| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQTGNENSHPPYATTVRLDDCGLTEARCKDISSALRVTGNENSHPPYATTELNLRSNELGDVGVHCVLQGLQTGNENSHPPYATTKLSLQNCCLTGAGCGVLSSTLRTTGNENSHPPYATTELHLSDNLLGDAGLQLLCEGLLTGNENSHPPYATTKLQLEYCSLSAASCEPLASVLRATGNENSHPPYATTELTVSNNDINEAGVRVLCQGLKDTGNENSHPPYATTALKLESCGVTSDNCRDLCGIVASTGNENSHPPYATTELALGSNKLGDVGMAELCPGLLTGNENSHPPYATTTLWIWECGITAKGCGDLCRVLRATGNENSHPPYATTELSLAGNELGDEGARLLCETLLTGNENSHPPYATTSLWVKSCSFTAACCSHFSSVLAQTGNENSHPPYATTELQISNNRLEDAGVRELCQGLLTGNENSHPPYATTVLWLADCDVSDSSCSSLAATLLATGNENSHPPYATTELDLSNNCLGDAGILQLVESVRTGNENSHPPYATTQLVLYDIYWSEEMEDRLQALEKDTGNENSHPPYATTRVIS
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 (00:12:04)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:11:51)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:11:56)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:12:01)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:12:05)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:12:10)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:12:15)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:12:20)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:12:26)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:12:30)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:12:34)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:12:38)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:12:43)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:12:48)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:13:00)
[INFO] Main: Simulation completed successfully. (02:13:04)
|
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 | 0.3005 | |
| 2 | L | A | 1.4748 | |
| 3 | D | A | 0.0000 | |
| 4 | I | A | 1.9444 | |
| 5 | Q | A | 0.0000 | |
| 6 | S | A | -0.0082 | |
| 7 | L | A | 0.0000 | |
| 8 | D | A | -2.1118 | |
| 9 | I | A | 0.0000 | |
| 10 | Q | A | -2.2435 | |
| 11 | C | A | -1.8575 | |
| 12 | E | A | -2.0667 | |
| 13 | E | A | -2.6533 | |
| 14 | L | A | 0.0000 | |
| 15 | S | A | -2.1128 | |
| 16 | D | A | -2.6381 | |
| 17 | A | A | -1.7333 | |
| 18 | R | A | -2.3000 | |
| 19 | W | A | 0.0000 | |
| 20 | A | A | -1.1801 | |
| 21 | E | A | -1.4544 | |
| 22 | L | A | 0.0000 | |
| 23 | L | A | -0.4511 | |
| 24 | P | A | -0.3707 | |
| 25 | L | A | 0.4071 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -1.2126 | |
| 28 | T | A | -0.7043 | |
| 29 | G | A | -0.3851 | |
| 30 | N | A | -0.9800 | |
| 31 | E | A | -2.1283 | |
| 32 | N | A | -1.8057 | |
| 33 | S | A | -1.6530 | |
| 34 | H | A | -1.6476 | |
| 35 | P | A | 0.0000 | |
| 36 | P | A | 0.2249 | |
