| Chain sequence(s) |
A: MSHQPLSCLTEKEDSPSESTGNGPPHLAHPNLDTFTPEELLQQMKELLTENHQLKEAMKLNNQAMKGRFEELSAWTEKQKEERQFFEIQSKEAKERLMALSHENEKLKEELGKLKGKSERSSEDPTDDSRLPRAEAEQEKDQLRTQVVRLQAEKADLLGIVSELQLKLNSSGSSEDSFVEIRMAEGEAEGSVKEIKHSPGPTRTVSTGTALSKYRSRSADGAKNYFEHEELTVSQLLLCLREGNQKVERLEVALKEAKERVSDFEKKTSNRSEIETQTEGSTEKENDEEKGPETVGSEVEALNLQVTSLFKELQEAHTKLSEAELMKKRLQEKCQALERKNSAIPSELNEKQELVYTNKKLELQVESMLSEIKMEQAKTEDEKSKLTVLQMTHNKLLQEHNNALKTIEELTRKESEKVDRAVLKELSEKLELAEKALASKQLQMDEMKQTIAKQEEDLETMTILRAQMEVYCSDFHAERAAREKIHEEKEQLALQLAVLLKENDAFEDGGRQSLMEMQSRHGARTSDSDQQAYLVQRGAEDRDWRQQRNIPIHSCPKCGEVLPDIDTLQIHVMDCII
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] (00:00:00)
[WARNING] runJob: Working directory already exists (possibly overwriting previous results -ow
to prevent this behavior) (00:00:00)
[INFO] runJob: Starting aggrescan3d job on: input.pdb with A chain(s) selected (00:00:00)
[INFO] runJob: Creating pdb object from: input.pdb (00:00:00)
[INFO] FoldX: Starting FoldX energy minimization (00:00:01)
[INFO] CABS: Running CABS flex simulation (00:14:20)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:00:40)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:00:46)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:00:52)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:00:59)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:01:05)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:01:11)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:01:17)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:01:23)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:01:30)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:01:36)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:01:42)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:01:48)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:01:55)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:02:10)
[INFO] Main: Simulation completed successfully. (02:02:17)
|
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 | 0.5950 | |
| 2 | S | A | -0.5702 | |
| 3 | H | A | -1.3761 | |
| 4 | Q | A | -1.2331 | |
| 5 | P | A | -0.3921 | |
| 6 | L | A | 1.2145 | |
| 7 | S | A | 1.0897 | |
| 8 | C | A | 1.4978 | |
| 9 | L | A | 1.3920 | |
| 10 | T | A | -0.6546 | |
| 11 | E | A | -2.9944 | |
| 12 | K | A | -3.9049 | |
| 13 | E | A | -3.9790 | |
| 14 | D | A | -3.6292 | |
| 15 | S | A | -2.2808 | |
| 16 | P | A | -1.8222 | |
| 17 | S | A | -1.5612 | |
| 18 | E | A | -1.8935 | |
| 19 | S | A | -1.1969 | |
| 20 | T | A | -0.8289 | |
| 21 | G | A | -1.2886 | |
