ChloroP V1.0 Prediction Results # Neural network output score for each residue in the query sequence: Residue Amino Network Derivative of number acid score network score ------------------------------------- 1 M 0.277 0.000 2 A 0.178 0.000 3 S 0.157 0.000 4 E 0.161 0.000 5 S 0.133 0.000 6 K 0.144 0.051 7 S 0.142 0.031 8 Y 0.126 0.032 9 A 0.121 0.035 10 R 0.116 0.030 11 R 0.113 0.034 12 D 0.103 0.033 13 R 0.079 0.038 14 L 0.105 0.035 15 L 0.078 0.047 16 E 0.089 0.054 17 I 0.038 0.066 18 E 0.045 0.059 19 A 0.029 0.061 20 T 0.006 0.051 21 V 0.007 0.037 22 R 0.005 0.021 23 K 0.004 0.014 24 W 0.004 0.006 25 W 0.004 0.001 26 E 0.004 0.001 27 D 0.004 0.000 28 E 0.004 0.000 29 D 0.004 0.000 30 V 0.004 0.000 31 F 0.004 0.001 32 R 0.004 0.001 33 A 0.003 0.001 34 E 0.003 0.001 35 S 0.003 0.001 36 C 0.003 0.000 37 E 0.003 0.000 38 N 0.003 0.000 39 L 0.003 0.000 40 P 0.003 -0.001 41 K 0.003 -0.001 42 P 0.004 -0.001 43 G 0.004 -0.001 44 E 0.004 -0.002 45 K 0.005 -0.002 46 F 0.004 -0.002 47 F 0.005 -0.003 48 S 0.010 -0.003 49 T 0.006 -0.001 50 F 0.005 -0.001 51 P 0.008 -0.005 52 F 0.006 -0.005 53 P 0.006 -0.006 54 Y 0.012 -0.009 55 M 0.024 -0.009 56 N 0.011 -0.011 57 G 0.010 -0.020 58 Y 0.019 -0.035 59 L 0.019 -0.080 60 H 0.050 -0.110 61 I 0.063 -0.132 62 G 0.085 -0.129 63 H 0.259 -0.111 64 A 0.174 -0.032 65 F 0.187 0.000 66 S 0.103 -0.008 67 L 0.070 -0.068 68 S 0.102 -0.149 69 K 0.170 -0.230 70 V 0.363 -0.227 71 D 0.442 -0.157 72 F 0.462 -0.050 73 A 0.348 0.091 74 S 0.152 0.191 75 A 0.190 0.146 76 Y 0.244 0.059 77 H 0.148 -0.053 78 R 0.094 -0.199 79 L 0.361 -0.322 80 R 0.453 -0.328 81 G 0.607 -0.250 82 A 0.563 -0.134 83 N 0.456 -0.011 84 V 0.596 0.087 85 L 0.328 0.170 86 L 0.389 0.160 87 P 0.364 0.145 88 F 0.329 0.151 89 G 0.414 0.150 90 F 0.255 0.151 91 H 0.244 0.151 92 C 0.137 0.149 93 T 0.206 0.115 94 G 0.227 0.119 95 M 0.180 0.118 96 P 0.109 0.133 97 I 0.083 0.124 98 K 0.063 0.125 99 A 0.046 0.105 100 S 0.028 0.070 101 A 0.020 0.033 102 D 0.021 0.003 103 K 0.024 -0.020 104 L 0.038 -0.038 105 R 0.060 -0.041 106 R 0.081 -0.036 107 E 0.076 -0.018 108 I 0.073 0.000 109 E 0.047 0.013 110 Q 0.066 0.016 111 F 0.052 0.024 112 G 0.040 0.025 113 N 0.057 0.023 114 P 0.042 0.028 115 P 0.031 0.033 116 V 0.017 0.031 117 F 0.014 0.026 118 T 0.018 0.022 119 A 0.011 0.017 120 E 0.009 0.012 121 D 0.006 0.009 122 T 0.005 0.007 123 T 0.005 0.006 124 K 0.004 0.003 125 V 0.004 0.002 126 P 0.004 0.001 127 E 0.004 0.000 128 V 0.004 0.000 129 Q 0.004 0.000 130 E 0.004 0.000 131 E 0.004 -0.001 132 S 0.004 -0.001 133 S 0.004 -0.001 134 D 0.006 -0.001 135 T 0.006 -0.001 136 I 0.005 0.000 137 A 0.005 0.000 138 L 0.005 0.000 139 P 0.005 0.000 140 I 0.005 0.000 141 P 0.005 -0.001 142 G 0.006 -0.002 143 Q 0.006 -0.004 144 F 0.005 -0.005 145 K 0.006 -0.008 146 G 0.012 -0.013 147 K 0.015 -0.018 148 K 0.014 -0.021 149 S 0.021 -0.028 150 K 0.033 -0.035 151 V 0.040 -0.035 152 A 0.041 -0.040 153 A 0.057 -0.053 154 K 0.070 -0.064 155 A 0.060 -0.056 156 G 0.097 -0.056 157 G 0.131 0.000 158 Q 0.154 0.000 159 V 0.078 0.000 160 Y 0.090 0.000 ------------------------------------- # Neural network based prediction for each query sequence: Name Length Score Prediction CS-score Pred. CS ============================================================== SYLC_ARATH 160 0.430114 NO cTP - - ============================================================== Number of query sequences: 1 ------------------------------------------------------------------------ [GO][GOTO] [Email]