| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQTGNENSHPPYATTVRLDDCGLTEARCKDISSALRVTGNENSHPPYATTELNLRSNELGDVGVHCVLQGLQTGNENSHPPYATTKLSLQNCCLTGAGCGVLSSTLRTTGNENSHPPYATTELHLSDNLLGDAGLQLLCEGLLTGNENSHPPYATTKLQLEYCSLSAASCEPLASVLRATGNENSHPPYATTELTVSNNDINEAGVRVLCQGLKDTGNENSHPPYATTALKLESCGVTSDNCRDLCGIVASTGNENSHPPYATTELALGSNKLGDVGMAELCPGLLTGNENSHPPYATTTLWIWECGITAKGCGDLCRVLRATGNENSHPPYATTELSLAGNELGDEGARLLCETLLTGNENSHPPYATTSLWVKSCSFTAACCSHFSSVLAQTGNENSHPPYATTELQISNNRLEDAGVRELCQGLGTGNENSHPPYATTVLWLADCDVSDSSCSSLAATLLATGNENSHPPYATTELDLSNNCLGDAGILQLVESVRTGNENSHPPYATTQLVLYDIYWSEEMEDRLQALEKDTGNENSHPPYATTRVIS
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 (00:08:24)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (01:59:49)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (01:59:54)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (01:59:59)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:00:03)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:00:07)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:00:12)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:00:16)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:00:21)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:00:25)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:00:30)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:00:35)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:00:39)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:00:44)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:00:56)
[INFO] Main: Simulation completed successfully. (02:01:02)
|
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 | -0.1390 | |
| 2 | L | A | 1.1732 | |
| 3 | D | A | 0.6781 | |
| 4 | I | A | 1.9713 | |
| 5 | Q | A | 0.0000 | |
| 6 | S | A | -0.1851 | |
| 7 | L | A | -1.1499 | |
| 8 | D | A | -2.6072 | |
| 9 | I | A | 0.0000 | |
| 10 | Q | A | -2.9994 | |
| 11 | C | A | 0.0000 | |
| 12 | E | A | -3.1714 | |
| 13 | E | A | -2.5390 | |
| 14 | L | A | -0.9153 | |
| 15 | S | A | -1.6727 | |
| 16 | D | A | -2.4113 | |
| 17 | A | A | -1.8293 | |
| 18 | R | A | -2.4329 | |
| 19 | W | A | 0.0000 | |
| 20 | A | A | -1.6972 | |
| 21 | E | A | -2.1700 | |
| 22 | L | A | 0.0000 | |
| 23 | L | A | 0.0000 | |
| 24 | P | A | -0.8154 | |
| 25 | L | A | 0.0851 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -1.0472 | |
| 28 | T | A | -0.7451 | |
| 29 | G | A | -0.2417 | |
| 30 | N | A | 0.0000 | |
| 31 | E | A | -2.2699 | |
| 32 | N | A | -2.1549 | |
| 33 | S | A | -1.5671 | |
| 34 | H | A | -1.4121 | |
| 35 | P | A | -0.0975 | |
| 36 | P | A | 0.3756 | |
