| Chain sequence(s) |
A: MTMTLHTKASGMALLHQIQGNELEPLNRPQLKIPLERPLGEVYLDSSKPAVYNYPEGAAYEFNAAAAANAQVYGQTGLPYGPGSEAAAFGSNGLGGFPPLNSVSPSPLMLLHPPPQLSPFLQPHGQQVPYYLENEPSGYTVREAGPPAFYRPNSDNRRQGGRERLASTNDKGSMAMESAKETRYCAVCNDYASGYHYGVWSCEGCKAFFKRSIQGHNDYMCPATNQCTIDKNRRKSCQACRLRKCYEVGMMKGGIRKDRRGGRMLKHKRQRDDGEGRGEVGSAGDMRAANLWPSPLMIKRSKKNSLALSLTADQMVSALLDAEPPILYSEYDPTRPFSEASMMGLLTNLADRELVHMINWAKRVPGFVDLTLHDQVHLLECAWLEILMIGLVWRSMEHPGKLLFAPNLLLDRNQGKCVEGMVEIFDMLLATSSRFRMMNLQGEEFVCLKSIILLNSGVYTFLSSTLKSLEEKDHIHRVLDKITDTLIHLMAKAGLTLQQQHQRLAQLLLILSHIRHMSNKGMEHLYSMKCKNVVPLYDLLLEMLDAHRLHAPTSRGGASVEETDQSHLATAGSTSSHSLQKYYITGEAEGFPATV
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 |
| Mutated residues | SE118A |
| Energy difference between WT (input) and mutated protein (by FoldX) | 0.993718 kcal/mol |
| Downloads | Download all the data |
| Simulation log |
[INFO] Logger: Verbosity set to: 2 - [INFO] (00:00:02)
[WARNING] runJob: Working directory already exists (possibly overwriting previous results -ow
to prevent this behavior) (00:00:02)
[INFO] runJob: Starting aggrescan3d job on: input.pdb with A chain(s) selected (00:00:02)
[INFO] runJob: Creating pdb object from: input.pdb (00:00:02)
[INFO] FoldX: Starting FoldX energy minimization (00:00:03)
[INFO] FoldX: Building mutant model (00:21:37)
[INFO] CABS: Running CABS flex simulation (00:21:58)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:42:22)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:42:28)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:42:34)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:42:41)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:42:47)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:42:53)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:42:59)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:43:05)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:43:11)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:43:18)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:43:24)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:43:30)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:43:36)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:43:52)
[INFO] Main: Simulation completed successfully. (02:43:58)
|
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 | M | A | 0.8264 | |
| 2 | T | A | 0.4432 | |
| 3 | M | A | 0.7394 | |
| 4 | T | A | 0.2642 | |
| 5 | L | A | 0.5105 | |
| 6 | H | A | 0.0000 | |
| 7 | T | A | -0.6857 | |
| 8 | K | A | -1.6947 | |
| 9 | A | A | -0.6548 | |
| 10 | S | A | -0.3505 | |
| 11 | G | A | 0.0000 | |
| 12 | M | A | 0.5900 | |
| 13 | A | A | -0.0374 | |
| 14 | L | A | -0.1891 | |
| 15 | L | A | -0.2079 | |
| 16 | H | A | -1.4933 | |
| 17 | Q | A | -1.7453 | |