| 37 | Y | A | 0.0000 | |
| 38 | A | A | 0.8761 | |
| 39 | T | A | 0.0000 | |
| 40 | T | A | -0.3199 | |
| 41 | V | A | 0.0000 | |
| 42 | R | A | -1.7142 | |
| 43 | L | A | 0.0000 | |
| 44 | D | A | -2.0631 | |
| 45 | D | A | -2.1434 | |
| 46 | C | A | 0.0000 | |
| 47 | G | A | -1.0253 | |
| 48 | L | A | -0.7165 | |
| 49 | T | A | -0.8071 | |
| 50 | E | A | -1.3706 | |
| 51 | A | A | -1.5435 | |
| 52 | R | A | 0.0000 | |
| 53 | C | A | 0.0000 | |
| 54 | K | A | -2.5082 | |
| 55 | D | A | -1.9184 | |
| 56 | I | A | 0.0000 | |
| 57 | S | A | -1.7795 | |
| 58 | S | A | -1.5908 | |
| 59 | A | A | 0.0000 | |
| 60 | L | A | 0.0000 | |
| 61 | R | A | -2.2637 | |
| 62 | V | A | -1.1781 | |
| 63 | T | A | 0.0000 | |
| 64 | G | A | 0.0000 | |
| 65 | N | A | -1.6962 | |
| 66 | E | A | 0.0000 | |
| 67 | N | A | -2.0012 | |
| 68 | S | A | -1.3055 | |
| 69 | H | A | 0.0000 | |
| 70 | P | A | -0.5495 | |
| 71 | P | A | -0.0346 | |
| 72 | Y | A | 0.8349 | |
| 73 | A | A | 0.0000 | |
| 74 | T | A | -0.0429 | |
| 75 | T | A | -0.4150 | |
| 76 | E | A | -0.9560 | |
| 77 | L | A | 0.0000 | |
| 78 | N | A | -1.1946 | |
| 79 | L | A | 0.0000 | |
| 80 | R | A | -1.6737 | |
| 81 | S | A | -1.4399 | |
| 82 | N | A | -1.5592 | |
| 83 | E | A | 0.0000 | |
| 84 | L | A | 0.7140 | |
| 85 | G | A | 0.8297 | |
| 86 | D | A | 0.6301 | |
| 87 | V | A | 1.3391 | |
| 88 | G | A | 0.0000 | |
| 89 | V | A | 0.0000 | |
| 90 | H | A | -0.6865 | |
| 91 | C | A | -1.1008 | |
| 92 | V | A | 0.0000 | |
| 93 | L | A | 0.0000 | |
| 94 | Q | A | -1.9656 | |
| 95 | G | A | 0.0000 | |
| 96 | L | A | 0.0000 | |
| 97 | Q | A | -1.6565 | |
| 98 | T | A | -1.6582 | |
| 99 | G | A | 0.0000 | |
| 100 | N | A | 0.0000 | |
| 101 | E | A | -2.2598 | |
| 102 | N | A | -1.9893 | |
| 103 | S | A | 0.0000 | |
| 104 | H | A | -1.1761 | |
| 105 | P | A | 0.0000 | |
| 106 | P | A | 0.2545 | |
| 107 | Y | A | 0.8156 | |
| 108 | A | A | 0.0000 | |
| 109 | T | A | 0.0942 | |
| 110 | T | A | 0.0000 | |
| 111 | K | A | -0.8671 | |
| 112 | L | A | 0.0000 | |
| 113 | S | A | 0.0000 | |
| 114 | L | A | 0.0000 | |
| 115 | Q | A | -1.1521 | |
| 116 | N | A | -1.1465 | |
| 117 | C | A | 0.0000 | |
| 118 | C | A | 0.0093 | |
| 119 | L | A | 0.0000 | |
| 120 | T | A | -0.1696 | |
| 121 | G | A | -0.1606 | |
| 122 | A | A | 0.0565 | |
| 123 | G | A | 0.0000 | |
| 124 | C | A | 0.0000 | |
| 125 | G | A | -0.3450 | |
| 126 | V | A | -0.5019 | |
| 127 | L | A | 0.0000 | |
| 128 | S | A | -0.8518 | |
| 129 | S | A | -1.0525 | |
| 130 | T | A | 0.0000 | |
| 131 | L | A | 0.0000 | |
| 132 | R | A | -2.5022 | |
| 133 | T | A | -1.4820 | |