| 22 | N | A | -1.7328 | |
| 23 | G | A | -1.4433 | |
| 24 | P | A | -1.0566 | |
| 25 | P | A | -1.2425 | |
| 26 | H | A | -1.2338 | |
| 27 | L | A | -0.6056 | |
| 28 | A | A | -0.6692 | |
| 29 | H | A | -0.9355 | |
| 30 | P | A | -0.8268 | |
| 31 | N | A | -0.9559 | |
| 32 | L | A | 0.3720 | |
| 33 | D | A | -0.7753 | |
| 34 | T | A | 0.1185 | |
| 35 | F | A | 1.3666 | |
| 36 | T | A | 0.0777 | |
| 37 | P | A | -0.5627 | |
| 38 | E | A | -1.6397 | |
| 39 | E | A | -1.2849 | |
| 40 | L | A | -0.0296 | |
| 41 | L | A | 0.3349 | |
| 42 | Q | A | -1.3864 | |
| 43 | Q | A | -0.2583 | |
| 44 | M | A | 0.5898 | |
| 45 | K | A | -0.9683 | |
| 46 | E | A | -0.8232 | |
| 47 | L | A | 0.2157 | |
| 48 | L | A | 0.3621 | |
| 49 | T | A | -0.7431 | |
| 50 | E | A | -1.3344 | |
| 51 | N | A | -1.9166 | |
| 52 | H | A | -2.1960 | |
| 53 | Q | A | -2.1804 | |
| 54 | L | A | -1.5551 | |
| 55 | K | A | -2.8616 | |
| 56 | E | A | -2.9800 | |
| 57 | A | A | -1.5506 | |
| 58 | M | A | -1.1551 | |
| 59 | K | A | -2.1440 | |
| 60 | L | A | -0.7318 | |
| 61 | N | A | 0.0000 | |
| 62 | N | A | -2.2738 | |
| 63 | Q | A | -2.1000 | |
| 64 | A | A | -1.7448 | |
| 65 | M | A | -2.3347 | |
| 66 | K | A | -2.5080 | |
| 67 | G | A | -2.6825 | |
| 68 | R | A | -3.3377 | |
| 69 | F | A | -1.7680 | |
| 70 | E | A | -2.7427 | |
| 71 | E | A | -2.8821 | |
| 72 | L | A | -1.6752 | |
| 73 | S | A | -1.7164 | |
| 74 | A | A | -2.0742 | |
| 75 | W | A | -1.8261 | |
| 76 | T | A | -2.8368 | |
| 77 | E | A | -4.4111 | |
| 78 | K | A | -4.6049 | |
| 79 | Q | A | -4.7301 | |
| 80 | K | A | -4.8394 | |
| 81 | E | A | -4.1435 | |
| 82 | E | A | -4.1101 | |
| 83 | R | A | -3.6625 | |
| 84 | Q | A | -1.8644 | |
| 85 | F | A | -0.2670 | |
| 86 | F | A | 0.0488 | |
| 87 | E | A | -0.7131 | |
| 88 | I | A | 0.7089 | |
| 89 | Q | A | -0.4382 | |
| 90 | S | A | -1.2097 | |
| 91 | K | A | -2.7740 | |
| 92 | E | A | -2.7944 | |
| 93 | A | A | -2.3490 | |
| 94 | K | A | -3.3838 | |
| 95 | E | A | -3.2557 | |
| 96 | R | A | -2.4145 | |
| 97 | L | A | -0.2014 | |
| 98 | M | A | 0.0699 | |
| 99 | A | A | -0.5974 | |
| 100 | L | A | -0.0711 | |
| 101 | S | A | -0.9062 | |
| 102 | H | A | -2.0758 | |
| 103 | E | A | -2.2521 | |
| 104 | N | A | -3.0709 | |
| 105 | E | A | -4.2193 | |
| 106 | K | A | -3.6549 | |
| 107 | L | A | -2.6506 | |
| 108 | K | A | -3.8873 | |
| 109 | E | A | -3.9209 | |
| 110 | E | A | -2.5870 | |
| 111 | L | A | -0.5595 | |
| 112 | G | A | -2.0846 | |
| 113 | K | A | -3.1041 | |
| 114 | L | A | -1.4129 | |
| 115 | K | A | -3.2003 | |
| 116 | G | A | -3.2266 | |
| 117 | K | A | -3.9732 | |
