| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQGSNTKPNEAPHPGFTVRLDDCGLTEARCKDISSALRVGSNTKPNEAPHPGFTELNLRSNELGDVGVHCVLQGLQGSNTKPNEAPHPGFTKLSLQNCCLTGAGCGVLSSTLRTGSNTKPNEAPHPGFTELHLSDNLLGDAGLQLLCEGLLGSNTKPNEAPHPGFTKLQLEYCSLSAASCEPLASVLRAGSNTKPNEAPHPGFTELTVSNNDINEAGVRVLCQGLKDGSNTKPNEAPHPGFTALKLESCGVTSDNCRDLCGIVASGSNTKPNEAPHPGFTELALGSNKLGDVGMAELCPGLLDATQKPNTAKHPALEATQPGTLWIWECGITAKGCGDLCRVLRADATQKPNTAKHPALEATQPGELSLAGNELGDEGARLLCETLLDATQKPNTAKHPALEATQPGSLWVKSCSFTAACCSHFSSVLAQDATQKPNTAKHPALEATQPGELQISNNRLEDAGVRELCQGLQDATQKPNTAKHPALEATQPGVLWLADCDVSDSSCSSLAATLLTDATQKPNTAKHPALEATQPGELDLSNNCLGDAGILQLVESVRDATQKPNTAKHPALEATQPGQLVLYDIYWSEEMEDRLQALEKDDATQKPNTAKHPALEATQPGRVIS
input PDB |
| Selected Chain(s) | A |
| Distance of aggregation | 10 Å |
| FoldX usage | Yes |
| pH calculations | No |
| alphaCutter usage | No |
| Dynamic mode | Yes |
| Automated mutations | No |
| Downloads | Download all the data |
| Simulation log |
[INFO] Logger: Verbosity set to: 2 - [INFO] (00:00:01)
[WARNING] runJob: Working directory already exists (possibly overwriting previous results -ow
to prevent this behavior) (00:00:01)
[INFO] runJob: Starting aggrescan3d job on: input.pdb with A chain(s) selected (00:00:01)
[INFO] runJob: Creating pdb object from: input.pdb (00:00:01)
[INFO] FoldX: Starting FoldX energy minimization (00:00:01)
[INFO] CABS: Running CABS flex simulation (00:13:23)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:31:22)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:31:26)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:31:30)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:31:35)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:31:39)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:31:43)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:31:47)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:31:51)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:31:55)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:31:59)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:32:03)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:32:07)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:32:11)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:32:22)
[INFO] Main: Simulation completed successfully. (02:32:26)
|
The table below lists A4D score for protein residues. Residues with A4D score > 0.0000 are marked by yellow rows.
| residue index | residue name | chain | Aggrescan4D score | mutation |
|---|---|---|---|---|
| 1 | S | A | 0.2939 | |
| 2 | L | A | 1.3665 | |
| 3 | D | A | 0.8816 | |
| 4 | I | A | 1.8343 | |
| 5 | Q | A | 0.3696 | |
| 6 | S | A | -0.7449 | |
| 7 | L | A | 0.0000 | |
| 8 | D | A | -2.6934 | |
