| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQGSNTKPNEAPHPGFTVRLDDCGLTEARCKDISSALRVGSNTKPNEAPHPGFTELNLRSNELGDVGVHCVLQGLQGSNTKPNEAPHPGFTKLSLQNCCLTGAGCGVLSSTLRTGSNTKPNEAPHPGFTELHLSDNLLGDAGLQLLCEGLLGSNTKPNEAPHPGFTKLQLEYCSLSAASCEPLASVLRAGSNTKPNEAPHPGFTELTVSNNDINEAGVRVLCQGLKDGSNTKPNEAPHPGFTALKLESCGVTSDNCRDLCGIVASGSNTKPNEAPHPGFTELALGSNKLGDVGMAELCPGLLDATQKPNTAKHPALEATQPGTLWIWECGITAKGCGDLCRVLRADATQKPNTAKHPALEATQPGELSLAGNELGDEGARLLCETLLDATQKPNTAKHPALEATQPGSLWVKSCSFTAACCSHFSSVLAQDATQKPNTAKHPALEATQPGELQISNNRLEDAGVRELCQGLGDATQKPNTAKHPALEATQPGVLWLADCDVSDSSCSSLAATLLADATQKPNTAKHPALEATQPGELDLSNNCLGDAGILQLVESVRDATQKPNTAKHPALEATQPGQLVLYDIYWSEEMEDRLQALEKDDATQKPNTAKHPALEATQPGRVIS
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 (00:11:24)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:46:58)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:47:06)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:47:13)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:47:20)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:47:28)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:47:35)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:47:43)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:47:50)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:47:58)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:48:06)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:48:13)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:48:21)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:48:28)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:48:47)
[INFO] Main: Simulation completed successfully. (02:48:55)
|
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 | 0.3262 | |
| 2 | L | A | 1.1464 | |
| 3 | D | A | 0.6116 | |
| 4 | I | A | 1.7193 | |
| 5 | Q | A | 0.5979 | |
| 6 | S | A | -0.5492 | |
| 7 | L | A | 0.0000 | |
| 8 | D | A | -2.5256 | |
| 9 | I | A | 0.0000 | |
| 10 | Q | A | -3.1839 | |
| 11 | C | A | -3.2190 | |
| 12 | E | A | -3.2991 | |
| 13 | E | A | -3.5086 | |
| 14 | L | A | -2.9416 | |
| 15 | S | A | -2.4945 | |
| 16 | D | A | -2.8406 | |
| 17 | A | A | -2.1722 | |
| 18 | R | A | -3.1961 | |
| 19 | W | A | 0.0000 | |
| 20 | A | A | -1.8075 | |
| 21 | E | A | -2.4870 | |
| 22 | L | A | -1.4573 | |
| 23 | L | A | -0.5894 | |
| 24 | P | A | -0.5492 | |
| 25 | L | A | -0.0417 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -0.9371 | |
| 28 | G | A | -0.5414 | |
| 29 | S | A | -0.7008 | |
| 30 | N | A | -1.2361 | |
| 31 | T | A | -0.8722 | |