| 118 | S | A | -3.2435 | |
| 119 | E | A | -4.1973 | |
| 120 | R | A | -4.3987 | |
| 121 | S | A | -3.3991 | |
| 122 | S | A | -2.9539 | |
| 123 | E | A | -3.9060 | |
| 124 | D | A | -3.8680 | |
| 125 | P | A | -2.4363 | |
| 126 | T | A | -2.2837 | |
| 127 | D | A | -3.7040 | |
| 128 | D | A | -4.2110 | |
| 129 | S | A | -3.6973 | |
| 130 | R | A | -3.2163 | |
| 131 | L | A | -1.2032 | |
| 132 | P | A | -2.1057 | |
| 133 | R | A | -4.0659 | |
| 134 | A | A | -3.3748 | |
| 135 | E | A | -4.3077 | |
| 136 | A | A | -4.2641 | |
| 137 | E | A | -5.0228 | |
| 138 | Q | A | -5.3632 | |
| 139 | E | A | -5.3533 | |
| 140 | K | A | -5.1887 | |
| 141 | D | A | -5.0603 | |
| 142 | Q | A | -3.5988 | |
| 143 | L | A | -1.8384 | |
| 144 | R | A | -2.3350 | |
| 145 | T | A | -1.2394 | |
| 146 | Q | A | -0.6367 | |
| 147 | V | A | 0.8907 | |
| 148 | V | A | 0.8404 | |
| 149 | R | A | -1.1365 | |
| 150 | L | A | -0.3485 | |
| 151 | Q | A | -1.1308 | |
| 152 | A | A | -1.3264 | |
| 153 | E | A | -2.0878 | |
| 154 | K | A | -1.2692 | |
| 155 | A | A | -0.6756 | |
| 156 | D | A | -0.7813 | |
| 157 | L | A | 1.3660 | |
| 158 | L | A | 1.8385 | |
| 159 | G | A | 1.5142 | |
| 160 | I | A | 2.7361 | |
| 161 | V | A | 2.9930 | |
| 162 | S | A | 1.3935 | |
| 163 | E | A | 0.8722 | |
| 164 | L | A | 1.4372 | |
| 165 | Q | A | 0.9699 | |
| 166 | L | A | -0.0409 | |
| 167 | K | A | -0.6121 | |
| 168 | L | A | 0.5365 | |
| 169 | N | A | 0.0000 | |
| 170 | S | A | -1.7804 | |
| 171 | S | A | -0.5401 | |
| 172 | G | A | -1.3902 | |
| 173 | S | A | -2.2108 | |
| 174 | S | A | -2.5155 | |
| 175 | E | A | -3.1047 | |
| 176 | D | A | -2.1165 | |
| 177 | S | A | -0.0709 | |
| 178 | F | A | 1.9929 | |
| 179 | V | A | 1.8775 | |
| 180 | E | A | 0.1646 | |
| 181 | I | A | 1.3695 | |
| 182 | R | A | -0.8306 | |
| 183 | M | A | -0.9557 | |
| 184 | A | A | -2.1739 | |
| 185 | E | A | -3.2791 | |
| 186 | G | A | -2.6835 | |
| 187 | E | A | -3.3206 | |
| 188 | A | A | -2.2677 | |
| 189 | E | A | -2.4825 | |
| 190 | G | A | -1.6281 | |
| 191 | S | A | 0.0000 | |
| 192 | V | A | -0.4850 | |
| 193 | K | A | -2.2564 | |
| 194 | E | A | -2.0748 | |
| 195 | I | A | -0.9492 | |
| 196 | K | A | -2.7739 | |
| 197 | H | A | -1.9963 | |
| 198 | S | A | -1.4769 | |
| 199 | P | A | -0.9100 | |
| 200 | G | A | -0.7639 | |
| 201 | P | A | -0.8955 | |
| 202 | T | A | -0.6634 | |
| 203 | R | A | -0.5561 | |
| 204 | T | A | 0.2793 | |
| 205 | V | A | 1.1829 | |
| 206 | S | A | 0.1189 | |
| 207 | T | A | 0.3178 | |
| 208 | G | A | -0.2082 | |
| 209 | T | A | 0.3789 | |