| 9 | I | A | -2.4766 | |
| 10 | Q | A | -2.8893 | |
| 11 | C | A | -2.6998 | |
| 12 | E | A | -3.4456 | |
| 13 | E | A | -3.7025 | |
| 14 | L | A | 0.0000 | |
| 15 | S | A | -2.4639 | |
| 16 | D | A | -2.8738 | |
| 17 | A | A | -2.0529 | |
| 18 | R | A | -3.0026 | |
| 19 | W | A | -1.7697 | |
| 20 | A | A | -1.6812 | |
| 21 | E | A | -2.3528 | |
| 22 | L | A | -1.1798 | |
| 23 | L | A | -0.3657 | |
| 24 | P | A | -0.4295 | |
| 25 | L | A | -0.2411 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -0.6980 | |
| 28 | G | A | -0.8524 | |
| 29 | S | A | 0.0000 | |
| 30 | N | A | -1.1986 | |
| 31 | T | A | -0.7669 | |
| 32 | K | A | -1.3756 | |
| 33 | P | A | -1.3336 | |
| 34 | N | A | -1.6908 | |
| 35 | E | A | -2.0326 | |
| 36 | A | A | -0.7836 | |
| 37 | P | A | -0.1162 | |
| 38 | H | A | 0.0000 | |
| 39 | P | A | 0.5908 | |
| 40 | G | A | 0.0000 | |
| 41 | F | A | 0.0000 | |
| 42 | T | A | -0.7047 | |
| 43 | V | A | 0.0000 | |
| 44 | R | A | -2.9267 | |
| 45 | L | A | 0.0000 | |
| 46 | D | A | -2.5686 | |
| 47 | D | A | -2.7320 | |
| 48 | C | A | 0.0000 | |
| 49 | G | A | -2.6595 | |
| 50 | L | A | 0.0000 | |
| 51 | T | A | -1.7959 | |
| 52 | E | A | -2.1576 | |
| 53 | A | A | -1.8985 | |
| 54 | R | A | -2.0265 | |
| 55 | C | A | 0.0000 | |
| 56 | K | A | -2.3399 | |
| 57 | D | A | -1.6903 | |
| 58 | I | A | -0.5675 | |
| 59 | S | A | 0.0000 | |
| 60 | S | A | -1.1556 | |
| 61 | A | A | 0.0000 | |
| 62 | L | A | 0.0000 | |
| 63 | R | A | -2.2520 | |
| 64 | V | A | -0.9244 | |
| 65 | G | A | 0.0000 | |
| 66 | S | A | -1.0882 | |
| 67 | N | A | -1.3623 | |
| 68 | T | A | 0.0000 | |
| 69 | K | A | -2.5097 | |
| 70 | P | A | -1.9363 | |
| 71 | N | A | -1.5827 | |
| 72 | E | A | 0.0000 | |
| 73 | A | A | -1.0146 | |
| 74 | P | A | -0.8803 | |
| 75 | H | A | 0.0000 | |
| 76 | P | A | -0.2996 | |
| 77 | G | A | -0.2851 | |
| 78 | F | A | 0.0000 | |
| 79 | T | A | -0.3860 | |
| 80 | E | A | -0.8459 | |
| 81 | L | A | 0.0000 | |
| 82 | N | A | 0.0000 | |
| 83 | L | A | 0.0000 | |
| 84 | R | A | -1.8859 | |
| 85 | S | A | -2.0918 | |
| 86 | N | A | -2.7195 | |
| 87 | E | A | -3.0028 | |
| 88 | L | A | 0.0000 | |
| 89 | G | A | -1.0570 | |
| 90 | D | A | -0.5592 | |
| 91 | V | A | 0.5419 | |
| 92 | G | A | 0.0000 | |
| 93 | V | A | 0.0000 | |
| 94 | H | A | -0.7951 | |
| 95 | C | A | 0.0000 | |
| 96 | V | A | 0.0000 | |
| 97 | L | A | 0.0000 | |
| 98 | Q | A | -2.2084 | |
| 99 | G | A | 0.0000 | |
| 100 | L | A | 0.0000 | |
| 101 | Q | A | -2.1557 | |
| 102 | G | A | 0.0000 | |
| 103 | S | A | 0.0000 | |
| 104 | N | A | -1.5142 | |
| 105 | T | A | 0.0000 | |
| 106 | K | A | 0.0000 | |
| 107 | P | A | -1.6215 | |
| 108 | N | A | -2.4436 | |
