N -0.0574 0.0469 Beta Hairpin Strand -0.0641 0.0264
m5D 0.0553 0.0444 p3W -0.0584 0.0619 Phi angle 0.0001 0.0002
m5F -0.0751 0.0465 p4A 0.0642 0.0406  
m5G -0.0351 0.0482 p4E 0.0139 0.0350
m5I -0.0408 0.0478 p4P 0.0384 0.0359
m5Y -0.0577 0.0482 p5C -0.0702 0.0473
m6E 0.0249 0.0338 p5E -0.0222 0.0471
m6H -0.0693 0.0579 p5H 0.0701 0.0540
m6V 0.0545 0.0395 p5I -0.0552 0.0419
m6W 0.0067 0.0525 p5Q 0.0310 0.0511
m6Y -0.0589 0.0450 p5T -0.0380 0.0371
m7A 0.0418 0.0381 p5Y -0.0697 0.0546
m7E -0.0655 0.0398 p6F -0.0644 0.0482
m7G -0.0569 0.0348 p6G -0.0540 0.0418
m7H 0.0707 0.0491 p6M 0.0608 0.0620
m7I -0.0053 0.0385 p6N -0.0695 0.0438
m7K 0.0396 0.0409 p6Q -0.0782 0.0484
m7S -0.0403 0.0433 p7A 0.0765 0.0562
m8G 0.0512 0.0390 p7C -0.0576 0.0493
m8L -0.0587 0.0351 p7E -0.0513 0.0393
m8M -0.0693 0.0525 p7G 0.0306 0.0383