| 37 | Y | A | 1.1742 | |
| 38 | A | A | 1.2441 | |
| 39 | T | A | 0.0000 | |
| 40 | T | A | -0.2531 | |
| 41 | V | A | 0.0000 | |
| 42 | R | A | -2.7633 | |
| 43 | L | A | 0.0000 | |
| 44 | D | A | -2.7564 | |
| 45 | D | A | -2.8373 | |
| 46 | C | A | 0.0000 | |
| 47 | G | A | -2.0826 | |
| 48 | L | A | 0.0000 | |
| 49 | T | A | -1.5321 | |
| 50 | E | A | -1.7248 | |
| 51 | A | A | -1.5246 | |
| 52 | R | A | 0.0000 | |
| 53 | C | A | 0.0000 | |
| 54 | K | A | -2.5455 | |
| 55 | D | A | -2.1871 | |
| 56 | I | A | 0.0000 | |
| 57 | S | A | 0.0000 | |
| 58 | S | A | -1.4148 | |
| 59 | A | A | 0.0000 | |
| 60 | L | A | 0.0000 | |
| 61 | R | A | -2.0035 | |
| 62 | V | A | -0.8709 | |
| 63 | T | A | 0.0000 | |
| 64 | G | A | 0.0000 | |
| 65 | N | A | -2.2342 | |
| 66 | E | A | -1.9969 | |
| 67 | N | A | -1.9221 | |
| 68 | S | A | -1.3235 | |
| 69 | H | A | -0.8122 | |
| 70 | P | A | -0.2804 | |
| 71 | P | A | 0.0871 | |
| 72 | Y | A | 0.8386 | |
| 73 | A | A | 0.0000 | |
| 74 | T | A | 0.1911 | |
| 75 | T | A | 0.0000 | |
| 76 | E | A | -0.8878 | |
| 77 | L | A | 0.0000 | |
| 78 | N | A | -1.5247 | |
| 79 | L | A | 0.0000 | |
| 80 | R | A | -2.8875 | |
| 81 | S | A | -2.2604 | |
| 82 | N | A | -2.4466 | |
| 83 | E | A | -2.6877 | |
| 84 | L | A | 0.0000 | |
| 85 | G | A | -0.8732 | |
| 86 | D | A | -0.2932 | |
| 87 | V | A | 0.4823 | |
| 88 | G | A | 0.0000 | |
| 89 | V | A | 0.0000 | |
| 90 | H | A | -0.4110 | |
| 91 | C | A | -1.0260 | |
| 92 | V | A | 0.0000 | |
| 93 | L | A | 0.0000 | |
| 94 | Q | A | -1.5823 | |
| 95 | G | A | 0.0000 | |
| 96 | L | A | 0.0000 | |
| 97 | Q | A | -1.5923 | |
| 98 | T | A | -1.7319 | |
| 99 | G | A | 0.0000 | |
| 100 | N | A | 0.0000 | |
| 101 | E | A | -2.5670 | |
| 102 | N | A | 0.0000 | |
| 103 | S | A | -1.8317 | |
| 104 | H | A | 0.0000 | |
| 105 | P | A | 0.0000 | |
| 106 | P | A | -0.5701 | |
| 107 | Y | A | 0.1089 | |
| 108 | A | A | 0.0000 | |
| 109 | T | A | 0.0000 | |
| 110 | T | A | 0.0000 | |
| 111 | K | A | -1.0508 | |
| 112 | L | A | 0.0000 | |
| 113 | S | A | -1.1107 | |
| 114 | L | A | 0.0000 | |
| 115 | Q | A | -2.1091 | |
| 116 | N | A | -2.3985 | |
| 117 | C | A | 0.0000 | |
| 118 | C | A | -0.8153 | |
| 119 | L | A | 0.0000 | |
| 120 | T | A | 0.1440 | |
| 121 | G | A | 0.2475 | |
| 122 | A | A | 0.3165 | |
| 123 | G | A | 0.0000 | |
| 124 | C | A | 0.0000 | |
| 125 | G | A | -0.0765 | |
| 126 | V | A | -0.1398 | |
| 127 | L | A | 0.0000 | |
| 128 | S | A | -0.6333 | |
| 129 | S | A | -0.9693 | |
| 130 | T | A | 0.0000 | |
| 131 | L | A | 0.0000 | |
| 132 | R | A | -2.4482 | |
| 133 | T | A | 0.0000 | |