| 109 | E | A | -2.1200 | |
| 110 | A | A | -0.9596 | |
| 111 | P | A | -1.0046 | |
| 112 | H | A | 0.0000 | |
| 113 | P | A | 0.0000 | |
| 114 | G | A | 0.0000 | |
| 115 | F | A | 0.0000 | |
| 116 | T | A | -0.4773 | |
| 117 | K | A | -0.7079 | |
| 118 | L | A | 0.0000 | |
| 119 | S | A | 0.0000 | |
| 120 | L | A | 0.0000 | |
| 121 | Q | A | -1.1396 | |
| 122 | N | A | -1.4030 | |
| 123 | C | A | 0.0000 | |
| 124 | C | A | -0.5521 | |
| 125 | L | A | 0.0000 | |
| 126 | T | A | 0.0240 | |
| 127 | G | A | -0.1659 | |
| 128 | A | A | -0.0467 | |
| 129 | G | A | 0.0000 | |
| 130 | C | A | 0.0000 | |
| 131 | G | A | -0.3378 | |
| 132 | V | A | -0.3758 | |
| 133 | L | A | 0.0000 | |
| 134 | S | A | -0.8427 | |
| 135 | S | A | -1.1330 | |
| 136 | T | A | 0.0000 | |
| 137 | L | A | 0.0000 | |
| 138 | R | A | -2.4521 | |
| 139 | T | A | -1.8865 | |
| 140 | G | A | 0.0000 | |
| 141 | S | A | 0.0000 | |
| 142 | N | A | -1.3449 | |
| 143 | T | A | 0.0000 | |
| 144 | K | A | -2.3555 | |
| 145 | P | A | -1.6493 | |
| 146 | N | A | -1.2442 | |
| 147 | E | A | 0.0000 | |
| 148 | A | A | -0.4765 | |
| 149 | P | A | -0.5271 | |
| 150 | H | A | -0.6591 | |
| 151 | P | A | -0.5988 | |
| 152 | G | A | 0.0000 | |
| 153 | F | A | 0.0000 | |
| 154 | T | A | 0.0000 | |
| 155 | E | A | -0.6923 | |
| 156 | L | A | 0.0000 | |
| 157 | H | A | -0.5762 | |
| 158 | L | A | 0.0000 | |
| 159 | S | A | 0.0000 | |
| 160 | D | A | -0.7654 | |
| 161 | N | A | -0.6146 | |
| 162 | L | A | 0.8768 | |
| 163 | L | A | 0.0000 | |
| 164 | G | A | -0.4843 | |
| 165 | D | A | -1.3260 | |
| 166 | A | A | -0.5753 | |
| 167 | G | A | 0.0000 | |
| 168 | L | A | 0.0000 | |
| 169 | Q | A | -1.2615 | |
| 170 | L | A | -0.3259 | |
| 171 | L | A | 0.0000 | |
| 172 | C | A | 0.0000 | |
| 173 | E | A | -1.9354 | |
| 174 | G | A | -1.4192 | |
| 175 | L | A | 0.0000 | |
| 176 | L | A | -0.7633 | |
| 177 | G | A | -1.1993 | |
| 178 | S | A | -0.7610 | |
| 179 | N | A | 0.0000 | |
| 180 | T | A | -0.8410 | |
| 181 | K | A | -1.3344 | |
| 182 | P | A | -1.5456 | |
| 183 | N | A | -1.9888 | |
| 184 | E | A | -1.3017 | |
| 185 | A | A | -0.7113 | |
| 186 | P | A | -0.9835 | |
| 187 | H | A | -0.8999 | |
| 188 | P | A | -0.5337 | |
| 189 | G | A | -0.5698 | |
| 190 | F | A | 0.0000 | |
| 191 | T | A | -0.3978 | |
| 192 | K | A | -0.6208 | |
| 193 | L | A | 0.0000 | |
| 194 | Q | A | -0.3755 | |
| 195 | L | A | 0.0000 | |
| 196 | E | A | -0.2289 | |
| 197 | Y | A | 0.3924 | |
| 198 | C | A | -0.0216 | |
| 199 | S | A | -0.7496 | |
| 200 | L | A | 0.0000 | |
| 201 | S | A | -1.5174 | |
| 202 | A | A | -1.3824 | |
| 203 | A | A | -0.8987 | |
| 204 | S | A | 0.0000 | |
| 205 | C | A | 0.0000 | |