| 18 | I | A | 0.0000 | |
| 19 | Q | A | -1.5094 | |
| 20 | G | A | -1.8347 | |
| 21 | N | A | -2.0703 | |
| 22 | E | A | -1.7643 | |
| 23 | L | A | 0.0000 | |
| 24 | E | A | -1.3501 | |
| 25 | P | A | -0.8168 | |
| 26 | L | A | -0.2496 | |
| 27 | N | A | -0.8741 | |
| 28 | R | A | -1.9059 | |
| 29 | P | A | -1.4879 | |
| 30 | Q | A | -2.5002 | |
| 31 | L | A | -1.8017 | |
| 32 | K | A | -2.2516 | |
| 33 | I | A | 0.0000 | |
| 34 | P | A | -1.2048 | |
| 35 | L | A | -0.8815 | |
| 36 | E | A | -0.8900 | |
| 37 | R | A | -1.5560 | |
| 38 | P | A | 0.0000 | |
| 39 | L | A | 1.0345 | |
| 40 | G | A | -0.1096 | |
| 41 | E | A | -0.5253 | |
| 42 | V | A | 1.7667 | |
| 43 | Y | A | 2.1008 | |
| 44 | L | A | 1.6363 | |
| 45 | D | A | 0.0000 | |
| 46 | S | A | 0.0000 | |
| 47 | S | A | -0.6428 | |
| 48 | K | A | -1.9086 | |
| 49 | P | A | -0.9050 | |
| 50 | A | A | -0.9276 | |
| 51 | V | A | 0.0000 | |
| 52 | Y | A | 0.0000 | |
| 53 | N | A | -0.0944 | |
| 54 | Y | A | -0.0823 | |
| 55 | P | A | -0.7746 | |
| 56 | E | A | -1.7867 | |
| 57 | G | A | -1.3055 | |
| 58 | A | A | -0.3390 | |
| 59 | A | A | 0.1459 | |
| 60 | Y | A | 0.0000 | |
| 61 | E | A | -0.6790 | |
| 62 | F | A | 0.0000 | |
| 63 | N | A | -0.4686 | |
| 64 | A | A | 0.0000 | |
| 65 | A | A | -0.6135 | |
| 66 | A | A | -0.1953 | |
| 67 | A | A | 0.0906 | |
| 68 | A | A | -0.4672 | |
| 69 | N | A | -0.7852 | |
| 70 | A | A | -0.1382 | |
| 71 | Q | A | 0.4050 | |
| 72 | V | A | 1.9062 | |
| 73 | Y | A | 1.1188 | |
| 74 | G | A | -0.1736 | |
| 75 | Q | A | -1.5981 | |
| 76 | T | A | 0.0000 | |
| 77 | G | A | -0.3539 | |
| 78 | L | A | 0.0000 | |
| 79 | P | A | 0.2564 | |
| 80 | Y | A | 0.0000 | |
| 81 | G | A | -0.1312 | |
| 82 | P | A | 0.0000 | |
| 83 | G | A | -0.5689 | |
| 84 | S | A | -0.3915 | |
| 85 | E | A | -0.2544 | |
| 86 | A | A | 0.0786 | |
| 87 | A | A | 0.0000 | |
| 88 | A | A | 0.7690 | |
| 89 | F | A | 1.4636 | |
| 90 | G | A | -0.0433 | |
| 91 | S | A | -0.6692 | |
| 92 | N | A | -1.7677 | |
| 93 | G | A | -1.3522 | |
| 94 | L | A | -0.5926 | |
| 95 | G | A | -0.9775 | |
| 96 | G | A | -0.7010 | |
| 97 | F | A | 0.0000 | |
| 98 | P | A | 0.3601 | |
| 99 | P | A | 0.0000 | |
| 100 | L | A | 1.4551 | |
| 101 | N | A | 0.0000 | |
| 102 | S | A | 0.1794 | |
| 103 | V | A | 0.1924 | |
| 104 | S | A | -0.3242 | |
| 105 | P | A | -0.2807 | |
| 106 | S | A | 0.0014 | |
| 107 | P | A | 0.5664 | |
| 108 | L | A | 1.4567 | |
| 109 | M | A | 1.9511 | |
| 110 | L | A | 1.9416 | |
| 111 | L | A | 0.8981 | |
| 112 | H | A | -0.3685 | |
| 113 | P | A | -0.3174 | |
| 114 | P | A | -0.3671 | |
| 115 | P | A | -0.4209 | |
| 116 | Q | A | -0.4765 | |
| 117 | L | A | 0.5408 | |
| 118 | E | A | -0.8421 | mutated: SE118A |
| 119 | P | A | 0.0000 | |