| 32 | K | A | -0.6624 | |
| 33 | P | A | -0.8310 | |
| 34 | N | A | -1.2499 | |
| 35 | E | A | 0.0000 | |
| 36 | A | A | -1.1815 | |
| 37 | P | A | -1.1016 | |
| 38 | H | A | -0.6316 | |
| 39 | P | A | 0.0681 | |
| 40 | G | A | 0.0000 | |
| 41 | F | A | 0.0000 | |
| 42 | T | A | 0.0000 | |
| 43 | V | A | 0.0000 | |
| 44 | R | A | -2.2899 | |
| 45 | L | A | 0.0000 | |
| 46 | D | A | -2.3827 | |
| 47 | D | A | -2.4048 | |
| 48 | C | A | 0.0000 | |
| 49 | G | A | -1.5663 | |
| 50 | L | A | 0.0000 | |
| 51 | T | A | -1.0281 | |
| 52 | E | A | -1.7824 | |
| 53 | A | A | -1.8440 | |
| 54 | R | A | -1.8826 | |
| 55 | C | A | 0.0000 | |
| 56 | K | A | -2.5204 | |
| 57 | D | A | -1.5921 | |
| 58 | I | A | 0.0000 | |
| 59 | S | A | -1.2636 | |
| 60 | S | A | -1.0857 | |
| 61 | A | A | 0.0000 | |
| 62 | L | A | 0.0000 | |
| 63 | R | A | -1.4046 | |
| 64 | V | A | 0.5127 | |
| 65 | G | A | 0.0000 | |
| 66 | S | A | 0.0000 | |
| 67 | N | A | 0.0000 | |
| 68 | T | A | -0.3839 | |
| 69 | K | A | -0.9728 | |
| 70 | P | A | -1.1687 | |
| 71 | N | A | -1.7074 | |
| 72 | E | A | 0.0000 | |
| 73 | A | A | -1.0609 | |
| 74 | P | A | -1.0474 | |
| 75 | H | A | 0.0000 | |
| 76 | P | A | 0.0000 | |
| 77 | G | A | 0.0000 | |
| 78 | F | A | 0.0000 | |
| 79 | T | A | -0.3067 | |
| 80 | E | A | -1.0093 | |
| 81 | L | A | 0.0000 | |
| 82 | N | A | -1.2766 | |
| 83 | L | A | 0.0000 | |
| 84 | R | A | -1.4508 | |
| 85 | S | A | -1.3905 | |
| 86 | N | A | -1.3225 | |
| 87 | E | A | -1.3049 | |
| 88 | L | A | 0.4616 | |
| 89 | G | A | 0.0101 | |
| 90 | D | A | 0.1541 | |
| 91 | V | A | 1.2387 | |
| 92 | G | A | 0.0000 | |
| 93 | V | A | 0.0000 | |
| 94 | H | A | -0.1455 | |
| 95 | C | A | -0.5824 | |
| 96 | V | A | 0.0000 | |
| 97 | L | A | 0.0000 | |
| 98 | Q | A | -1.2356 | |
| 99 | G | A | 0.0000 | |
| 100 | L | A | 0.0000 | |
| 101 | Q | A | -1.0960 | |
| 102 | G | A | -1.0691 | |
| 103 | S | A | 0.0000 | |
| 104 | N | A | 0.0000 | |
| 105 | T | A | -0.8919 | |
| 106 | K | A | -1.0243 | |
| 107 | P | A | -1.1571 | |
| 108 | N | A | -1.6500 | |
| 109 | E | A | 0.0000 | |
| 110 | A | A | -1.4966 | |
| 111 | P | A | 0.0000 | |
| 112 | H | A | 0.0000 | |
| 113 | P | A | 0.0000 | |
| 114 | G | A | -0.4256 | |
| 115 | F | A | 0.0000 | |
| 116 | T | A | -0.4970 | |
| 117 | K | A | -0.9711 | |
| 118 | L | A | 0.0000 | |
| 119 | S | A | 0.0000 | |
| 120 | L | A | 0.0000 | |
| 121 | Q | A | 0.0000 | |
| 122 | N | A | -1.1093 | |
| 123 | C | A | 0.0000 | |
| 124 | C | A | 0.0000 | |
| 125 | L | A | 0.0000 | |