| 210 | A | A | 0.7501 | |
| 211 | L | A | 1.2685 | |
| 212 | S | A | -0.0536 | |
| 213 | K | A | 0.1138 | |
| 214 | Y | A | 0.3461 | |
| 215 | R | A | -1.4018 | |
| 216 | S | A | -1.2915 | |
| 217 | R | A | -1.6326 | |
| 218 | S | A | -1.2713 | |
| 219 | A | A | -1.2313 | |
| 220 | D | A | -1.5175 | |
| 221 | G | A | -0.8154 | |
| 222 | A | A | -0.2170 | |
| 223 | K | A | -0.9790 | |
| 224 | N | A | -1.1522 | |
| 225 | Y | A | 0.7260 | |
| 226 | F | A | 0.8028 | |
| 227 | E | A | -0.4468 | |
| 228 | H | A | -0.5803 | |
| 229 | E | A | -0.4107 | |
| 230 | E | A | -0.6361 | |
| 231 | L | A | 0.9736 | |
| 232 | T | A | 1.0626 | |
| 233 | V | A | 1.8710 | |
| 234 | S | A | 1.4972 | |
| 235 | Q | A | 1.2286 | |
| 236 | L | A | 2.8297 | |
| 237 | L | A | 2.9535 | |
| 238 | L | A | 1.5526 | |
| 239 | C | A | 1.4586 | |
| 240 | L | A | 0.9166 | |
| 241 | R | A | -1.5761 | |
| 242 | E | A | -2.1136 | |
| 243 | G | A | -2.0740 | |
| 244 | N | A | -2.4281 | |
| 245 | Q | A | -3.3524 | |
| 246 | K | A | -3.3028 | |
| 247 | V | A | -1.7300 | |
| 248 | E | A | -2.9892 | |
| 249 | R | A | -2.6858 | |
| 250 | L | A | -0.6324 | |
| 251 | E | A | -2.3440 | |
| 252 | V | A | -1.4671 | |
| 253 | A | A | -1.1885 | |
| 254 | L | A | -0.9589 | |
| 255 | K | A | -3.1404 | |
| 256 | E | A | -3.6207 | |
| 257 | A | A | -2.5830 | |
| 258 | K | A | -3.3391 | |
| 259 | E | A | -4.0290 | |
| 260 | R | A | -3.0921 | |
| 261 | V | A | -0.9443 | |
| 262 | S | A | -2.4138 | |
| 263 | D | A | -2.7423 | |
| 264 | F | A | -1.0074 | |
| 265 | E | A | -3.0429 | |
| 266 | K | A | -3.7954 | |
| 267 | K | A | -3.6704 | |
| 268 | T | A | -3.0326 | |
| 269 | S | A | -3.2833 | |
| 270 | N | A | -3.6264 | |
| 271 | R | A | -3.9496 | |
| 272 | S | A | -2.3002 | |
| 273 | E | A | -2.1957 | |
| 274 | I | A | -0.1434 | |
| 275 | E | A | -1.8259 | |
| 276 | T | A | -1.5438 | |
| 277 | Q | A | -2.2196 | |
| 278 | T | A | -1.8760 | |
| 279 | E | A | -2.5087 | |
| 280 | G | A | -2.0993 | |
| 281 | S | A | -1.9612 | |
| 282 | T | A | -2.8455 | |
| 283 | E | A | -3.6364 | |
| 284 | K | A | -4.1953 | |
| 285 | E | A | -3.7496 | |
| 286 | N | A | -3.2733 | |
| 287 | D | A | -3.8675 | |
| 288 | E | A | -3.5929 | |
| 289 | E | A | -3.8200 | |
| 290 | K | A | -3.5947 | |
| 291 | G | A | -2.3842 | |
| 292 | P | A | -1.8010 | |
| 293 | E | A | -2.1084 | |
| 294 | T | A | -0.3421 | |
| 295 | V | A | 0.8311 | |
| 296 | G | A | 0.1536 | |
| 297 | S | A | -0.8842 | |
| 298 | E | A | -0.8757 | |
| 299 | V | A | 0.6159 | |
| 300 | E | A | -1.1052 | |
| 301 | A | A | -1.1825 | |
| 302 | L | A | 0.6776 | |