| 134 | T | A | 0.0000 | |
| 135 | G | A | -1.0116 | |
| 136 | N | A | -1.5266 | |
| 137 | E | A | 0.0000 | |
| 138 | N | A | -1.4208 | |
| 139 | S | A | -1.0173 | |
| 140 | H | A | 0.0000 | |
| 141 | P | A | 0.0249 | |
| 142 | P | A | 0.3542 | |
| 143 | Y | A | 1.6073 | |
| 144 | A | A | 0.0000 | |
| 145 | T | A | 0.1319 | |
| 146 | T | A | -0.2626 | |
| 147 | E | A | -0.7863 | |
| 148 | L | A | 0.0000 | |
| 149 | H | A | -0.8197 | |
| 150 | L | A | 0.0000 | |
| 151 | S | A | 0.0000 | |
| 152 | D | A | -0.9041 | |
| 153 | N | A | -1.2136 | |
| 154 | L | A | -0.7165 | |
| 155 | L | A | -0.6280 | |
| 156 | G | A | -1.0079 | |
| 157 | D | A | -1.3204 | |
| 158 | A | A | -0.7987 | |
| 159 | G | A | 0.0000 | |
| 160 | L | A | 0.0000 | |
| 161 | Q | A | -1.7877 | |
| 162 | L | A | -0.6839 | |
| 163 | L | A | 0.0000 | |
| 164 | C | A | 0.0000 | |
| 165 | E | A | -2.0217 | |
| 166 | G | A | 0.0000 | |
| 167 | L | A | -1.0370 | |
| 168 | L | A | -1.4592 | |
| 169 | T | A | -1.9027 | |
| 170 | G | A | -2.0965 | |
| 171 | N | A | -2.4429 | |
| 172 | E | A | -2.7876 | |
| 173 | N | A | -2.8149 | |
| 174 | S | A | -2.1557 | |
| 175 | H | A | -1.8429 | |
| 176 | P | A | -1.1465 | |
| 177 | P | A | -0.2489 | |
| 178 | Y | A | 0.3381 | |
| 179 | A | A | 0.0000 | |
| 180 | T | A | 0.2534 | |
| 181 | T | A | 0.0000 | |
| 182 | K | A | -0.6934 | |
| 183 | L | A | -0.4835 | |
| 184 | Q | A | -0.8485 | |
| 185 | L | A | -0.4614 | |
| 186 | E | A | -0.9221 | |
| 187 | Y | A | -0.2771 | |
| 188 | C | A | 0.0000 | |
| 189 | S | A | -1.0854 | |
| 190 | L | A | 0.0000 | |
| 191 | S | A | -1.2305 | |
| 192 | A | A | -1.1020 | |
| 193 | A | A | -0.8666 | |
| 194 | S | A | 0.0000 | |
| 195 | C | A | 0.0000 | |
| 196 | E | A | -2.2136 | |
| 197 | P | A | -1.6984 | |
| 198 | L | A | 0.0000 | |
| 199 | A | A | 0.0000 | |
| 200 | S | A | -1.5790 | |
| 201 | V | A | 0.0000 | |
| 202 | L | A | 0.0000 | |
| 203 | R | A | -2.9334 | |
| 204 | A | A | -1.7452 | |
| 205 | T | A | 0.0000 | |
| 206 | G | A | -2.5090 | |
| 207 | N | A | -2.2873 | |
| 208 | E | A | 0.0000 | |
| 209 | N | A | 0.0000 | |
| 210 | S | A | -1.0188 | |
| 211 | H | A | -0.9785 | |
| 212 | P | A | -0.6367 | |
| 213 | P | A | 0.1641 | |
| 214 | Y | A | 1.2254 | |
| 215 | A | A | 0.0759 | |
| 216 | T | A | 0.0000 | |
| 217 | T | A | -0.3155 | |
| 218 | E | A | -0.6937 | |
| 219 | L | A | 0.0000 | |
| 220 | T | A | -0.7721 | |
| 221 | V | A | 0.0000 | |
| 222 | S | A | -0.8327 | |
| 223 | N | A | 0.0000 | |
| 224 | N | A | -1.9219 | |
| 225 | D | A | -2.0527 | |
| 226 | I | A | 0.0000 | |