| 126 | T | A | -0.5846 | |
| 127 | G | A | -0.2431 | |
| 128 | A | A | -0.0502 | |
| 129 | G | A | 0.0000 | |
| 130 | C | A | 0.0000 | |
| 131 | G | A | -0.4678 | |
| 132 | V | A | -0.3492 | |
| 133 | L | A | 0.0000 | |
| 134 | S | A | 0.0000 | |
| 135 | S | A | -0.8867 | |
| 136 | T | A | 0.0000 | |
| 137 | L | A | 0.0000 | |
| 138 | R | A | -1.7027 | |
| 139 | T | A | -1.0628 | |
| 140 | G | A | 0.0000 | |
| 141 | S | A | 0.0000 | |
| 142 | N | A | 0.0000 | |
| 143 | T | A | 0.0000 | |
| 144 | K | A | -1.2522 | |
| 145 | P | A | -1.4977 | |
| 146 | N | A | 0.0000 | |
| 147 | E | A | -2.0608 | |
| 148 | A | A | -1.0324 | |
| 149 | P | A | -0.8456 | |
| 150 | H | A | -0.6313 | |
| 151 | P | A | -0.2518 | |
| 152 | G | A | 0.0000 | |
| 153 | F | A | 0.0000 | |
| 154 | T | A | 0.0000 | |
| 155 | E | A | 0.0000 | |
| 156 | L | A | 0.0000 | |
| 157 | H | A | -0.7257 | |
| 158 | L | A | 0.0000 | |
| 159 | S | A | 0.0000 | |
| 160 | D | A | -1.0342 | |
| 161 | N | A | -1.5506 | |
| 162 | L | A | -0.6087 | |
| 163 | L | A | 0.0000 | |
| 164 | G | A | -0.8053 | |
| 165 | D | A | -1.0738 | |
| 166 | A | A | -0.7187 | |
| 167 | G | A | 0.0000 | |
| 168 | L | A | 0.0000 | |
| 169 | Q | A | -1.5558 | |
| 170 | L | A | -0.3940 | |
| 171 | L | A | 0.0000 | |
| 172 | C | A | 0.0000 | |
| 173 | E | A | -1.1105 | |
| 174 | G | A | 0.0000 | |
| 175 | L | A | 0.0000 | |
| 176 | L | A | 0.0876 | |
| 177 | G | A | -0.5487 | |
| 178 | S | A | -0.4710 | |
| 179 | N | A | -0.6964 | |
| 180 | T | A | -0.6073 | |
| 181 | K | A | 0.0000 | |
| 182 | P | A | -1.5605 | |
| 183 | N | A | -1.8348 | |
| 184 | E | A | -1.3727 | |
| 185 | A | A | -0.8328 | |
| 186 | P | A | -0.5115 | |
| 187 | H | A | 0.0000 | |
| 188 | P | A | 0.0000 | |
| 189 | G | A | -0.3312 | |
| 190 | F | A | 0.0000 | |
| 191 | T | A | -0.7798 | |
| 192 | K | A | -1.2094 | |
| 193 | L | A | 0.0000 | |
| 194 | Q | A | -0.6080 | |
| 195 | L | A | 0.0000 | |
| 196 | E | A | -0.4781 | |
| 197 | Y | A | 0.0225 | |
| 198 | C | A | 0.0000 | |
| 199 | S | A | -1.1038 | |
| 200 | L | A | 0.0000 | |
| 201 | S | A | -1.5071 | |
| 202 | A | A | -1.3865 | |
| 203 | A | A | -0.9208 | |
| 204 | S | A | 0.0000 | |
| 205 | C | A | 0.0000 | |
| 206 | E | A | -2.2770 | |
| 207 | P | A | -1.6056 | |
| 208 | L | A | 0.0000 | |
| 209 | A | A | 0.0000 | |
| 210 | S | A | -1.3643 | |
| 211 | V | A | 0.0000 | |
| 212 | L | A | 0.0000 | |
| 213 | R | A | -2.3959 | |
| 214 | A | A | -1.1173 | |
| 215 | G | A | 0.0000 | |
| 216 | S | A | 0.0000 | |
| 217 | N | A | -1.6103 | |