| 206 | E | A | -1.7908 | |
| 207 | P | A | 0.0000 | |
| 208 | L | A | 0.0000 | |
| 209 | A | A | 0.0000 | |
| 210 | S | A | -1.1060 | |
| 211 | V | A | 0.0000 | |
| 212 | L | A | 0.0000 | |
| 213 | R | A | -1.5494 | |
| 214 | A | A | 0.0000 | |
| 215 | G | A | 0.0000 | |
| 216 | S | A | 0.0000 | |
| 217 | N | A | -1.1351 | |
| 218 | T | A | -1.7788 | |
| 219 | K | A | -2.1345 | |
| 220 | P | A | -1.6092 | |
| 221 | N | A | -2.2064 | |
| 222 | E | A | -2.0077 | |
| 223 | A | A | -1.3939 | |
| 224 | P | A | -0.8893 | |
| 225 | H | A | 0.0000 | |
| 226 | P | A | 0.0000 | |
| 227 | G | A | -0.4738 | |
| 228 | F | A | 0.0000 | |
| 229 | T | A | -0.1976 | |
| 230 | E | A | 0.0000 | |
| 231 | L | A | 0.0000 | |
| 232 | T | A | 0.0000 | |
| 233 | V | A | 0.0000 | |
| 234 | S | A | 0.0000 | |
| 235 | N | A | -1.0148 | |
| 236 | N | A | -1.8034 | |
| 237 | D | A | -2.5662 | |
| 238 | I | A | 0.0000 | |
| 239 | N | A | -2.7129 | |
| 240 | E | A | -2.5371 | |
| 241 | A | A | -1.4566 | |
| 242 | G | A | 0.0000 | |
| 243 | V | A | 0.0000 | |
| 244 | R | A | -2.5895 | |
| 245 | V | A | -1.3612 | |
| 246 | L | A | 0.0000 | |
| 247 | C | A | 0.0000 | |
| 248 | Q | A | -2.1872 | |
| 249 | G | A | 0.0000 | |
| 250 | L | A | 0.0000 | |
| 251 | K | A | -2.9160 | |
| 252 | D | A | -2.6103 | |
| 253 | G | A | 0.0000 | |
| 254 | S | A | -1.4836 | |
| 255 | N | A | -1.2873 | |
| 256 | T | A | -1.2285 | |
| 257 | K | A | 0.0000 | |
| 258 | P | A | -1.8013 | |
| 259 | N | A | -2.2206 | |
| 260 | E | A | -1.5934 | |
| 261 | A | A | -0.8794 | |
| 262 | P | A | 0.0000 | |
| 263 | H | A | 0.0000 | |
| 264 | P | A | 0.0000 | |
| 265 | G | A | 0.0000 | |
| 266 | F | A | 0.0000 | |
| 267 | T | A | 0.0000 | |
| 268 | A | A | -0.2670 | |
| 269 | L | A | 0.0000 | |
| 270 | K | A | -0.8559 | |
| 271 | L | A | 0.0000 | |
| 272 | E | A | -1.1702 | |
| 273 | S | A | -1.5405 | |
| 274 | C | A | 0.0000 | |
| 275 | G | A | -2.2472 | |
| 276 | V | A | 0.0000 | |
| 277 | T | A | -1.8948 | |
| 278 | S | A | -1.6723 | |
| 279 | D | A | -2.6972 | |
| 280 | N | A | 0.0000 | |
| 281 | C | A | 0.0000 | |
| 282 | R | A | -2.9051 | |
| 283 | D | A | -2.3701 | |
| 284 | L | A | 0.0000 | |
| 285 | C | A | -1.1038 | |
| 286 | G | A | -1.2087 | |
| 287 | I | A | 0.0000 | |
| 288 | V | A | 0.0000 | |
| 289 | A | A | -0.6121 | |
| 290 | S | A | -0.6764 | |
| 291 | G | A | 0.0000 | |
| 292 | S | A | 0.0000 | |
| 293 | N | A | 0.0000 | |
| 294 | T | A | -1.3175 | |
| 295 | K | A | -2.0197 | |
| 296 | P | A | -1.5364 | |
| 297 | N | A | -1.8586 | |
| 298 | E | A | -1.8070 | |
| 299 | A | A | -1.5339 | |
| 300 | P | A | -1.4912 | |
| 301 | H | A | -1.2276 | |
| 302 | P | A | -0.6513 | |
| 303 | G | A | 0.0000 | |