| 227 | N | A | -1.6114 | |
| 228 | E | A | -1.5019 | |
| 229 | A | A | -1.0679 | |
| 230 | G | A | 0.0000 | |
| 231 | V | A | 0.0000 | |
| 232 | R | A | -2.8151 | |
| 233 | V | A | -1.6438 | |
| 234 | L | A | 0.0000 | |
| 235 | C | A | 0.0000 | |
| 236 | Q | A | -2.5793 | |
| 237 | G | A | 0.0000 | |
| 238 | L | A | 0.0000 | |
| 239 | K | A | -3.3516 | |
| 240 | D | A | -3.2636 | |
| 241 | T | A | 0.0000 | |
| 242 | G | A | -2.8142 | |
| 243 | N | A | -3.2466 | |
| 244 | E | A | -3.3049 | |
| 245 | N | A | -2.9215 | |
| 246 | S | A | -1.6212 | |
| 247 | H | A | -1.4594 | |
| 248 | P | A | 0.0000 | |
| 249 | P | A | -0.3320 | |
| 250 | Y | A | 0.5579 | |
| 251 | A | A | 0.0000 | |
| 252 | T | A | 0.1291 | |
| 253 | T | A | 0.0000 | |
| 254 | A | A | 0.0000 | |
| 255 | L | A | 0.0000 | |
| 256 | K | A | -0.9961 | |
| 257 | L | A | 0.0000 | |
| 258 | E | A | 0.0000 | |
| 259 | S | A | -1.2395 | |
| 260 | C | A | 0.0000 | |
| 261 | G | A | 0.0000 | |
| 262 | V | A | 0.0000 | |
| 263 | T | A | -1.0557 | |
| 264 | S | A | -1.1301 | |
| 265 | D | A | -2.3506 | |
| 266 | N | A | 0.0000 | |
| 267 | C | A | 0.0000 | |
| 268 | R | A | -2.3417 | |
| 269 | D | A | -2.2147 | |
| 270 | L | A | -1.2510 | |
| 271 | C | A | -1.0065 | |
| 272 | G | A | -1.0975 | |
| 273 | I | A | 0.0000 | |
| 274 | V | A | -0.4226 | |
| 275 | A | A | -0.8499 | |
| 276 | S | A | -1.0773 | |
| 277 | T | A | -0.7660 | |
| 278 | G | A | -1.0007 | |
| 279 | N | A | -0.9722 | |
| 280 | E | A | 0.0000 | |
| 281 | N | A | -1.9077 | |
| 282 | S | A | -1.3398 | |
| 283 | H | A | -1.3191 | |
| 284 | P | A | -0.7108 | |
| 285 | P | A | -0.0989 | |
| 286 | Y | A | 0.4606 | |
| 287 | A | A | 0.0000 | |
| 288 | T | A | 0.0000 | |
| 289 | T | A | -0.2723 | |
| 290 | E | A | -0.7891 | |
| 291 | L | A | -0.1823 | |
| 292 | A | A | 0.0000 | |
| 293 | L | A | 0.0000 | |
| 294 | G | A | 0.0000 | |
| 295 | S | A | 0.0000 | |
| 296 | N | A | -2.0922 | |
| 297 | K | A | -2.0386 | |
| 298 | L | A | 0.0000 | |
| 299 | G | A | -0.4896 | |
| 300 | D | A | -0.0693 | |
| 301 | V | A | 0.9338 | |
| 302 | G | A | 0.0000 | |
| 303 | M | A | 0.0000 | |
| 304 | A | A | -0.1906 | |
| 305 | E | A | -0.8006 | |
| 306 | L | A | 0.0000 | |
| 307 | C | A | 0.0000 | |
| 308 | P | A | -0.6035 | |
| 309 | G | A | 0.0000 | |
| 310 | L | A | 0.0000 | |
| 311 | L | A | 0.0000 | |
| 312 | T | A | -1.1665 | |
| 313 | G | A | -1.3043 | |
| 314 | N | A | -1.7554 | |
| 315 | E | A | -2.8295 | |
| 316 | N | A | -2.6056 | |
| 317 | S | A | -2.0575 | |
| 318 | H | A | -1.9261 | |
| 319 | P | A | 0.0000 | |
| 320 | P | A | 0.1801 | |
