PFRMAT RR TARGET 1S12 AUTHOR 3655-7312-2721 REMARK This model only includes the pairs predicted to be in contact. METHOD cmappro_band: 2D recurrent neural network, predict contacts METHOD from band to band MODEL 2 MIKVTVTNSFFEVTGHAPDKTLCASVSLLTQHVANFLKAEKKAKIKKESG YLKVKFEELENCEVKVLAAMVRSLKELEQKFPSQIRVEVIDNGS 1 2 0 8 0.997 1 3 0 8 0.919 2 3 0 8 0.999 2 4 0 8 0.995 3 4 0 8 0.998 3 5 0 8 0.998 4 5 0 8 0.999 4 6 0 8 0.999 4 9 0 8 0.342 4 12 0 8 0.536 4 89 0 8 0.543 5 6 0 8 1.000 5 7 0 8 0.987 6 7 0 8 1.000 6 8 0 8 0.999 6 9 0 8 0.477 6 10 0 8 0.432 6 11 0 8 0.340 7 8 0 8 0.999 7 9 0 8 0.998 7 10 0 8 0.368 8 9 0 8 0.997 8 10 0 8 0.994 8 11 0 8 0.443 8 12 0 8 0.311 8 13 0 8 0.322 9 10 0 8 0.999 9 11 0 8 0.998 9 12 0 8 0.570 10 11 0 8 0.999 10 12 0 8 0.997 10 13 0 8 0.531 11 12 0 8 0.999 11 13 0 8 0.999 11 14 0 8 0.411 12 13 0 8 0.999 12 14 0 8 0.964 13 14 0 8 0.998 13 15 0 8 0.998 14 15 0 8 0.997 14 16 0 8 0.993 15 16 0 8 0.996 15 17 0 8 0.991 16 17 0 8 0.997 16 18 0 8 0.873 17 18 0 8 0.998 17 19 0 8 0.946 17 20 0 8 0.456 17 21 0 8 0.424 17 22 0 8 0.453 18 19 0 8 0.997 18 20 0 8 0.996 18 21 0 8 0.414 19 20 0 8 0.999 19 21 0 8 0.998 20 21 0 8 0.999 20 22 0 8 0.997 21 22 0 8 0.999 21 23 0 8 0.998 21 24 0 8 0.529 21 25 0 8 0.571 22 23 0 8 0.999 22 24 0 8 1.000 22 25 0 8 0.764 22 26 0 8 0.763 23 24 0 8 0.999 23 25 0 8 0.997 23 26 0 8 0.912 23 27 0 8 0.767 24 25 0 8 0.999 24 26 0 8 0.999 24 27 0 8 0.792 24 28 0 8 0.830 25 26 0 8 1.000 25 27 0 8 0.999 25 28 0 8 0.944 25 29 0 8 0.940 26 27 0 8 0.999 26 28 0 8 0.999 26 29 0 8 0.898 26 30 0 8 0.966 27 28 0 8 0.999 27 29 0 8 0.999 27 30 0 8 0.897 27 31 0 8 0.988 28 29 0 8 0.999 28 30 0 8 0.998 28 31 0 8 0.855 28 32 0 8 0.985 29 30 0 8 0.999 29 31 0 8 0.998 29 32 0 8 0.947 29 33 0 8 0.988 30 31 0 8 0.997 30 32 0 8 0.998 30 33 0 8 0.959 30 34 0 8 0.984 31 32 0 8 0.999 31 33 0 8 0.998 31 34 0 8 0.977 31 35 0 8 0.986 32 33 0 8 0.999 32 34 0 8 0.996 32 35 0 8 0.814 32 36 0 8 0.984 33 34 0 8 0.999 33 35 0 8 0.994 33 36 0 8 0.952 33 37 0 8 0.991 34 35 0 8 0.997 34 36 0 8 0.993 34 37 0 8 0.916 34 38 0 8 0.834 35 36 0 8 0.999 35 37 0 8 0.999 35 38 0 8 0.909 35 39 0 8 0.731 36 37 0 8 1.000 36 38 0 8 0.999 36 39 0 8 0.931 36 40 0 8 0.871 37 38 0 8 0.999 37 39 0 8 0.999 37 40 0 8 0.928 37 41 0 8 0.934 38 39 0 8 0.999 38 40 0 8 0.999 38 41 0 8 0.859 38 42 0 8 0.880 39 40 0 8 0.999 39 41 0 8 0.999 39 42 0 8 0.928 39 43 0 8 0.822 40 41 0 8 0.999 40 42 0 8 0.999 40 43 0 8 0.815 40 44 0 8 0.734 41 42 0 8 0.999 41 43 0 8 0.998 41 44 0 8 0.621 41 45 0 8 0.776 42 43 0 8 0.999 42 44 0 8 0.998 42 45 0 8 0.632 42 46 0 8 0.453 43 44 0 8 0.998 43 45 0 8 0.999 43 46 0 8 0.556 43 47 0 8 0.435 44 45 0 8 0.999 44 46 0 8 0.998 44 47 0 8 0.607 44 48 0 8 0.592 45 46 0 8 0.999 45 47 0 8 0.999 45 48 0 8 0.660 45 49 