| 218 | T | A | -1.8263 | |
| 219 | K | A | -2.7174 | |
| 220 | P | A | -2.2786 | |
| 221 | N | A | -2.5120 | |
| 222 | E | A | 0.0000 | |
| 223 | A | A | -1.1025 | |
| 224 | P | A | -0.3829 | |
| 225 | H | A | 0.0000 | |
| 226 | P | A | -0.5146 | |
| 227 | G | A | -0.5578 | |
| 228 | F | A | 0.0000 | |
| 229 | T | A | 0.0000 | |
| 230 | E | A | -0.9650 | |
| 231 | L | A | 0.0000 | |
| 232 | T | A | -0.6430 | |
| 233 | V | A | 0.0000 | |
| 234 | S | A | 0.0000 | |
| 235 | N | A | 0.0000 | |
| 236 | N | A | -2.1114 | |
| 237 | D | A | -2.8587 | |
| 238 | I | A | 0.0000 | |
| 239 | N | A | -2.4457 | |
| 240 | E | A | -2.6772 | |
| 241 | A | A | -1.6342 | |
| 242 | G | A | 0.0000 | |
| 243 | V | A | 0.0000 | |
| 244 | R | A | -2.6513 | |
| 245 | V | A | -1.6804 | |
| 246 | L | A | 0.0000 | |
| 247 | C | A | 0.0000 | |
| 248 | Q | A | -2.2393 | |
| 249 | G | A | 0.0000 | |
| 250 | L | A | 0.0000 | |
| 251 | K | A | -1.5017 | |
| 252 | D | A | -1.7145 | |
| 253 | G | A | -1.3669 | |
| 254 | S | A | 0.0000 | |
| 255 | N | A | 0.0000 | |
| 256 | T | A | -1.2661 | |
| 257 | K | A | 0.0000 | |
| 258 | P | A | -1.6749 | |
| 259 | N | A | -2.3017 | |
| 260 | E | A | 0.0000 | |
| 261 | A | A | -0.9968 | |
| 262 | P | A | 0.0000 | |
| 263 | H | A | -0.8701 | |
| 264 | P | A | 0.0000 | |
| 265 | G | A | 0.0000 | |
| 266 | F | A | 0.1017 | |
| 267 | T | A | 0.0000 | |
| 268 | A | A | 0.0000 | |
| 269 | L | A | 0.0000 | |
| 270 | K | A | -0.4882 | |
| 271 | L | A | 0.0000 | |
| 272 | E | A | -1.3637 | |
| 273 | S | A | -1.4377 | |
| 274 | C | A | 0.0000 | |
| 275 | G | A | -2.2608 | |
| 276 | V | A | 0.0000 | |
| 277 | T | A | 0.0000 | |
| 278 | S | A | -1.4724 | |
| 279 | D | A | -2.5999 | |
| 280 | N | A | 0.0000 | |
| 281 | C | A | 0.0000 | |
| 282 | R | A | -2.7409 | |
| 283 | D | A | -2.1434 | |
| 284 | L | A | 0.0000 | |
| 285 | C | A | -0.9451 | |
| 286 | G | A | -1.0750 | |
| 287 | I | A | 0.0000 | |
| 288 | V | A | 0.0000 | |
| 289 | A | A | -0.7574 | |
| 290 | S | A | -0.8276 | |
| 291 | G | A | 0.0000 | |
| 292 | S | A | -0.7616 | |
| 293 | N | A | 0.0000 | |
| 294 | T | A | -1.4489 | |
| 295 | K | A | -1.9627 | |
| 296 | P | A | -1.7502 | |
| 297 | N | A | -2.1506 | |
| 298 | E | A | -2.4171 | |
| 299 | A | A | -1.5043 | |
| 300 | P | A | -1.0592 | |
| 301 | H | A | 0.0000 | |
| 302 | P | A | 0.0000 | |
| 303 | G | A | -0.2554 | |
| 304 | F | A | 0.0000 | |
| 305 | T | A | -0.2551 | |
| 306 | E | A | -0.6051 | |
| 307 | L | A | 0.0807 | |
| 308 | A | A | 0.0000 | |