| 134 | T | A | 0.0000 | |
| 135 | G | A | 0.0000 | |
| 136 | N | A | -1.7504 | |
| 137 | E | A | 0.0000 | |
| 138 | N | A | -2.2304 | |
| 139 | S | A | 0.0000 | |
| 140 | H | A | -1.6383 | |
| 141 | P | A | -0.9903 | |
| 142 | P | A | -0.5993 | |
| 143 | Y | A | 0.0000 | |
| 144 | A | A | 0.0000 | |
| 145 | T | A | -0.1857 | |
| 146 | T | A | 0.0000 | |
| 147 | E | A | -1.0933 | |
| 148 | L | A | 0.0000 | |
| 149 | H | A | -0.9918 | |
| 150 | L | A | 0.0000 | |
| 151 | S | A | 0.0000 | |
| 152 | D | A | -1.3335 | |
| 153 | N | A | -1.2204 | |
| 154 | L | A | -0.0320 | |
| 155 | L | A | 0.9437 | |
| 156 | G | A | 0.0000 | |
| 157 | D | A | -0.6475 | |
| 158 | A | A | -0.0941 | |
| 159 | G | A | 0.0000 | |
| 160 | L | A | 0.0000 | |
| 161 | Q | A | -1.2603 | |
| 162 | L | A | -0.3273 | |
| 163 | L | A | -0.4788 | |
| 164 | C | A | -0.8398 | |
| 165 | E | A | -1.6659 | |
| 166 | G | A | 0.0000 | |
| 167 | L | A | -0.9021 | |
| 168 | L | A | -0.8483 | |
| 169 | T | A | -1.7322 | |
| 170 | G | A | 0.0000 | |
| 171 | N | A | -2.0153 | |
| 172 | E | A | -2.5519 | |
| 173 | N | A | -2.5400 | |
| 174 | S | A | -1.6403 | |
| 175 | H | A | -1.4080 | |
| 176 | P | A | 0.0000 | |
| 177 | P | A | -0.5090 | |
| 178 | Y | A | 0.2594 | |
| 179 | A | A | 0.0000 | |
| 180 | T | A | -0.2974 | |
| 181 | T | A | -0.5289 | |
| 182 | K | A | -0.9608 | |
| 183 | L | A | -0.6196 | |
| 184 | Q | A | -0.8479 | |
| 185 | L | A | 0.0000 | |
| 186 | E | A | -1.2098 | |
| 187 | Y | A | -0.3616 | |
| 188 | C | A | 0.0000 | |
| 189 | S | A | -0.8953 | |
| 190 | L | A | 0.0000 | |
| 191 | S | A | -1.1893 | |
| 192 | A | A | -1.3165 | |
| 193 | A | A | -0.8916 | |
| 194 | S | A | 0.0000 | |
| 195 | C | A | 0.0000 | |
| 196 | E | A | -2.1252 | |
| 197 | P | A | -1.3867 | |
| 198 | L | A | 0.0000 | |
| 199 | A | A | 0.0000 | |
| 200 | S | A | -1.0292 | |
| 201 | V | A | 0.0000 | |
| 202 | L | A | 0.0000 | |
| 203 | R | A | -2.1301 | |
| 204 | A | A | -1.0932 | |
| 205 | T | A | -1.0545 | |
| 206 | G | A | 0.0000 | |
| 207 | N | A | -1.2954 | |
| 208 | E | A | -1.1289 | |
| 209 | N | A | -0.9416 | |
| 210 | S | A | -0.9610 | |
| 211 | H | A | -1.3489 | |
| 212 | P | A | -0.7812 | |
| 213 | P | A | -0.3022 | |
| 214 | Y | A | 0.0000 | |
| 215 | A | A | 0.0000 | |
| 216 | T | A | -0.2030 | |
| 217 | T | A | -0.4167 | |
| 218 | E | A | -0.8087 | |
| 219 | L | A | 0.0000 | |
| 220 | T | A | 0.0000 | |
| 221 | V | A | 0.0000 | |
| 222 | S | A | -0.8137 | |
| 223 | N | A | 0.0000 | |
| 224 | N | A | -1.9350 | |
| 225 | D | A | -2.0779 | |
| 226 | I | A | 0.0000 | |