| 120 | F | A | 0.0000 | |
| 121 | L | A | -0.7487 | |
| 122 | Q | A | -0.7571 | |
| 123 | P | A | -1.0173 | |
| 124 | H | A | -1.7808 | |
| 125 | G | A | -1.0845 | |
| 126 | Q | A | -0.9225 | |
| 127 | Q | A | 0.0000 | |
| 128 | V | A | 0.7813 | |
| 129 | P | A | 1.4088 | |
| 130 | Y | A | 2.0243 | |
| 131 | Y | A | 0.8801 | |
| 132 | L | A | 0.9996 | |
| 133 | E | A | -1.1311 | |
| 134 | N | A | -1.9561 | |
| 135 | E | A | 0.0000 | |
| 136 | P | A | -1.4333 | |
| 137 | S | A | -1.2237 | |
| 138 | G | A | -0.4009 | |
| 139 | Y | A | -0.4107 | |
| 140 | T | A | -0.3373 | |
| 141 | V | A | -0.5102 | |
| 142 | R | A | -2.1363 | |
| 143 | E | A | -1.9247 | |
| 144 | A | A | -1.7234 | |
| 145 | G | A | -1.2445 | |
| 146 | P | A | -0.8216 | |
| 147 | P | A | -0.3421 | |
| 148 | A | A | 0.6431 | |
| 149 | F | A | 0.0000 | |
| 150 | Y | A | 1.8527 | |
| 151 | R | A | 0.5412 | |
| 152 | P | A | -0.2812 | |
| 153 | N | A | -1.0325 | |
| 154 | S | A | 0.0000 | |
| 155 | D | A | 0.0000 | |
| 156 | N | A | -3.4274 | |
| 157 | R | A | -3.7612 | |
| 158 | R | A | -3.6226 | |
| 159 | Q | A | -3.0130 | |
| 160 | G | A | -2.3789 | |
| 161 | G | A | -2.5121 | |
| 162 | R | A | -3.4253 | |
| 163 | E | A | -3.1210 | |
| 164 | R | A | -1.9888 | |
| 165 | L | A | 0.1004 | |
| 166 | A | A | 0.0885 | |
| 167 | S | A | -0.3968 | |
| 168 | T | A | -1.0376 | |
| 169 | N | A | -2.5016 | |
| 170 | D | A | -1.9812 | |
| 171 | K | A | -2.8117 | |
| 172 | G | A | -1.0479 | |
| 173 | S | A | 0.0320 | |
| 174 | M | A | 1.3894 | |
| 175 | A | A | 1.0157 | |
| 176 | M | A | 0.7408 | |
| 177 | E | A | -1.4477 | |
| 178 | S | A | -1.5008 | |
| 179 | A | A | -1.4737 | |
| 180 | K | A | -2.4417 | |
| 181 | E | A | -1.9013 | |
| 182 | T | A | -1.5007 | |
| 183 | R | A | -1.6220 | |
| 184 | Y | A | 0.0000 | |
| 185 | C | A | -1.1008 | |
| 186 | A | A | -0.9101 | |
| 187 | V | A | -1.1662 | |
| 188 | C | A | 0.0000 | |
| 189 | N | A | -1.9520 | |
| 190 | D | A | -2.3539 | |
| 191 | Y | A | -1.2545 | |
| 192 | A | A | -1.2002 | |
| 193 | S | A | -1.2095 | |
| 194 | G | A | -1.0391 | |
| 195 | Y | A | -0.5662 | |
| 196 | H | A | -0.4382 | |
| 197 | Y | A | 0.5747 | |
| 198 | G | A | 0.7827 | |
| 199 | V | A | 1.7423 | |
| 200 | W | A | 0.4072 | |
| 201 | S | A | -0.3253 | |
| 202 | C | A | 0.0000 | |
| 203 | E | A | -1.8456 | |
| 204 | G | A | -1.0449 | |
| 205 | C | A | 0.0000 | |
| 206 | K | A | -1.4034 | |
| 207 | A | A | -1.3618 | |
| 208 | F | A | -1.0386 | |
| 209 | F | A | 0.0000 | |
| 210 | K | A | -2.3563 | |
| 211 | R | A | -2.7255 | |
| 212 | S | A | 0.0000 | |
| 213 | I | A | 0.0000 | |
| 214 | Q | A | -1.9436 | |
| 215 | G | A | -1.4144 | |
| 216 | H | A | -1.1525 | |
| 217 | N | A | 0.0000 | |
| 218 | D | A | -0.3750 | |
| 219 | Y | A | 0.0000 | |