| 321 | Y | A | 0.8658 | |
| 322 | A | A | 0.4518 | |
| 323 | T | A | 0.0056 | |
| 324 | T | A | -0.4243 | |
| 325 | T | A | -0.5765 | |
| 326 | L | A | 0.0000 | |
| 327 | W | A | 0.3658 | |
| 328 | I | A | 0.0000 | |
| 329 | W | A | 0.1159 | |
| 330 | E | A | -1.5547 | |
| 331 | C | A | 0.0000 | |
| 332 | G | A | -1.5372 | |
| 333 | I | A | 0.0000 | |
| 334 | T | A | -1.1456 | |
| 335 | A | A | -1.4708 | |
| 336 | K | A | -1.5683 | |
| 337 | G | A | 0.0000 | |
| 338 | C | A | 0.0000 | |
| 339 | G | A | -1.1745 | |
| 340 | D | A | 0.0000 | |
| 341 | L | A | 0.0000 | |
| 342 | C | A | -1.2476 | |
| 343 | R | A | -1.5979 | |
| 344 | V | A | 0.0000 | |
| 345 | L | A | -1.1251 | |
| 346 | R | A | -2.2724 | |
| 347 | A | A | -1.9047 | |
| 348 | T | A | 0.0000 | |
| 349 | G | A | 0.0000 | |
| 350 | N | A | 0.0000 | |
| 351 | E | A | -2.7740 | |
| 352 | N | A | -2.6668 | |
| 353 | S | A | -2.0912 | |
| 354 | H | A | -1.6308 | |
| 355 | P | A | 0.0000 | |
| 356 | P | A | -0.0340 | |
| 357 | Y | A | 0.8397 | |
| 358 | A | A | 0.0000 | |
| 359 | T | A | -0.1177 | |
| 360 | T | A | -0.5882 | |
| 361 | E | A | -1.3318 | |
| 362 | L | A | 0.0000 | |
| 363 | S | A | 0.0000 | |
| 364 | L | A | 0.0000 | |
| 365 | A | A | 0.0000 | |
| 366 | G | A | -1.2219 | |
| 367 | N | A | -1.7458 | |
| 368 | E | A | -2.2972 | |
| 369 | L | A | 0.0000 | |
| 370 | G | A | -1.7476 | |
| 371 | D | A | -1.9961 | |
| 372 | E | A | -2.6061 | |
| 373 | G | A | 0.0000 | |
| 374 | A | A | 0.0000 | |
| 375 | R | A | -2.3283 | |
| 376 | L | A | -1.5745 | |
| 377 | L | A | 0.0000 | |
| 378 | C | A | 0.0000 | |
| 379 | E | A | -2.0394 | |
| 380 | T | A | -1.3357 | |
| 381 | L | A | 0.0000 | |
| 382 | L | A | -1.1029 | |
| 383 | T | A | -1.5039 | |
| 384 | G | A | -1.9361 | |
| 385 | N | A | 0.0000 | |
| 386 | E | A | -2.7127 | |
| 387 | N | A | -2.5057 | |
| 388 | S | A | -2.0303 | |
| 389 | H | A | 0.0000 | |
| 390 | P | A | -0.6729 | |
| 391 | P | A | -0.2043 | |
| 392 | Y | A | 0.0000 | |
| 393 | A | A | 0.0000 | |
| 394 | T | A | -0.2195 | |
| 395 | T | A | 0.0000 | |
| 396 | S | A | -0.6340 | |
| 397 | L | A | 0.0000 | |
| 398 | W | A | 0.0307 | |
| 399 | V | A | 0.0000 | |
| 400 | K | A | -0.9130 | |
| 401 | S | A | -1.7592 | |
| 402 | C | A | 0.0000 | |
| 403 | S | A | -1.9846 | |
| 404 | F | A | 0.0000 | |
| 405 | T | A | -1.3169 | |
| 406 | A | A | -0.9659 | |
| 407 | A | A | -0.9858 | |
| 408 | C | A | 0.0000 | |
| 409 | C | A | 0.0000 | |
| 410 | S | A | -0.8355 | |
| 411 | H | A | -0.9783 | |
| 412 | F | A | 0.0000 | |
| 413 | S | A | -0.7188 | |
| 414 | S | A | -0.7085 | |