| 227 | N | A | -2.1737 | |
| 228 | E | A | -2.8930 | |
| 229 | A | A | -1.9376 | |
| 230 | G | A | 0.0000 | |
| 231 | V | A | 0.0000 | |
| 232 | R | A | -3.1806 | |
| 233 | V | A | -1.7852 | |
| 234 | L | A | 0.0000 | |
| 235 | C | A | 0.0000 | |
| 236 | Q | A | -2.0346 | |
| 237 | G | A | 0.0000 | |
| 238 | L | A | -1.6707 | |
| 239 | K | A | -2.3371 | |
| 240 | D | A | -2.6909 | |
| 241 | T | A | 0.0000 | |
| 242 | G | A | -2.4054 | |
| 243 | N | A | -2.9963 | |
| 244 | E | A | -3.2338 | |
| 245 | N | A | -2.3554 | |
| 246 | S | A | -1.5506 | |
| 247 | H | A | -1.2514 | |
| 248 | P | A | 0.0000 | |
| 249 | P | A | -0.4371 | |
| 250 | Y | A | 0.7892 | |
| 251 | A | A | 0.0000 | |
| 252 | T | A | -0.0303 | |
| 253 | T | A | -0.3103 | |
| 254 | A | A | 0.0000 | |
| 255 | L | A | 0.0000 | |
| 256 | K | A | -0.4877 | |
| 257 | L | A | 0.0000 | |
| 258 | E | A | -1.0355 | |
| 259 | S | A | -1.5937 | |
| 260 | C | A | 0.0000 | |
| 261 | G | A | 0.0000 | |
| 262 | V | A | 0.0000 | |
| 263 | T | A | -1.6585 | |
| 264 | S | A | -1.6174 | |
| 265 | D | A | -3.2265 | |
| 266 | N | A | 0.0000 | |
| 267 | C | A | 0.0000 | |
| 268 | R | A | -3.1301 | |
| 269 | D | A | -2.4278 | |
| 270 | L | A | 0.0000 | |
| 271 | C | A | -1.1277 | |
| 272 | G | A | -1.0698 | |
| 273 | I | A | 0.0000 | |
| 274 | V | A | 0.0000 | |
| 275 | A | A | -0.6946 | |
| 276 | S | A | -0.8996 | |
| 277 | T | A | -0.4392 | |
| 278 | G | A | -0.5220 | |
| 279 | N | A | -1.0496 | |
| 280 | E | A | 0.0000 | |
| 281 | N | A | -1.9474 | |
| 282 | S | A | -1.3609 | |
| 283 | H | A | -0.9094 | |
| 284 | P | A | -0.4843 | |
| 285 | P | A | 0.2832 | |
| 286 | Y | A | 0.9477 | |
| 287 | A | A | 0.0000 | |
| 288 | T | A | 0.2252 | |
| 289 | T | A | -0.2369 | |
| 290 | E | A | -0.3420 | |
| 291 | L | A | 0.0000 | |
| 292 | A | A | 0.0000 | |
| 293 | L | A | 0.0000 | |
| 294 | G | A | 0.0000 | |
| 295 | S | A | -1.6454 | |
| 296 | N | A | -2.4677 | |
| 297 | K | A | -2.4375 | |
| 298 | L | A | -0.9628 | |
| 299 | G | A | -0.3530 | |
| 300 | D | A | -0.1292 | |
| 301 | V | A | 1.0975 | |
| 302 | G | A | 0.0000 | |
| 303 | M | A | 0.0000 | |
| 304 | A | A | -0.5438 | |
| 305 | E | A | -1.1475 | |
| 306 | L | A | 0.0000 | |
| 307 | C | A | 0.0000 | |
| 308 | P | A | -0.7103 | |
| 309 | G | A | 0.0000 | |
| 310 | L | A | 0.0000 | |
| 311 | L | A | -0.6855 | |
| 312 | T | A | -0.7875 | |
| 313 | G | A | 0.0000 | |
| 314 | N | A | 0.0000 | |
| 315 | E | A | -2.3735 | |
| 316 | N | A | -2.3302 | |
| 317 | S | A | -1.7884 | |
| 318 | H | A | 0.0000 | |
| 319 | P | A | 0.0000 | |
| 320 | P | A | 0.5534 | |