| 309 | L | A | 0.0000 | |
| 310 | G | A | 0.0000 | |
| 311 | S | A | 0.0000 | |
| 312 | N | A | -2.3326 | |
| 313 | K | A | -2.2838 | |
| 314 | L | A | -1.0600 | |
| 315 | G | A | 0.0000 | |
| 316 | D | A | -0.0960 | |
| 317 | V | A | 0.8935 | |
| 318 | G | A | 0.0000 | |
| 319 | M | A | 0.0000 | |
| 320 | A | A | -0.1008 | |
| 321 | E | A | -0.7877 | |
| 322 | L | A | -0.0974 | |
| 323 | C | A | 0.0000 | |
| 324 | P | A | -0.6488 | |
| 325 | G | A | 0.0000 | |
| 326 | L | A | -0.5726 | |
| 327 | L | A | -1.0376 | |
| 328 | D | A | -2.1651 | |
| 329 | A | A | 0.0000 | |
| 330 | T | A | 0.0000 | |
| 331 | Q | A | -2.3227 | |
| 332 | K | A | -2.7962 | |
| 333 | P | A | 0.0000 | |
| 334 | N | A | 0.0000 | |
| 335 | T | A | 0.0000 | |
| 336 | A | A | 0.0000 | |
| 337 | K | A | -2.9114 | |
| 338 | H | A | -2.2723 | |
| 339 | P | A | -1.4099 | |
| 340 | A | A | -1.2582 | |
| 341 | L | A | -1.1899 | |
| 342 | E | A | -2.2133 | |
| 343 | A | A | -1.0029 | |
| 344 | T | A | 0.0000 | |
| 345 | Q | A | 0.0000 | |
| 346 | P | A | 0.0000 | |
| 347 | G | A | -0.6720 | |
| 348 | T | A | -0.5486 | |
| 349 | L | A | -0.0119 | |
| 350 | W | A | 0.3523 | |
| 351 | I | A | 0.3583 | |
| 352 | W | A | -0.6650 | |
| 353 | E | A | -2.3352 | |
| 354 | C | A | 0.0000 | |
| 355 | G | A | -1.3134 | |
| 356 | I | A | 0.0000 | |
| 357 | T | A | -1.3252 | |
| 358 | A | A | -1.4756 | |
| 359 | K | A | -1.7312 | |
| 360 | G | A | 0.0000 | |
| 361 | C | A | 0.0000 | |
| 362 | G | A | -1.0945 | |
| 363 | D | A | 0.0000 | |
| 364 | L | A | -0.6515 | |
| 365 | C | A | 0.0000 | |
| 366 | R | A | -1.9007 | |
| 367 | V | A | 0.0000 | |
| 368 | L | A | 0.0000 | |
| 369 | R | A | -2.4871 | |
| 370 | A | A | -1.5040 | |
| 371 | D | A | 0.0000 | |
| 372 | A | A | 0.0000 | |
| 373 | T | A | -1.1668 | |
| 374 | Q | A | 0.0000 | |
| 375 | K | A | -1.9801 | |
| 376 | P | A | 0.0000 | |
| 377 | N | A | -2.4109 | |
| 378 | T | A | -1.9931 | |
| 379 | A | A | 0.0000 | |
| 380 | K | A | -2.7961 | |
| 381 | H | A | -1.9270 | |
| 382 | P | A | -1.4522 | |
| 383 | A | A | 0.0000 | |
| 384 | L | A | -0.9262 | |
| 385 | E | A | 0.0000 | |
| 386 | A | A | 0.0000 | |
| 387 | T | A | -0.5913 | |
| 388 | Q | A | 0.0000 | |
| 389 | P | A | 0.0000 | |
| 390 | G | A | -0.6806 | |
| 391 | E | A | -1.2380 | |
| 392 | L | A | 0.0000 | |
| 393 | S | A | 0.0765 | |
| 394 | L | A | 0.0000 | |
| 395 | A | A | 0.0000 | |
| 396 | G | A | -1.4801 | |
| 397 | N | A | -2.0093 | |
| 398 | E | A | 0.0000 | |
| 399 | L | A | 0.0000 | |
| 400 | G | A | -1.1562 | |