| 415 | V | A | 0.0000 | |
| 416 | L | A | 0.0000 | |
| 417 | A | A | -0.7519 | |
| 418 | Q | A | -1.0914 | |
| 419 | T | A | 0.0000 | |
| 420 | G | A | 0.0000 | |
| 421 | N | A | -1.2498 | |
| 422 | E | A | 0.0000 | |
| 423 | N | A | -1.7718 | |
| 424 | S | A | -1.1514 | |
| 425 | H | A | 0.0000 | |
| 426 | P | A | -0.4231 | |
| 427 | P | A | -0.1423 | |
| 428 | Y | A | 0.0000 | |
| 429 | A | A | 0.0000 | |
| 430 | T | A | 0.0155 | |
| 431 | T | A | 0.0000 | |
| 432 | E | A | -0.6192 | |
| 433 | L | A | 0.0000 | |
| 434 | Q | A | -0.0812 | |
| 435 | I | A | 0.0000 | |
| 436 | S | A | 0.0000 | |
| 437 | N | A | 0.0000 | |
| 438 | N | A | -3.0762 | |
| 439 | R | A | -3.3241 | |
| 440 | L | A | 0.0000 | |
| 441 | E | A | -2.6438 | |
| 442 | D | A | -1.8419 | |
| 443 | A | A | -1.1903 | |
| 444 | G | A | 0.0000 | |
| 445 | V | A | 0.0000 | |
| 446 | R | A | -1.4275 | |
| 447 | E | A | -1.2661 | |
| 448 | L | A | 0.0000 | |
| 449 | C | A | 0.0000 | |
| 450 | Q | A | -1.3829 | |
| 451 | G | A | 0.0000 | |
| 452 | L | A | -0.5017 | |
| 453 | L | A | -0.4852 | |
| 454 | T | A | -1.1912 | |
| 455 | G | A | 0.0000 | |
| 456 | N | A | -1.6315 | |
| 457 | E | A | -2.6306 | |
| 458 | N | A | -2.6213 | |
| 459 | S | A | -1.7934 | |
| 460 | H | A | 0.0000 | |
| 461 | P | A | 0.0000 | |
| 462 | P | A | 0.1770 | |
| 463 | Y | A | 1.1087 | |
| 464 | A | A | 0.0000 | |
| 465 | T | A | 0.1330 | |
| 466 | T | A | 0.0000 | |
| 467 | V | A | 0.0000 | |
| 468 | L | A | 0.0000 | |
| 469 | W | A | 0.1092 | |
| 470 | L | A | 0.0000 | |
| 471 | A | A | -1.4464 | |
| 472 | D | A | -2.7550 | |
| 473 | C | A | 0.0000 | |
| 474 | D | A | -1.9452 | |
| 475 | V | A | 0.0000 | |
| 476 | S | A | -1.0679 | |
| 477 | D | A | -1.6333 | |
| 478 | S | A | -1.0082 | |
| 479 | S | A | 0.0000 | |
| 480 | C | A | 0.0000 | |
| 481 | S | A | -0.7277 | |
| 482 | S | A | -0.3637 | |
| 483 | L | A | 0.0000 | |
| 484 | A | A | 0.0000 | |
| 485 | A | A | 0.3798 | |
| 486 | T | A | 0.0000 | |
| 487 | L | A | 0.0000 | |
| 488 | L | A | 1.3613 | |
| 489 | A | A | 0.0000 | |
| 490 | T | A | 0.0000 | |
| 491 | G | A | 0.0000 | |
| 492 | N | A | -0.7619 | |
| 493 | E | A | 0.0000 | |
| 494 | N | A | -1.6800 | |
| 495 | S | A | -1.1148 | |
| 496 | H | A | -0.8160 | |
| 497 | P | A | -0.2645 | |
| 498 | P | A | 0.1008 | |
| 499 | Y | A | 0.8514 | |
| 500 | A | A | 0.0000 | |
| 501 | T | A | 0.1965 | |
| 502 | T | A | 0.0000 | |
| 503 | E | A | -0.7249 | |
| 504 | L | A | 0.0000 | |
| 505 | D | A | 0.0000 | |
| 506 | L | A | 0.0000 | |
| 507 | S | A | -1.0203 | |
| 508 | N | A | -1.9636 | |