0 8 0.735 45 54 0 8 0.523 45 55 0 8 0.529 46 47 0 8 0.999 46 48 0 8 0.998 46 49 0 8 0.788 46 50 0 8 0.535 46 51 0 8 0.422 47 48 0 8 0.995 47 49 0 8 0.996 47 50 0 8 0.696 47 51 0 8 0.521 47 52 0 8 0.446 48 49 0 8 0.998 48 50 0 8 0.996 48 51 0 8 0.642 48 52 0 8 0.372 49 50 0 8 0.992 49 51 0 8 0.980 49 52 0 8 0.455 50 51 0 8 0.995 50 52 0 8 0.998 50 53 0 8 0.424 51 52 0 8 0.998 51 53 0 8 0.998 51 54 0 8 0.551 51 55 0 8 0.510 52 53 0 8 0.999 52 54 0 8 1.000 52 55 0 8 0.473 52 56 0 8 0.512 53 54 0 8 0.999 53 55 0 8 0.998 53 56 0 8 0.549 53 57 0 8 0.563 54 55 0 8 1.000 54 56 0 8 0.999 54 57 0 8 0.706 54 58 0 8 0.891 54 59 0 8 0.352 55 56 0 8 0.999 55 57 0 8 0.995 55 58 0 8 0.880 55 59 0 8 0.791 56 57 0 8 0.998 56 58 0 8 0.997 56 59 0 8 0.988 56 60 0 8 0.942 57 58 0 8 0.994 57 59 0 8 0.997 57 60 0 8 0.967 57 61 0 8 0.955 58 59 0 8 0.999 58 60 0 8 0.997 58 61 0 8 0.950 58 62 0 8 0.908 59 60 0 8 0.998 59 61 0 8 0.996 59 62 0 8 0.976 59 63 0 8 0.907 60 61 0 8 0.996 60 62 0 8 0.997 60 63 0 8 0.937 60 64 0 8 0.942 61 62 0 8 0.998 61 63 0 8 0.998 61 64 0 8 0.918 61 65 0 8 0.954 62 63 0 8 0.999 62 64 0 8 0.999 62 65 0 8 0.983 62 66 0 8 0.956 63 64 0 8 0.999 63 65 0 8 0.996 63 66 0 8 0.890 63 67 0 8 0.864 64 65 0 8 0.998 64 66 0 8 0.997 64 67 0 8 0.994 64 68 0 8 0.987 65 66 0 8 0.999 65 67 0 8 0.999 65 68 0 8 0.994 65 69 0 8 0.991 66 67 0 8 1.000 66 68 0 8 0.999 66 69 0 8 0.990 66 70 0 8 0.996 67 68 0 8 0.999 67 69 0 8 0.999 67 70 0 8 0.993 67 71 0 8 0.952 68 69 0 8 0.999 68 70 0 8 0.998 68 71 0 8 0.981 68 72 0 8 0.875 69 70 0 8 0.999 69 71 0 8 0.993 69 72 0 8 0.913 69 73 0 8 0.793 70 71 0 8 0.997 70 72 0 8 0.973 70 73 0 8 0.880 70 74 0 8 0.969 71 72 0 8 0.996 71 73 0 8 0.998 71 74 0 8 0.991 71 75 0 8 0.944 72 73 0 8 1.000 72 74 0 8 0.999 72 75 0 8 0.923 72 76 0 8 0.914 73 74 0 8 1.000 73 75 0 8 0.999 73 76 0 8 0.972 73 77 0 8 0.977 74 75 0 8 0.999 74 76 0 8 0.999 74 77 0 8 0.999 74 78 0 8 0.977 75 76 0 8 0.999 75 77 0 8 1.000 75 78 0 8 0.994 75 79 0 8 0.991 76 77 0 8 0.999 76 78 0 8 0.999 76 79 0 8 0.997 76 80 0 8 0.988 77 78 0 8 0.999 77 79 0 8 0.999 77 80 0 8 0.983 77 81 0 8 0.978 77 82 0 8 0.317 78 79 0 8 0.999 78 80 0 8 0.999 78 81 0 8 0.935 78 82 0 8 0.947 78 83 0 8 0.314 79 80 0 8 0.998 79 81 0 8 0.999 79 82 0 8 0.714 79 83 0 8 0.346 80 81 0 8 0.996 80 82 0 8 0.951 81 82 0 8 0.999 81 83 0 8 0.991 81 85 0 8 0.347 82 83 0 8 0.998 82 84 0 8 0.997 82 85 0 8 0.337 83 84 0 8 0.997 83 85 0 8 0.999 83 86 0 8 0.430 84 85 0 8 0.999 84 86 0 8 0.995 85 86 0 8 0.998 85 87 0 8 0.998 86 87 0 8 0.999 86 88 0 8 0.999 87 88 0 8 0.999 87 89 0 8 0.999 88 89 0 8 0.997 88 90 0 8 0.997 89 90 0 8 0.999 89 91 0 8 0.959 90 91 0 8 0.998 90 92 0 8 0.992 91 92 0 8 0.998 91 93 0 8 0.991 91 94 0 8 0.464 92 93 0 8 0.995 92 94 0 8 0.939 93 94 0 8 0.991 END