| 304 | F | A | 0.0000 | |
| 305 | T | A | -0.2519 | |
| 306 | E | A | -0.4869 | |
| 307 | L | A | 0.0000 | |
| 308 | A | A | 0.0000 | |
| 309 | L | A | 0.0000 | |
| 310 | G | A | 0.0000 | |
| 311 | S | A | 0.0000 | |
| 312 | N | A | -2.4790 | |
| 313 | K | A | -2.5748 | |
| 314 | L | A | 0.0000 | |
| 315 | G | A | -1.0829 | |
| 316 | D | A | -1.3950 | |
| 317 | V | A | 0.4241 | |
| 318 | G | A | 0.0000 | |
| 319 | M | A | 0.0000 | |
| 320 | A | A | -0.5867 | |
| 321 | E | A | -1.1435 | |
| 322 | L | A | 0.0000 | |
| 323 | C | A | 0.0000 | |
| 324 | P | A | -0.7426 | |
| 325 | G | A | 0.0000 | |
| 326 | L | A | 0.0000 | |
| 327 | L | A | -0.8568 | |
| 328 | D | A | -1.1629 | |
| 329 | A | A | 0.0000 | |
| 330 | T | A | 0.0000 | |
| 331 | Q | A | -1.7622 | |
| 332 | K | A | -1.5683 | |
| 333 | P | A | -1.0945 | |
| 334 | N | A | 0.0000 | |
| 335 | T | A | 0.0000 | |
| 336 | A | A | -1.7838 | |
| 337 | K | A | -2.3642 | |
| 338 | H | A | -1.9658 | |
| 339 | P | A | -1.3319 | |
| 340 | A | A | -1.0235 | |
| 341 | L | A | 0.0000 | |
| 342 | E | A | -2.4210 | |
| 343 | A | A | 0.0000 | |
| 344 | T | A | -0.6554 | |
| 345 | Q | A | 0.0000 | |
| 346 | P | A | 0.0000 | |
| 347 | G | A | -0.4710 | |
| 348 | T | A | -0.4224 | |
| 349 | L | A | 0.0000 | |
| 350 | W | A | -0.0507 | |
| 351 | I | A | 0.0000 | |
| 352 | W | A | 0.0000 | |
| 353 | E | A | -1.8293 | |
| 354 | C | A | -1.4999 | |
| 355 | G | A | -1.8157 | |
| 356 | I | A | 0.0000 | |
| 357 | T | A | -1.8290 | |
| 358 | A | A | 0.0000 | |
| 359 | K | A | -2.2160 | |
| 360 | G | A | 0.0000 | |
| 361 | C | A | 0.0000 | |
| 362 | G | A | -1.5548 | |
| 363 | D | A | -1.3784 | |
| 364 | L | A | 0.0000 | |
| 365 | C | A | 0.0000 | |
| 366 | R | A | -1.4693 | |
| 367 | V | A | 0.0000 | |
| 368 | L | A | 0.0000 | |
| 369 | R | A | -1.7823 | |
| 370 | A | A | -1.1881 | |
| 371 | D | A | 0.0000 | |
| 372 | A | A | -1.0936 | |
| 373 | T | A | -1.1987 | |
| 374 | Q | A | -1.0710 | |
| 375 | K | A | 0.0000 | |
| 376 | P | A | -0.8885 | |
| 377 | N | A | 0.0000 | |
| 378 | T | A | -1.0346 | |
| 379 | A | A | -1.6329 | |
| 380 | K | A | -2.1197 | |
| 381 | H | A | 0.0000 | |
| 382 | P | A | -0.9674 | |
| 383 | A | A | -0.9170 | |
| 384 | L | A | 0.0000 | |
| 385 | E | A | -1.8107 | |
| 386 | A | A | 0.0000 | |
| 387 | T | A | -0.8064 | |
| 388 | Q | A | 0.0000 | |
| 389 | P | A | 0.0000 | |
| 390 | G | A | -0.6243 | |
| 391 | E | A | -0.9669 | |
| 392 | L | A | 0.0000 | |
| 393 | S | A | -0.1819 | |
| 394 | L | A | 0.0000 | |
| 395 | A | A | 0.0000 | |
| 396 | G | A | -1.7315 | |
| 397 | N | A | -2.6411 | |
| 398 | E | A | -2.8078 | |
| 399 | L | A | 0.0000 | |
| 400 | G | A | -2.3176 | |
| 401 | D | A | -2.7583 | |