| 220 | M | A | 0.2604 | |
| 221 | C | A | 0.0000 | |
| 222 | P | A | 0.0000 | |
| 223 | A | A | 0.0000 | |
| 224 | T | A | -1.1985 | |
| 225 | N | A | -1.9412 | |
| 226 | Q | A | 0.0000 | |
| 227 | C | A | 0.0000 | |
| 228 | T | A | 0.0000 | |
| 229 | I | A | -1.2162 | |
| 230 | D | A | -2.3075 | |
| 231 | K | A | -3.2315 | |
| 232 | N | A | -2.5753 | |
| 233 | R | A | 0.0000 | |
| 234 | R | A | -2.9991 | |
| 235 | K | A | 0.0000 | |
| 236 | S | A | -0.9608 | |
| 237 | C | A | -0.3849 | |
| 238 | Q | A | -0.1833 | |
| 239 | A | A | 0.0637 | |
| 240 | C | A | 0.0000 | |
| 241 | R | A | 0.0000 | |
| 242 | L | A | -0.4414 | |
| 243 | R | A | 0.0000 | |
| 244 | K | A | 0.0000 | |
| 245 | C | A | 0.0000 | |
| 246 | Y | A | 0.0000 | |
| 247 | E | A | -1.3934 | |
| 248 | V | A | 0.0000 | |
| 249 | G | A | -0.9174 | |
| 250 | M | A | 0.0000 | |
| 251 | M | A | -0.1667 | |
| 252 | K | A | -1.6593 | |
| 253 | G | A | -1.0023 | |
| 254 | G | A | -0.5979 | |
| 255 | I | A | -0.5258 | |
| 256 | R | A | -1.1664 | |
| 257 | K | A | -2.6464 | |
| 258 | D | A | -2.8852 | |
| 259 | R | A | -3.7120 | |
| 260 | R | A | -3.7369 | |
| 261 | G | A | -2.6620 | |
| 262 | G | A | -2.1522 | |
| 263 | R | A | -1.9468 | |
| 264 | M | A | 0.5846 | |
| 265 | L | A | 1.0082 | |
| 266 | K | A | -0.2594 | |
| 267 | H | A | -0.5646 | |
| 268 | K | A | -1.1214 | |
| 269 | R | A | -1.5096 | |
| 270 | Q | A | -2.4264 | |
| 271 | R | A | -3.2422 | |
| 272 | D | A | -3.7500 | |
| 273 | D | A | -3.6601 | |
| 274 | G | A | -2.9840 | |
| 275 | E | A | -3.8182 | |
| 276 | G | A | -3.3872 | |
| 277 | R | A | -3.9885 | |
| 278 | G | A | -2.9361 | |
| 279 | E | A | -2.6859 | |
| 280 | V | A | -1.1575 | |
| 281 | G | A | -0.9732 | |
| 282 | S | A | -0.6695 | |
| 283 | A | A | -0.5308 | |
| 284 | G | A | -0.9244 | |
| 285 | D | A | -1.1211 | |
| 286 | M | A | 0.0000 | |
| 287 | R | A | -0.7575 | |
| 288 | A | A | -0.7229 | |
| 289 | A | A | 0.0000 | |
| 290 | N | A | 0.0000 | |
| 291 | L | A | 0.0000 | |
| 292 | W | A | 0.4018 | |
| 293 | P | A | -0.3236 | |
| 294 | S | A | -1.2277 | |
| 295 | P | A | 0.0000 | |
| 296 | L | A | -0.9046 | |
| 297 | M | A | -0.2361 | |
| 298 | I | A | 0.0000 | |
| 299 | K | A | -0.8662 | |
| 300 | R | A | -0.8194 | |
| 301 | S | A | 0.0000 | |
| 302 | K | A | -0.1125 | |
| 303 | K | A | 0.0000 | |
| 304 | N | A | -1.4739 | |
| 305 | S | A | -1.3713 | |
| 306 | L | A | 0.0000 | |
| 307 | A | A | 0.0595 | |
| 308 | L | A | -0.4096 | |
| 309 | S | A | -0.2518 | |
| 310 | L | A | 0.0000 | |
| 311 | T | A | -1.0982 | |
| 312 | A | A | -1.6321 | |
| 313 | D | A | -2.5819 | |
| 314 | Q | A | -2.0040 | |
| 315 | M | A | -1.4646 | |
| 316 | V | A | 0.0000 | |
| 317 | S | A | -1.4427 | |
| 318 | A | A | -1.2432 | |