| 401 | D | A | -1.4748 | |
| 402 | E | A | -2.3067 | |
| 403 | G | A | 0.0000 | |
| 404 | A | A | 0.0000 | |
| 405 | R | A | -1.5239 | |
| 406 | L | A | -1.1378 | |
| 407 | L | A | -0.8411 | |
| 408 | C | A | 0.0000 | |
| 409 | E | A | -1.3975 | |
| 410 | T | A | 0.0000 | |
| 411 | L | A | 0.0000 | |
| 412 | L | A | -1.1011 | |
| 413 | D | A | -2.3233 | |
| 414 | A | A | 0.0000 | |
| 415 | T | A | 0.0000 | |
| 416 | Q | A | -2.4824 | |
| 417 | K | A | -2.7869 | |
| 418 | P | A | -1.7022 | |
| 419 | N | A | -1.7173 | |
| 420 | T | A | -1.5086 | |
| 421 | A | A | 0.0000 | |
| 422 | K | A | -2.2055 | |
| 423 | H | A | -1.9119 | |
| 424 | P | A | -1.0171 | |
| 425 | A | A | -0.8064 | |
| 426 | L | A | 0.0000 | |
| 427 | E | A | -1.1176 | |
| 428 | A | A | 0.0000 | |
| 429 | T | A | 0.0000 | |
| 430 | Q | A | 0.0000 | |
| 431 | P | A | 0.0000 | |
| 432 | G | A | -0.6435 | |
| 433 | S | A | -0.6921 | |
| 434 | L | A | -0.2401 | |
| 435 | W | A | -0.0073 | |
| 436 | V | A | 0.0000 | |
| 437 | K | A | -0.9616 | |
| 438 | S | A | -1.4109 | |
| 439 | C | A | 0.0000 | |
| 440 | S | A | -1.3063 | |
| 441 | F | A | 0.0000 | |
| 442 | T | A | -1.3109 | |
| 443 | A | A | -1.2718 | |
| 444 | A | A | -0.5661 | |
| 445 | C | A | 0.0000 | |
| 446 | C | A | 0.0000 | |
| 447 | S | A | -0.8576 | |
| 448 | H | A | -0.7184 | |
| 449 | F | A | 0.0000 | |
| 450 | S | A | -1.2064 | |
| 451 | S | A | -1.0047 | |
| 452 | V | A | 0.0000 | |
| 453 | L | A | 0.0000 | |
| 454 | A | A | -1.2306 | |
| 455 | Q | A | -1.6451 | |
| 456 | D | A | 0.0000 | |
| 457 | A | A | 0.0000 | |
| 458 | T | A | -1.3734 | |
| 459 | Q | A | -1.9730 | |
| 460 | K | A | -2.5015 | |
| 461 | P | A | -1.9958 | |
| 462 | N | A | -2.2305 | |
| 463 | T | A | -1.5761 | |
| 464 | A | A | -1.4290 | |
| 465 | K | A | -1.9562 | |
| 466 | H | A | -1.6779 | |
| 467 | P | A | -1.1172 | |
| 468 | A | A | -1.3038 | |
| 469 | L | A | -0.6276 | |
| 470 | E | A | -0.8769 | |
| 471 | A | A | 0.0000 | |
| 472 | T | A | -0.4701 | |
| 473 | Q | A | 0.0000 | |
| 474 | P | A | 0.0000 | |
| 475 | G | A | -0.5820 | |
| 476 | E | A | -0.8468 | |
| 477 | L | A | 0.0000 | |
| 478 | Q | A | -0.2206 | |
| 479 | I | A | 0.0000 | |
| 480 | S | A | 0.0000 | |
| 481 | N | A | -2.5586 | |
| 482 | N | A | -2.4158 | |
| 483 | R | A | -2.8551 | |
| 484 | L | A | 0.0000 | |
| 485 | E | A | -3.1012 | |
| 486 | D | A | -2.2203 | |
| 487 | A | A | -1.4811 | |
| 488 | G | A | 0.0000 | |
| 489 | V | A | 0.0000 | |
| 490 | R | A | -2.8466 | |
| 491 | E | A | -2.1029 | |