| 402 | E | A | -3.1918 | |
| 403 | G | A | 0.0000 | |
| 404 | A | A | 0.0000 | |
| 405 | R | A | -2.4422 | |
| 406 | L | A | -1.5610 | |
| 407 | L | A | -0.9137 | |
| 408 | C | A | 0.0000 | |
| 409 | E | A | -1.2032 | |
| 410 | T | A | 0.0000 | |
| 411 | L | A | 0.0000 | |
| 412 | L | A | -0.8262 | |
| 413 | D | A | -1.8545 | |
| 414 | A | A | -1.3906 | |
| 415 | T | A | 0.0000 | |
| 416 | Q | A | -1.8727 | |
| 417 | K | A | -2.5364 | |
| 418 | P | A | 0.0000 | |
| 419 | N | A | -1.8601 | |
| 420 | T | A | 0.0000 | |
| 421 | A | A | -1.4129 | |
| 422 | K | A | -2.1531 | |
| 423 | H | A | -1.6719 | |
| 424 | P | A | -1.1137 | |
| 425 | A | A | -0.8383 | |
| 426 | L | A | 0.0000 | |
| 427 | E | A | -1.4055 | |
| 428 | A | A | 0.0000 | |
| 429 | T | A | -0.6324 | |
| 430 | Q | A | 0.0000 | |
| 431 | P | A | 0.0000 | |
| 432 | G | A | -0.6512 | |
| 433 | S | A | -0.5510 | |
| 434 | L | A | 0.0000 | |
| 435 | W | A | -0.0219 | |
| 436 | V | A | 0.0000 | |
| 437 | K | A | -2.0558 | |
| 438 | S | A | -2.3140 | |
| 439 | C | A | 0.0000 | |
| 440 | S | A | -1.9722 | |
| 441 | F | A | 0.0000 | |
| 442 | T | A | -1.2659 | |
| 443 | A | A | -1.2077 | |
| 444 | A | A | -1.1323 | |
| 445 | C | A | 0.0000 | |
| 446 | C | A | 0.0000 | |
| 447 | S | A | -0.8515 | |
| 448 | H | A | -0.7604 | |
| 449 | F | A | 0.0000 | |
| 450 | S | A | -1.0574 | |
| 451 | S | A | -0.6725 | |
| 452 | V | A | 0.0000 | |
| 453 | L | A | 0.0000 | |
| 454 | A | A | -1.0683 | |
| 455 | Q | A | 0.0000 | |
| 456 | D | A | 0.0000 | |
| 457 | A | A | -1.6711 | |
| 458 | T | A | -1.2680 | |
| 459 | Q | A | -1.9115 | |
| 460 | K | A | -2.4742 | |
| 461 | P | A | -1.7414 | |
| 462 | N | A | -2.0271 | |
| 463 | T | A | -1.5520 | |
| 464 | A | A | -0.9811 | |
| 465 | K | A | -1.4021 | |
| 466 | H | A | -1.3858 | |
| 467 | P | A | -1.1877 | |
| 468 | A | A | 0.0000 | |
| 469 | L | A | -0.8888 | |
| 470 | E | A | 0.0000 | |
| 471 | A | A | 0.0000 | |
| 472 | T | A | 0.0000 | |
| 473 | Q | A | -0.5810 | |
| 474 | P | A | 0.0000 | |
| 475 | G | A | -0.5927 | |
| 476 | E | A | -0.6410 | |
| 477 | L | A | 0.0000 | |
| 478 | Q | A | -0.2298 | |
| 479 | I | A | 0.0000 | |
| 480 | S | A | -1.3755 | |
| 481 | N | A | -2.4857 | |
| 482 | N | A | 0.0000 | |
| 483 | R | A | -2.8069 | |
| 484 | L | A | 0.0000 | |
| 485 | E | A | -2.1840 | |
| 486 | D | A | -1.8048 | |
| 487 | A | A | -1.2482 | |
| 488 | G | A | 0.0000 | |
| 489 | V | A | 0.0000 | |
| 490 | R | A | -1.8646 | |
| 491 | E | A | -1.8405 | |
| 492 | L | A | 0.0000 | |
| 493 | C | A | 0.0000 | |
| 494 | Q | A | -2.5113 | |
| 495 | G | A | 0.0000 | |
| 496 | L | A | 0.0000 | |
| 497 | Q | A | -2.3515 | |
| 498 | D | A | -2.6951 | |