| 303 | N | A | -0.0742 | |
| 304 | L | A | -0.5175 | |
| 305 | Q | A | -0.1059 | |
| 306 | V | A | 1.5288 | |
| 307 | T | A | 0.9866 | |
| 308 | S | A | 0.0000 | |
| 309 | L | A | 2.1868 | |
| 310 | F | A | 2.7040 | |
| 311 | K | A | -0.4624 | |
| 312 | E | A | -0.5415 | |
| 313 | L | A | 1.4171 | |
| 314 | Q | A | -0.7148 | |
| 315 | E | A | -1.7909 | |
| 316 | A | A | -0.7846 | |
| 317 | H | A | -1.2863 | |
| 318 | T | A | -1.4598 | |
| 319 | K | A | -1.6924 | |
| 320 | L | A | 0.0144 | |
| 321 | S | A | -0.5618 | |
| 322 | E | A | -1.0637 | |
| 323 | A | A | -1.0115 | |
| 324 | E | A | -1.5392 | |
| 325 | L | A | -0.4874 | |
| 326 | M | A | -1.1818 | |
| 327 | K | A | -3.0526 | |
| 328 | K | A | -3.6070 | |
| 329 | R | A | -3.3718 | |
| 330 | L | A | -1.9966 | |
| 331 | Q | A | -3.2545 | |
| 332 | E | A | -4.0898 | |
| 333 | K | A | -3.4355 | |
| 334 | C | A | -1.9123 | |
| 335 | Q | A | -2.9779 | |
| 336 | A | A | -2.3871 | |
| 337 | L | A | -1.8312 | |
| 338 | E | A | -3.5483 | |
| 339 | R | A | -3.6002 | |
| 340 | K | A | -3.1915 | |
| 341 | N | A | -2.6095 | |
| 342 | S | A | -2.1252 | |
| 343 | A | A | -1.3214 | |
| 344 | I | A | -0.1404 | |
| 345 | P | A | -0.8351 | |
| 346 | S | A | -1.6195 | |
| 347 | E | A | -2.3757 | |
| 348 | L | A | -1.2068 | |
| 349 | N | A | -2.9978 | |
| 350 | E | A | -3.9659 | |
| 351 | K | A | -3.0767 | |
| 352 | Q | A | -2.9177 | |
| 353 | E | A | -2.8547 | |
| 354 | L | A | -0.9138 | |
| 355 | V | A | -0.7299 | |
| 356 | Y | A | -0.0528 | |
| 357 | T | A | -1.0850 | |
| 358 | N | A | -1.7444 | |
| 359 | K | A | -1.7903 | |
| 360 | K | A | -2.0960 | |
| 361 | L | A | -1.2411 | |
| 362 | E | A | -2.0612 | |
| 363 | L | A | -0.5966 | |
| 364 | Q | A | -1.0134 | |
| 365 | V | A | 0.0966 | |
| 366 | E | A | -1.0304 | |
| 367 | S | A | -0.3399 | |
| 368 | M | A | 0.7050 | |
| 369 | L | A | 1.0682 | |
| 370 | S | A | -0.4633 | |
| 371 | E | A | -1.2438 | |
| 372 | I | A | -0.1978 | |
| 373 | K | A | -1.7625 | |
| 374 | M | A | -1.4030 | |
| 375 | E | A | -3.1437 | |
| 376 | Q | A | -3.6220 | |
| 377 | A | A | -3.3206 | |
| 378 | K | A | -4.2644 | |
| 379 | T | A | -3.9594 | |
| 380 | E | A | -4.7765 | |
| 381 | D | A | -4.4518 | |
| 382 | E | A | -3.9131 | |
| 383 | K | A | -3.2829 | |
| 384 | S | A | -2.5865 | |
| 385 | K | A | -2.0048 | |
| 386 | L | A | -0.1110 | |
| 387 | T | A | -0.1494 | |
| 388 | V | A | 0.4991 | |
| 389 | L | A | 0.4453 | |
| 390 | Q | A | -0.6624 | |
| 391 | M | A | 0.1357 | |
| 392 | T | A | -0.3528 | |
| 393 | H | A | -1.3852 | |
| 394 | N | A | -1.9151 | |