| 321 | Y | A | 1.6086 | |
| 322 | A | A | 0.6869 | |
| 323 | T | A | 0.3799 | |
| 324 | T | A | 0.0232 | |
| 325 | T | A | 0.0703 | |
| 326 | L | A | 0.0000 | |
| 327 | W | A | 0.6681 | |
| 328 | I | A | 0.0000 | |
| 329 | W | A | -0.6824 | |
| 330 | E | A | -2.3342 | |
| 331 | C | A | 0.0000 | |
| 332 | G | A | -1.3369 | |
| 333 | I | A | 0.0000 | |
| 334 | T | A | -1.5654 | |
| 335 | A | A | -1.8603 | |
| 336 | K | A | -1.7590 | |
| 337 | G | A | 0.0000 | |
| 338 | C | A | 0.0000 | |
| 339 | G | A | -1.2793 | |
| 340 | D | A | 0.0000 | |
| 341 | L | A | 0.0000 | |
| 342 | C | A | 0.0000 | |
| 343 | R | A | -1.5843 | |
| 344 | V | A | 0.0000 | |
| 345 | L | A | -0.8774 | |
| 346 | R | A | -2.0163 | |
| 347 | A | A | -1.8455 | |
| 348 | T | A | -1.6734 | |
| 349 | G | A | -1.9448 | |
| 350 | N | A | -2.5681 | |
| 351 | E | A | -3.0196 | |
| 352 | N | A | -2.3763 | |
| 353 | S | A | -1.6111 | |
| 354 | H | A | -1.3025 | |
| 355 | P | A | 0.0000 | |
| 356 | P | A | 0.2684 | |
| 357 | Y | A | 0.9561 | |
| 358 | A | A | 0.5357 | |
| 359 | T | A | 0.3296 | |
| 360 | T | A | 0.0266 | |
| 361 | E | A | 0.0000 | |
| 362 | L | A | 0.4702 | |
| 363 | S | A | 0.0000 | |
| 364 | L | A | 0.0000 | |
| 365 | A | A | 0.0000 | |
| 366 | G | A | -1.5598 | |
| 367 | N | A | -1.9605 | |
| 368 | E | A | -1.8151 | |
| 369 | L | A | 0.0000 | |
| 370 | G | A | -1.6870 | |
| 371 | D | A | -2.0370 | |
| 372 | E | A | -2.6983 | |
| 373 | G | A | 0.0000 | |
| 374 | A | A | 0.0000 | |
| 375 | R | A | -1.6969 | |
| 376 | L | A | -1.3664 | |
| 377 | L | A | 0.0000 | |
| 378 | C | A | 0.0000 | |
| 379 | E | A | -1.0547 | |
| 380 | T | A | 0.0000 | |
| 381 | L | A | -0.4553 | |
| 382 | L | A | -0.5407 | |
| 383 | T | A | -1.2749 | |
| 384 | G | A | 0.0000 | |
| 385 | N | A | 0.0000 | |
| 386 | E | A | -2.2589 | |
| 387 | N | A | -2.1062 | |
| 388 | S | A | -1.4491 | |
| 389 | H | A | -0.8792 | |
| 390 | P | A | -0.3842 | |
| 391 | P | A | 0.0000 | |
| 392 | Y | A | 0.3922 | |
| 393 | A | A | 0.0000 | |
| 394 | T | A | 0.0605 | |
| 395 | T | A | -0.0731 | |
| 396 | S | A | -0.2339 | |
| 397 | L | A | 0.0000 | |
| 398 | W | A | -0.1517 | |
| 399 | V | A | 0.0000 | |
| 400 | K | A | -1.2261 | |
| 401 | S | A | -1.5311 | |
| 402 | C | A | 0.0000 | |
| 403 | S | A | -1.3110 | |
| 404 | F | A | 0.0000 | |
| 405 | T | A | -0.8950 | |
| 406 | A | A | -0.9495 | |
| 407 | A | A | -0.3406 | |
| 408 | C | A | 0.0000 | |
| 409 | C | A | 0.0000 | |
| 410 | S | A | -0.8402 | |
| 411 | H | A | -0.6889 | |
| 412 | F | A | 0.0000 | |
| 413 | S | A | 0.0000 | |
| 414 | S | A | -0.5373 | |