| 499 | A | A | 0.0000 | |
| 500 | T | A | 0.0000 | |
| 501 | Q | A | -1.8421 | |
| 502 | K | A | 0.0000 | |
| 503 | P | A | 0.0000 | |
| 504 | N | A | -2.5251 | |
| 505 | T | A | 0.0000 | |
| 506 | A | A | -1.4409 | |
| 507 | K | A | 0.0000 | |
| 508 | H | A | -0.6792 | |
| 509 | P | A | -0.6221 | |
| 510 | A | A | -0.3656 | |
| 511 | L | A | -0.2899 | |
| 512 | E | A | -0.8655 | |
| 513 | A | A | 0.0000 | |
| 514 | T | A | 0.0000 | |
| 515 | Q | A | 0.0000 | |
| 516 | P | A | 0.0000 | |
| 517 | G | A | -0.5067 | |
| 518 | V | A | -0.3546 | |
| 519 | L | A | 0.0000 | |
| 520 | W | A | 0.0435 | |
| 521 | L | A | 0.0000 | |
| 522 | A | A | 0.0000 | |
| 523 | D | A | -2.0520 | |
| 524 | C | A | 0.0000 | |
| 525 | D | A | -2.1745 | |
| 526 | V | A | 0.0000 | |
| 527 | S | A | -1.4231 | |
| 528 | D | A | -1.6301 | |
| 529 | S | A | -1.1122 | |
| 530 | S | A | 0.0000 | |
| 531 | C | A | 0.0000 | |
| 532 | S | A | -0.6707 | |
| 533 | S | A | -0.8588 | |
| 534 | L | A | 0.0000 | |
| 535 | A | A | -0.2252 | |
| 536 | A | A | -0.1443 | |
| 537 | T | A | 0.0000 | |
| 538 | L | A | 0.0000 | |
| 539 | L | A | -0.0538 | |
| 540 | T | A | -0.4312 | |
| 541 | D | A | 0.0000 | |
| 542 | A | A | 0.0000 | |
| 543 | T | A | -0.7106 | |
| 544 | Q | A | 0.0000 | |
| 545 | K | A | -2.0048 | |
| 546 | P | A | -1.6313 | |
| 547 | N | A | -2.2243 | |
| 548 | T | A | 0.0000 | |
| 549 | A | A | -1.9993 | |
| 550 | K | A | -2.4685 | |
| 551 | H | A | 0.0000 | |
| 552 | P | A | -1.0101 | |
| 553 | A | A | -0.4173 | |
| 554 | L | A | 0.0000 | |
| 555 | E | A | -0.7399 | |
| 556 | A | A | 0.0000 | |
| 557 | T | A | -0.4110 | |
| 558 | Q | A | 0.0000 | |
| 559 | P | A | 0.0000 | |
| 560 | G | A | -0.7795 | |
| 561 | E | A | -1.1377 | |
| 562 | L | A | 0.0000 | |
| 563 | D | A | 0.0000 | |
| 564 | L | A | 0.0000 | |
| 565 | S | A | 0.0000 | |
| 566 | N | A | -1.3818 | |
| 567 | N | A | -1.7793 | |
| 568 | C | A | -1.2656 | |
| 569 | L | A | 0.0000 | |
| 570 | G | A | -0.6146 | |
| 571 | D | A | -1.0107 | |
| 572 | A | A | -0.4727 | |
| 573 | G | A | 0.0000 | |
| 574 | I | A | 0.0000 | |
| 575 | L | A | -0.5536 | |
| 576 | Q | A | -0.7995 | |
| 577 | L | A | 0.0000 | |
| 578 | V | A | 0.0000 | |
| 579 | E | A | -1.3638 | |
| 580 | S | A | 0.0000 | |
| 581 | V | A | 0.0000 | |
| 582 | R | A | -2.0927 | |
| 583 | D | A | -2.0211 | |
| 584 | A | A | 0.0000 | |
| 585 | T | A | 0.0000 | |
| 586 | Q | A | -2.3431 | |
| 587 | K | A | -1.7436 | |
| 588 | P | A | -1.1256 | |
| 589 | N | A | 0.0000 | |
| 590 | T | A | -1.6132 | |
| 591 | A | A | 0.0000 | |
| 592 | K | A | -2.8161 | |
| 593 | H | A | -1.7696 | |
| 594 | P | A | -0.8602 | |
| 595 | A | A | -0.7487 | |
| 596 | L | A | -1.0972 | |