| 492 | L | A | 0.0000 | |
| 493 | C | A | 0.0000 | |
| 494 | Q | A | -2.2781 | |
| 495 | G | A | -1.7755 | |
| 496 | L | A | 0.0000 | |
| 497 | G | A | -1.3215 | |
| 498 | D | A | -2.0897 | |
| 499 | A | A | 0.0000 | |
| 500 | T | A | 0.0000 | |
| 501 | Q | A | -1.0300 | |
| 502 | K | A | 0.0000 | |
| 503 | P | A | 0.0000 | |
| 504 | N | A | -2.0399 | |
| 505 | T | A | 0.0000 | |
| 506 | A | A | 0.0000 | |
| 507 | K | A | -2.7419 | |
| 508 | H | A | 0.0000 | |
| 509 | P | A | -1.5225 | |
| 510 | A | A | -0.7560 | |
| 511 | L | A | 0.0000 | |
| 512 | E | A | -1.2773 | |
| 513 | A | A | 0.0000 | |
| 514 | T | A | -0.4166 | |
| 515 | Q | A | 0.0000 | |
| 516 | P | A | 0.0000 | |
| 517 | G | A | -0.5802 | |
| 518 | V | A | -0.3643 | |
| 519 | L | A | 0.0000 | |
| 520 | W | A | -0.0399 | |
| 521 | L | A | 0.0000 | |
| 522 | A | A | 0.0000 | |
| 523 | D | A | -2.8414 | |
| 524 | C | A | 0.0000 | |
| 525 | D | A | 0.0000 | |
| 526 | V | A | 0.0000 | |
| 527 | S | A | -1.4311 | |
| 528 | D | A | -1.5902 | |
| 529 | S | A | -1.2461 | |
| 530 | S | A | 0.0000 | |
| 531 | C | A | 0.0000 | |
| 532 | S | A | -0.8864 | |
| 533 | S | A | -1.0606 | |
| 534 | L | A | 0.0000 | |
| 535 | A | A | 0.0000 | |
| 536 | A | A | -0.0461 | |
| 537 | T | A | -0.5127 | |
| 538 | L | A | 0.0000 | |
| 539 | L | A | 0.0450 | |
| 540 | A | A | -0.1360 | |
| 541 | D | A | 0.0000 | |
| 542 | A | A | 0.0000 | |
| 543 | T | A | -0.4918 | |
| 544 | Q | A | 0.0000 | |
| 545 | K | A | -1.3683 | |
| 546 | P | A | 0.0000 | |
| 547 | N | A | -0.9191 | |
| 548 | T | A | -0.3981 | |
| 549 | A | A | -1.0480 | |
| 550 | K | A | -2.2376 | |
| 551 | H | A | -1.8191 | |
| 552 | P | A | -1.2846 | |
| 553 | A | A | -0.6375 | |
| 554 | L | A | 0.0000 | |
| 555 | E | A | -1.0306 | |
| 556 | A | A | 0.0000 | |
| 557 | T | A | -0.4555 | |
| 558 | Q | A | 0.0000 | |
| 559 | P | A | 0.0000 | |
| 560 | G | A | -0.6530 | |
| 561 | E | A | -0.7138 | |
| 562 | L | A | 0.0000 | |
| 563 | D | A | 0.0000 | |
| 564 | L | A | 0.0000 | |
| 565 | S | A | 0.0000 | |
| 566 | N | A | -1.9244 | |
| 567 | N | A | -1.5728 | |
| 568 | C | A | -0.5600 | |
| 569 | L | A | 0.0000 | |
| 570 | G | A | 0.0000 | |
| 571 | D | A | -0.6266 | |
| 572 | A | A | -0.4483 | |
| 573 | G | A | 0.0000 | |
| 574 | I | A | 0.0000 | |
| 575 | L | A | -0.6124 | |
| 576 | Q | A | -0.9973 | |
| 577 | L | A | 0.0000 | |
| 578 | V | A | 0.0000 | |
| 579 | E | A | -1.3772 | |
| 580 | S | A | 0.0000 | |
| 581 | V | A | 0.0000 | |
| 582 | R | A | -2.2698 | |
| 583 | D | A | -2.5025 | |