| 509 | N | A | 0.0000 | |
| 510 | C | A | 0.0470 | |
| 511 | L | A | 0.0000 | |
| 512 | G | A | 0.1422 | |
| 513 | D | A | -0.8642 | |
| 514 | A | A | -0.6637 | |
| 515 | G | A | 0.0000 | |
| 516 | I | A | 0.0000 | |
| 517 | L | A | -1.1175 | |
| 518 | Q | A | -1.5108 | |
| 519 | L | A | 0.0000 | |
| 520 | V | A | 0.0000 | |
| 521 | E | A | -2.2673 | |
| 522 | S | A | -0.9995 | |
| 523 | V | A | 0.0000 | |
| 524 | R | A | -2.0225 | |
| 525 | T | A | -1.5184 | |
| 526 | G | A | 0.0000 | |
| 527 | N | A | 0.0000 | |
| 528 | E | A | -3.1959 | |
| 529 | N | A | -2.6693 | |
| 530 | S | A | 0.0000 | |
| 531 | H | A | -1.7172 | |
| 532 | P | A | -0.6606 | |
| 533 | P | A | 0.0225 | |
| 534 | Y | A | 0.9712 | |
| 535 | A | A | 0.0000 | |
| 536 | T | A | 0.0000 | |
| 537 | T | A | 0.0000 | |
| 538 | Q | A | -0.9347 | |
| 539 | L | A | 0.0000 | |
| 540 | V | A | 0.4026 | |
| 541 | L | A | 0.0000 | |
| 542 | Y | A | 0.1191 | |
| 543 | D | A | -0.8600 | |
| 544 | I | A | 0.8608 | |
| 545 | Y | A | 1.6215 | |
| 546 | W | A | 0.5673 | |
| 547 | S | A | -1.3842 | |
| 548 | E | A | -3.2477 | |
| 549 | E | A | -3.5432 | |
| 550 | M | A | 0.0000 | |
| 551 | E | A | -3.6120 | |
| 552 | D | A | -4.1598 | |
| 553 | R | A | -3.5496 | |
| 554 | L | A | 0.0000 | |
| 555 | Q | A | -2.8767 | |
| 556 | A | A | -2.4963 | |
| 557 | L | A | 0.0000 | |
| 558 | E | A | -2.7850 | |
| 559 | K | A | -3.0460 | |
| 560 | D | A | -2.5508 | |
| 561 | T | A | -2.1575 | |
| 562 | G | A | -2.0125 | |
| 563 | N | A | -2.1940 | |
| 564 | E | A | -1.9353 | |
| 565 | N | A | -1.8425 | |
| 566 | S | A | -1.5698 | |
| 567 | H | A | -1.5480 | |
| 568 | P | A | -1.1071 | |
| 569 | P | A | -0.4996 | |
| 570 | Y | A | 0.0425 | |
| 571 | A | A | 0.0000 | |
| 572 | T | A | 0.0000 | |
| 573 | T | A | 0.0000 | |
| 574 | R | A | -1.8966 | |
| 575 | V | A | 0.0000 | |
| 576 | I | A | 0.5960 | |
| 577 | S | A | -0.0126 |
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, -0.7095 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_10 | -0.7095 | View | CSV | PDB |
| model_4 | -0.7403 | View | CSV | PDB |
| model_5 | -0.7517 | View | CSV | PDB |
| model_2 | -0.7551 | View | CSV | PDB |
| model_1 | -0.7598 | View | CSV | PDB |
| model_9 | -0.778 | View | CSV | PDB |
| CABS_average | -0.7839 | View | CSV | PDB |
| model_7 | -0.7866 | View | CSV | PDB |
| model_0 | -0.7899 | View | CSV | PDB |
| model_6 | -0.7931 | View | CSV | PDB |
| model_11 | -0.8175 | View | CSV | PDB |
| model_8 | -0.8418 | View | CSV | PDB |
| model_3 | -0.8838 | View | CSV | PDB |
| input | -0.9422 | View | CSV | PDB |