| 597 | E | A | -1.3323 | |
| 598 | A | A | 0.0000 | |
| 599 | T | A | -0.3154 | |
| 600 | Q | A | 0.0000 | |
| 601 | P | A | 0.0000 | |
| 602 | G | A | -0.7260 | |
| 603 | Q | A | -0.8918 | |
| 604 | L | A | 0.0000 | |
| 605 | V | A | 0.2323 | |
| 606 | L | A | 0.6326 | |
| 607 | Y | A | 0.3265 | |
| 608 | D | A | -1.0851 | |
| 609 | I | A | -0.2474 | |
| 610 | Y | A | 0.3571 | |
| 611 | W | A | 0.0000 | |
| 612 | S | A | -1.9401 | |
| 613 | E | A | -3.5586 | |
| 614 | E | A | -3.9123 | |
| 615 | M | A | 0.0000 | |
| 616 | E | A | -3.3976 | |
| 617 | D | A | -4.2078 | |
| 618 | R | A | -3.3604 | |
| 619 | L | A | 0.0000 | |
| 620 | Q | A | -3.1697 | |
| 621 | A | A | -2.7204 | |
| 622 | L | A | 0.0000 | |
| 623 | E | A | -2.9358 | |
| 624 | K | A | -3.3986 | |
| 625 | D | A | -2.9843 | |
| 626 | D | A | -2.7281 | |
| 627 | A | A | -2.0357 | |
| 628 | T | A | -1.9931 | |
| 629 | Q | A | -2.5921 | |
| 630 | K | A | -3.2555 | |
| 631 | P | A | 0.0000 | |
| 632 | N | A | -2.0595 | |
| 633 | T | A | 0.0000 | |
| 634 | A | A | 0.0000 | |
| 635 | K | A | -2.9019 | |
| 636 | H | A | -1.9432 | |
| 637 | P | A | -0.9560 | |
| 638 | A | A | -0.5387 | |
| 639 | L | A | -0.9158 | |
| 640 | E | A | -2.2660 | |
| 641 | A | A | -1.2395 | |
| 642 | T | A | -1.4629 | |
| 643 | Q | A | 0.0000 | |
| 644 | P | A | -1.2694 | |
| 645 | G | A | 0.0000 | |
| 646 | R | A | -1.5817 | |
| 647 | V | A | 0.0000 | |
| 648 | I | A | 0.0320 | |
| 649 | S | A | -0.0410 |
CABS-flex predictions of flexibility of input structure
In dynamic mode, A4D analysis is performed on the set of models reflecting fluctuations of the input structure (predicted
by CABS-flex method, models are numbered from 0 to 11) and the input model.
Their A4D scores are provided below in the table.
The right panel presents comparison of the most aggregation prone model (with the highest A4D score, -0.8287 in this case) with the input model
(the most aggregation prone model in blue, input in red) and RMSF plot which shows the extent of residue fluctuations in Angstroms (predicted by CABS-flex).
Model |
Average A4D Score |
|||
| model_0 | -0.8287 | View | CSV | PDB |
| model_8 | -0.8293 | View | CSV | PDB |
| model_5 | -0.8337 | View | CSV | PDB |
| model_2 | -0.8496 | View | CSV | PDB |
| model_3 | -0.8575 | View | CSV | PDB |
| model_6 | -0.8648 | View | CSV | PDB |
| CABS_average | -0.8679 | View | CSV | PDB |
| model_9 | -0.8796 | View | CSV | PDB |
| model_4 | -0.885 | View | CSV | PDB |
| model_1 | -0.8877 | View | CSV | PDB |
| model_10 | -0.8897 | View | CSV | PDB |
| model_7 | -0.8909 | View | CSV | PDB |
| model_11 | -0.9188 | View | CSV | PDB |
| input | -1.012 | View | CSV | PDB |