| 584 | A | A | 0.0000 | |
| 585 | T | A | 0.0000 | |
| 586 | Q | A | -3.0549 | |
| 587 | K | A | -2.8819 | |
| 588 | P | A | -2.1473 | |
| 589 | N | A | 0.0000 | |
| 590 | T | A | -1.3022 | |
| 591 | A | A | -1.4682 | |
| 592 | K | A | -2.0370 | |
| 593 | H | A | -1.4807 | |
| 594 | P | A | -0.7104 | |
| 595 | A | A | 0.0000 | |
| 596 | L | A | 1.0220 | |
| 597 | E | A | -0.1115 | |
| 598 | A | A | 0.0000 | |
| 599 | T | A | -0.3486 | |
| 600 | Q | A | 0.0000 | |
| 601 | P | A | 0.0000 | |
| 602 | G | A | -0.5929 | |
| 603 | Q | A | -0.6293 | |
| 604 | L | A | 0.0000 | |
| 605 | V | A | 0.0000 | |
| 606 | L | A | 0.0000 | |
| 607 | Y | A | 0.0647 | |
| 608 | D | A | -1.4315 | |
| 609 | I | A | 0.0882 | |
| 610 | Y | A | 0.6985 | |
| 611 | W | A | -0.5522 | |
| 612 | S | A | -1.9641 | |
| 613 | E | A | -3.4833 | |
| 614 | E | A | -3.8055 | |
| 615 | M | A | 0.0000 | |
| 616 | E | A | -3.4280 | |
| 617 | D | A | -3.4541 | |
| 618 | R | A | -2.8216 | |
| 619 | L | A | -2.3708 | |
| 620 | Q | A | -2.7881 | |
| 621 | A | A | -2.3208 | |
| 622 | L | A | 0.0000 | |
| 623 | E | A | -3.3593 | |
| 624 | K | A | -3.3438 | |
| 625 | D | A | -2.9605 | |
| 626 | D | A | -2.8725 | |
| 627 | A | A | -1.9658 | |
| 628 | T | A | -1.7969 | |
| 629 | Q | A | -2.1677 | |
| 630 | K | A | -1.7578 | |
| 631 | P | A | -1.2664 | |
| 632 | N | A | -1.1523 | |
| 633 | T | A | -0.7071 | |
| 634 | A | A | -0.0696 | |
| 635 | K | A | 0.0000 | |
| 636 | H | A | -0.5277 | |
| 637 | P | A | -0.1456 | |
| 638 | A | A | 0.3869 | |
| 639 | L | A | 0.8529 | |
| 640 | E | A | -0.7004 | |
| 641 | A | A | -0.5821 | |
| 642 | T | A | -0.6496 | |
| 643 | Q | A | 0.0000 | |
| 644 | P | A | -1.0074 | |
| 645 | G | A | 0.0000 | |
| 646 | R | A | -1.3254 | |
| 647 | V | A | 0.0000 | |
| 648 | I | A | 0.6118 | |
| 649 | S | A | 0.3637 |
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, -0.7587 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_1 | -0.7587 | View | CSV | PDB |
| model_0 | -0.7731 | View | CSV | PDB |
| model_3 | -0.7875 | View | CSV | PDB |
| model_9 | -0.8044 | View | CSV | PDB |
| model_4 | -0.8096 | View | CSV | PDB |
| model_2 | -0.8163 | View | CSV | PDB |
| CABS_average | -0.8209 | View | CSV | PDB |
| model_7 | -0.824 | View | CSV | PDB |
| model_8 | -0.8266 | View | CSV | PDB |
| model_6 | -0.8357 | View | CSV | PDB |
| model_10 | -0.8495 | View | CSV | PDB |
| model_5 | -0.8543 | View | CSV | PDB |
| model_11 | -0.9116 | View | CSV | PDB |
| input | -1.011 | View | CSV | PDB |