| 319 | L | A | 0.0000 | |
| 320 | L | A | -1.0507 | |
| 321 | D | A | -2.5960 | |
| 322 | A | A | 0.0000 | |
| 323 | E | A | 0.0000 | |
| 324 | P | A | 0.0000 | |
| 325 | P | A | 0.0000 | |
| 326 | I | A | -0.0869 | |
| 327 | L | A | 0.0000 | |
| 328 | Y | A | 0.0914 | |
| 329 | S | A | 0.0000 | |
| 330 | E | A | -1.0260 | |
| 331 | Y | A | 0.0000 | |
| 332 | D | A | 0.0000 | |
| 333 | P | A | 0.0000 | |
| 334 | T | A | 0.0000 | |
| 335 | R | A | 0.0000 | |
| 336 | P | A | 0.0000 | |
| 337 | F | A | -0.0214 | |
| 338 | S | A | -0.6079 | |
| 339 | E | A | -1.4281 | |
| 340 | A | A | -0.6251 | |
| 341 | S | A | -0.4180 | |
| 342 | M | A | 0.0000 | |
| 343 | M | A | 0.0000 | |
| 344 | G | A | 0.0000 | |
| 345 | L | A | 0.0000 | |
| 346 | L | A | 0.0000 | |
| 347 | T | A | 0.0000 | |
| 348 | N | A | 0.0000 | |
| 349 | L | A | 0.0000 | |
| 350 | A | A | 0.0000 | |
| 351 | D | A | 0.0000 | |
| 352 | R | A | 0.0000 | |
| 353 | E | A | 0.0000 | |
| 354 | L | A | 0.0000 | |
| 355 | V | A | 0.0000 | |
| 356 | H | A | 0.0000 | |
| 357 | M | A | 0.0000 | |
| 358 | I | A | 0.0000 | |
| 359 | N | A | 0.0000 | |
| 360 | W | A | 0.0000 | |
| 361 | A | A | 0.0000 | |
| 362 | K | A | -0.7365 | |
| 363 | R | A | -2.0602 | |
| 364 | V | A | 0.0000 | |
| 365 | P | A | 0.0000 | |
| 366 | G | A | -0.6742 | |
| 367 | F | A | 0.0000 | |
| 368 | V | A | 1.3337 | |
| 369 | D | A | 0.0000 | |
| 370 | L | A | 0.0000 | |
| 371 | T | A | 0.0000 | |
| 372 | L | A | 1.7381 | |
| 373 | H | A | 0.8721 | |
| 374 | D | A | 0.0000 | |
| 375 | Q | A | 0.6373 | |
| 376 | V | A | 0.6880 | |
| 377 | H | A | -0.0494 | |
| 378 | L | A | 0.0000 | |
| 379 | L | A | 0.0000 | |
| 380 | E | A | -0.3626 | |
| 381 | C | A | 0.0000 | |
| 382 | A | A | 0.0000 | |
| 383 | W | A | 0.0000 | |
| 384 | L | A | 0.0000 | |
| 385 | E | A | 0.0000 | |
| 386 | I | A | 0.0000 | |
| 387 | L | A | 0.0000 | |
| 388 | M | A | 0.0000 | |
| 389 | I | A | 0.0000 | |
| 390 | G | A | 0.0000 | |
| 391 | L | A | 0.0000 | |
| 392 | V | A | 0.0000 | |
| 393 | W | A | 0.0000 | |
| 394 | R | A | 0.0000 | |
| 395 | S | A | 0.0000 | |
| 396 | M | A | 0.0000 | |
| 397 | E | A | -1.0333 | |
| 398 | H | A | 0.0000 | |
| 399 | P | A | -0.1989 | |
| 400 | G | A | 0.0000 | |
| 401 | K | A | 0.3714 | |
| 402 | L | A | 0.0000 | |
| 403 | L | A | 0.5935 | |
| 404 | F | A | 0.0000 | |
| 405 | A | A | 0.0000 | |
| 406 | P | A | -0.5262 | |
| 407 | N | A | -1.0113 | |
| 408 | L | A | 0.0000 | |
| 409 | L | A | 0.0000 | |
| 410 | L | A | 0.0000 | |
| 411 | D | A | 0.0000 | |
| 412 | R | A | 0.0000 | |
| 413 | N | A | 0.0000 | |
| 414 | Q | A | 0.0000 | |
| 415 | G | A | 0.0000 | |
| 416 | K | A | -1.6146 | |
| 417 | C | A | -0.9879 | |
| 418 | V | A | 0.0000 | |
| 419 | E | A | -2.4659 | |