| 415 | V | A | 0.0000 | |
| 416 | L | A | 0.0000 | |
| 417 | A | A | -0.9120 | |
| 418 | Q | A | -0.9929 | |
| 419 | T | A | 0.0000 | |
| 420 | G | A | 0.0000 | |
| 421 | N | A | -1.2111 | |
| 422 | E | A | -1.1395 | |
| 423 | N | A | -1.3274 | |
| 424 | S | A | -0.9738 | |
| 425 | H | A | -0.7306 | |
| 426 | P | A | -0.3759 | |
| 427 | P | A | 0.0177 | |
| 428 | Y | A | 0.3048 | |
| 429 | A | A | 0.0000 | |
| 430 | T | A | 0.0000 | |
| 431 | T | A | 0.0000 | |
| 432 | E | A | -0.7025 | |
| 433 | L | A | 0.0000 | |
| 434 | Q | A | -0.5657 | |
| 435 | I | A | 0.0000 | |
| 436 | S | A | -1.4331 | |
| 437 | N | A | -2.3632 | |
| 438 | N | A | 0.0000 | |
| 439 | R | A | -3.0732 | |
| 440 | L | A | 0.0000 | |
| 441 | E | A | -2.5576 | |
| 442 | D | A | -2.3750 | |
| 443 | A | A | -1.4891 | |
| 444 | G | A | 0.0000 | |
| 445 | V | A | 0.0000 | |
| 446 | R | A | -2.8831 | |
| 447 | E | A | -2.2812 | |
| 448 | L | A | 0.0000 | |
| 449 | C | A | 0.0000 | |
| 450 | Q | A | -2.2573 | |
| 451 | G | A | 0.0000 | |
| 452 | L | A | 0.0000 | |
| 453 | G | A | -1.4166 | |
| 454 | T | A | -1.6162 | |
| 455 | G | A | 0.0000 | |
| 456 | N | A | -1.9973 | |
| 457 | E | A | -2.9318 | |
| 458 | N | A | -2.5873 | |
| 459 | S | A | -2.0840 | |
| 460 | H | A | -1.7379 | |
| 461 | P | A | 0.0000 | |
| 462 | P | A | -0.3309 | |
| 463 | Y | A | 0.4066 | |
| 464 | A | A | 0.2081 | |
| 465 | T | A | -0.0022 | |
| 466 | T | A | 0.0000 | |
| 467 | V | A | 0.0000 | |
| 468 | L | A | 0.0000 | |
| 469 | W | A | 0.0000 | |
| 470 | L | A | 0.0000 | |
| 471 | A | A | -1.6701 | |
| 472 | D | A | -2.9686 | |
| 473 | C | A | 0.0000 | |
| 474 | D | A | -3.0556 | |
| 475 | V | A | 0.0000 | |
| 476 | S | A | -1.1083 | |
| 477 | D | A | -1.2489 | |
| 478 | S | A | -1.2279 | |
| 479 | S | A | 0.0000 | |
| 480 | C | A | 0.0000 | |
| 481 | S | A | -0.6953 | |
| 482 | S | A | 0.0000 | |
| 483 | L | A | 0.0000 | |
| 484 | A | A | -0.0333 | |
| 485 | A | A | 0.0852 | |
| 486 | T | A | 0.0000 | |
| 487 | L | A | 0.0000 | |
| 488 | L | A | 0.4369 | |
| 489 | A | A | 0.0000 | |
| 490 | T | A | 0.0000 | |
| 491 | G | A | 0.0000 | |
| 492 | N | A | 0.0000 | |
| 493 | E | A | -1.9751 | |
| 494 | N | A | -1.5070 | |
| 495 | S | A | -0.9858 | |
| 496 | H | A | 0.0000 | |
| 497 | P | A | -0.2547 | |
| 498 | P | A | 0.0184 | |
| 499 | Y | A | 0.6763 | |
| 500 | A | A | 0.0000 | |
| 501 | T | A | -0.1322 | |
| 502 | T | A | 0.0000 | |
| 503 | E | A | -1.4856 | |
| 504 | L | A | 0.0000 | |
| 505 | D | A | -0.8791 | |
| 506 | L | A | 0.0000 | |
| 507 | S | A | -1.1213 | |
| 508 | N | A | -1.9344 | |