| 420 | G | A | -1.9022 | |
| 421 | M | A | 0.0000 | |
| 422 | V | A | -1.5099 | |
| 423 | E | A | -2.0666 | |
| 424 | I | A | 0.0000 | |
| 425 | F | A | 0.0000 | |
| 426 | D | A | -0.4590 | |
| 427 | M | A | -0.1138 | |
| 428 | L | A | 0.0000 | |
| 429 | L | A | 0.0000 | |
| 430 | A | A | 0.0000 | |
| 431 | T | A | 0.0000 | |
| 432 | S | A | 0.0000 | |
| 433 | S | A | -0.2272 | |
| 434 | R | A | -0.1567 | |
| 435 | F | A | 0.0000 | |
| 436 | R | A | -1.8788 | |
| 437 | M | A | -0.1536 | |
| 438 | M | A | 0.0000 | |
| 439 | N | A | -1.3560 | |
| 440 | L | A | 0.0000 | |
| 441 | Q | A | -1.0700 | |
| 442 | G | A | 0.0000 | |
| 443 | E | A | -0.5529 | |
| 444 | E | A | 0.0000 | |
| 445 | F | A | 0.0000 | |
| 446 | V | A | 0.0000 | |
| 447 | C | A | 0.0000 | |
| 448 | L | A | 0.0000 | |
| 449 | K | A | 0.0000 | |
| 450 | S | A | 0.0000 | |
| 451 | I | A | 0.0000 | |
| 452 | I | A | 0.0000 | |
| 453 | L | A | 0.0000 | |
| 454 | L | A | 0.0000 | |
| 455 | N | A | 0.0000 | |
| 456 | S | A | 0.0000 | |
| 457 | G | A | 0.0000 | |
| 458 | V | A | 0.0000 | |
| 459 | Y | A | 0.3157 | |
| 460 | T | A | 0.2406 | |
| 461 | F | A | 0.4935 | |
| 462 | L | A | 0.5422 | |
| 463 | S | A | -0.1812 | |
| 464 | S | A | 0.0000 | |
| 465 | T | A | 0.0000 | |
| 466 | L | A | 0.0000 | |
| 467 | K | A | -1.3405 | |
| 468 | S | A | 0.0000 | |
| 469 | L | A | 0.0000 | |
| 470 | E | A | 0.0000 | |
| 471 | E | A | 0.0000 | |
| 472 | K | A | 0.0000 | |
| 473 | D | A | -1.0395 | |
| 474 | H | A | 0.0000 | |
| 475 | I | A | 0.0000 | |
| 476 | H | A | -1.1853 | |
| 477 | R | A | -1.9042 | |
| 478 | V | A | 0.0000 | |
| 479 | L | A | 0.0000 | |
| 480 | D | A | -1.3230 | |
| 481 | K | A | -1.3531 | |
| 482 | I | A | 0.0000 | |
| 483 | T | A | 0.0000 | |
| 484 | D | A | -1.0449 | |
| 485 | T | A | 0.0000 | |
| 486 | L | A | 0.0000 | |
| 487 | I | A | -0.1161 | |
| 488 | H | A | -1.4800 | |
| 489 | L | A | 0.0000 | |
| 490 | M | A | 0.0000 | |
| 491 | A | A | -0.7997 | |
| 492 | K | A | -1.8813 | |
| 493 | A | A | -1.0619 | |
| 494 | G | A | -0.6931 | |
| 495 | L | A | -0.1414 | |
| 496 | T | A | -0.0087 | |
| 497 | L | A | 0.4544 | |
| 498 | Q | A | -1.2644 | |
| 499 | Q | A | -1.3239 | |
| 500 | Q | A | 0.0000 | |
| 501 | H | A | -1.1617 | |
| 502 | Q | A | -1.8922 | |
| 503 | R | A | -1.2855 | |
| 504 | L | A | 0.0000 | |
| 505 | A | A | -0.6951 | |
| 506 | Q | A | -0.6867 | |
| 507 | L | A | 0.0000 | |
| 508 | L | A | -0.1733 | |
| 509 | L | A | -0.1133 | |
| 510 | I | A | 0.0000 | |
| 511 | L | A | 0.0000 | |
| 512 | S | A | 0.0000 | |
| 513 | H | A | 0.0000 | |
| 514 | I | A | 0.0000 | |
| 515 | R | A | -0.7105 | |
| 516 | H | A | -0.8686 | |
| 517 | M | A | 0.0000 | |
| 518 | S | A | 0.0000 | |
| 519 | N | A | -1.0730 | |
| 520 | K | A | -1.3681 | |
| 521 | G | A | 0.0000 | |
| 522 | M | A | 0.0000 | |
| 523 | E | A | -1.9853 | |
| 524 | H | A | -1.4209 | |
| 525 | L | A | 0.0000 | |
| 526 | Y | A | -0.3747 | |
| 527 | S | A | -0.7339 | |
| 528 | M | A | 0.0000 | |
| 529 | K | A | 0.0000 | |
| 530 | C | A | 0.0461 | |
| 531 | K | A | -1.3369 | |
| 532 | N | A | -0.6265 | |
| 533 | V | A | 0.0000 | |
| 534 | V | A | 1.0669 | |
| 535 | P | A | 0.5743 | |
| 536 | L | A | 0.0000 | |
| 537 | Y | A | 0.4939 | |
| 538 | D | A | -0.0063 | |
| 539 | L | A | 0.0000 | |
| 540 | L | A | 0.0000 | |
| 541 | L | A | 0.0000 | |
| 542 | E | A | -0.7127 | |
| 543 | M | A | 0.0000 | |
| 544 | L | A | 0.0000 | |
| 545 | D | A | -0.6687 | |
| 546 | A | A | -0.5138 | |
| 547 | H | A | 0.0000 | |
| 548 | R | A | -0.8972 | |
| 549 | L | A | -0.2949 | |
| 550 | H | A | 0.0000 | |
| 551 | A | A | -0.7867 | |
| 552 | P | A | -0.7704 | |
| 553 | T | A | -0.4417 | |
| 554 | S | A | -1.0186 | |
| 555 | R | A | -2.0557 | |
| 556 | G | A | -1.2451 | |
| 557 | G | A | -0.9133 | |
| 558 | A | A | -0.6674 | |
| 559 | S | A | -1.5187 | |
| 560 | V | A | 0.0000 | |
| 561 | E | A | -3.1816 | |
| 562 | E | A | -2.3968 | |
| 563 | T | A | -1.7567 | |
| 564 | D | A | -2.8389 | |
| 565 | Q | A | -1.9144 | |
| 566 | S | A | -0.6601 | |
| 567 | H | A | 0.0000 | |
| 568 | L | A | 1.6724 | |
| 569 | A | A | 0.8043 | |
| 570 | T | A | -0.0812 | |
| 571 | A | A | -0.6153 | |
| 572 | G | A | -1.0946 | |
| 573 | S | A | 0.0000 | |
| 574 | T | A | 0.1947 | |
| 575 | S | A | 0.5561 | |
| 576 | S | A | 0.2913 | |
| 577 | H | A | 0.0000 | |
| 578 | S | A | -0.0582 | |
| 579 | L | A | 0.0000 | |
| 580 | Q | A | 0.0000 | |
| 581 | K | A | -0.3628 | |
| 582 | Y | A | 1.3600 | |
| 583 | Y | A | 2.0252 | |
| 584 | I | A | 1.3501 | |
| 585 | T | A | 0.2258 | |
| 586 | G | A | -0.6584 | |
| 587 | E | A | 0.0000 | |
| 588 | A | A | -0.9969 | |
| 589 | E | A | -1.2901 | |
| 590 | G | A | -0.1794 | |
| 591 | F | A | 1.0486 | |
| 592 | P | A | 0.2866 | |
| 593 | A | A | 0.2568 | |
| 594 | T | A | 0.6080 | |
| 595 | V | A | 1.5508 |
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, -0.4987 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_4 | -0.4987 | View | CSV | PDB |
| model_6 | -0.5013 | View | CSV | PDB |
| model_5 | -0.5021 | View | CSV | PDB |
| model_7 | -0.5137 | View | CSV | PDB |
| model_8 | -0.5257 | View | CSV | PDB |
| model_11 | -0.5267 | View | CSV | PDB |
| model_10 | -0.528 | View | CSV | PDB |
| CABS_average | -0.5284 | View | CSV | PDB |
| model_2 | -0.5286 | View | CSV | PDB |
| model_1 | -0.5302 | View | CSV | PDB |
| model_3 | -0.5434 | View | CSV | PDB |
| model_9 | -0.5593 | View | CSV | PDB |
| input | -0.5642 | View | CSV | PDB |
| model_0 | -0.5835 | View | CSV | PDB |