| 509 | N | A | 0.0000 | |
| 510 | C | A | -0.4448 | |
| 511 | L | A | 0.0000 | |
| 512 | G | A | -0.1695 | |
| 513 | D | A | -0.6321 | |
| 514 | A | A | -0.5535 | |
| 515 | G | A | 0.0000 | |
| 516 | I | A | 0.0000 | |
| 517 | L | A | -0.8436 | |
| 518 | Q | A | -1.1194 | |
| 519 | L | A | 0.0000 | |
| 520 | V | A | 0.0000 | |
| 521 | E | A | -2.2124 | |
| 522 | S | A | -1.0670 | |
| 523 | V | A | 0.0000 | |
| 524 | R | A | -1.9694 | |
| 525 | T | A | -1.5898 | |
| 526 | G | A | 0.0000 | |
| 527 | N | A | 0.0000 | |
| 528 | E | A | -1.9452 | |
| 529 | N | A | -1.6962 | |
| 530 | S | A | 0.0000 | |
| 531 | H | A | -0.8570 | |
| 532 | P | A | -0.3415 | |
| 533 | P | A | -0.0709 | |
| 534 | Y | A | 0.0000 | |
| 535 | A | A | 0.0000 | |
| 536 | T | A | -0.2328 | |
| 537 | T | A | 0.0000 | |
| 538 | Q | A | -0.9452 | |
| 539 | L | A | 0.0000 | |
| 540 | V | A | 0.5176 | |
| 541 | L | A | 0.0000 | |
| 542 | Y | A | 0.0393 | |
| 543 | D | A | -1.2911 | |
| 544 | I | A | 0.1654 | |
| 545 | Y | A | 1.1779 | |
| 546 | W | A | -0.2393 | |
| 547 | S | A | -1.5430 | |
| 548 | E | A | -3.6168 | |
| 549 | E | A | -3.7748 | |
| 550 | M | A | 0.0000 | |
| 551 | E | A | -3.5687 | |
| 552 | D | A | -4.2776 | |
| 553 | R | A | -3.5378 | |
| 554 | L | A | 0.0000 | |
| 555 | Q | A | -3.4515 | |
| 556 | A | A | -2.5148 | |
| 557 | L | A | 0.0000 | |
| 558 | E | A | -3.0442 | |
| 559 | K | A | -3.1355 | |
| 560 | D | A | -2.5144 | |
| 561 | T | A | -1.5931 | |
| 562 | G | A | -1.3243 | |
| 563 | N | A | -1.6870 | |
| 564 | E | A | -2.1741 | |
| 565 | N | A | -1.5638 | |
| 566 | S | A | -1.1007 | |
| 567 | H | A | -0.8685 | |
| 568 | P | A | -0.5510 | |
| 569 | P | A | -0.1957 | |
| 570 | Y | A | 0.2418 | |
| 571 | A | A | 0.0000 | |
| 572 | T | A | -0.5846 | |
| 573 | T | A | 0.0000 | |
| 574 | R | A | 0.0000 | |
| 575 | V | A | 0.0000 | |
| 576 | I | A | 0.9982 | |
| 577 | S | A | -0.0571 |
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, -0.7276 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_6 | -0.7276 | View | CSV | PDB |
| model_3 | -0.7715 | View | CSV | PDB |
| model_2 | -0.7808 | View | CSV | PDB |
| model_11 | -0.7881 | View | CSV | PDB |
| model_10 | -0.7921 | View | CSV | PDB |
| model_7 | -0.7957 | View | CSV | PDB |
| CABS_average | -0.7986 | View | CSV | PDB |
| model_8 | -0.7989 | View | CSV | PDB |
| model_4 | -0.8008 | View | CSV | PDB |
| model_5 | -0.8254 | View | CSV | PDB |
| model_0 | -0.8289 | View | CSV | PDB |
| model_1 | -0.8357 | View | CSV | PDB |
| model_9 | -0.8374 | View | CSV | PDB |
| input | -0.9445 | View | CSV | PDB |