| 395 | K | A | -2.4447 | |
| 396 | L | A | -0.6772 | |
| 397 | L | A | -0.9038 | |
| 398 | Q | A | -2.8237 | |
| 399 | E | A | -3.3013 | |
| 400 | H | A | -2.3983 | |
| 401 | N | A | -2.7760 | |
| 402 | N | A | -2.9763 | |
| 403 | A | A | -1.6075 | |
| 404 | L | A | -0.5999 | |
| 405 | K | A | -2.1923 | |
| 406 | T | A | -0.9341 | |
| 407 | I | A | 0.5199 | |
| 408 | E | A | -1.9002 | |
| 409 | E | A | -2.1012 | |
| 410 | L | A | -0.7984 | |
| 411 | T | A | -2.1289 | |
| 412 | R | A | -3.5961 | |
| 413 | K | A | -3.6090 | |
| 414 | E | A | -3.2970 | |
| 415 | S | A | -3.3805 | |
| 416 | E | A | -4.2738 | |
| 417 | K | A | -3.5941 | |
| 418 | V | A | -1.9842 | |
| 419 | D | A | -2.6031 | |
| 420 | R | A | -2.6576 | |
| 421 | A | A | -0.9722 | |
| 422 | V | A | 0.0310 | |
| 423 | L | A | -0.5991 | |
| 424 | K | A | -2.4928 | |
| 425 | E | A | -2.6595 | |
| 426 | L | A | -0.3797 | |
| 427 | S | A | -1.1763 | |
| 428 | E | A | -2.9541 | |
| 429 | K | A | -2.7690 | |
| 430 | L | A | -1.6187 | |
| 431 | E | A | -2.7328 | |
| 432 | L | A | -1.0577 | |
| 433 | A | A | -1.2461 | |
| 434 | E | A | -2.3059 | |
| 435 | K | A | -2.3399 | |
| 436 | A | A | -0.9715 | |
| 437 | L | A | -0.1402 | |
| 438 | A | A | -0.6294 | |
| 439 | S | A | -0.8927 | |
| 440 | K | A | -1.6086 | |
| 441 | Q | A | -1.4094 | |
| 442 | L | A | -0.4593 | |
| 443 | Q | A | -1.5615 | |
| 444 | M | A | -1.7970 | |
| 445 | D | A | -3.0612 | |
| 446 | E | A | -3.0301 | |
| 447 | M | A | -1.5870 | |
| 448 | K | A | -2.9886 | |
| 449 | Q | A | -3.1410 | |
| 450 | T | A | -2.3487 | |
| 451 | I | A | -1.3936 | |
| 452 | A | A | -2.5109 | |
| 453 | K | A | -3.6525 | |
| 454 | Q | A | -3.7070 | |
| 455 | E | A | -3.8848 | |
| 456 | E | A | -4.1298 | |
| 457 | D | A | -3.2014 | |
| 458 | L | A | -1.1552 | |
| 459 | E | A | -1.7799 | |
| 460 | T | A | -0.3968 | |
| 461 | M | A | 0.6232 | |
| 462 | T | A | 0.5778 | |
| 463 | I | A | 1.8430 | |
| 464 | L | A | 1.6454 | |
| 465 | R | A | -0.2202 | |
| 466 | A | A | 0.3365 | |
| 467 | Q | A | 0.2957 | |
| 468 | M | A | 0.6059 | |
| 469 | E | A | -0.3675 | |
| 470 | V | A | 1.0201 | |
| 471 | Y | A | 1.0086 | |
| 472 | C | A | 0.1616 | |
| 473 | S | A | -0.6214 | |
| 474 | D | A | -1.3515 | |
| 475 | F | A | -0.7955 | |
| 476 | H | A | -2.0385 | |
| 477 | A | A | -2.4603 | |
| 478 | E | A | -3.8966 | |
| 479 | R | A | -4.1566 | |
| 480 | A | A | -3.1957 | |
| 481 | A | A | -3.1041 | |
| 482 | R | A | -4.4529 | |
| 483 | E | A | -4.7155 | |
| 484 | K | A | -4.1815 | |
| 485 | I | A | -2.4004 | |
| 486 | H | A | -3.6258 | |
| 487 | E | A | -3.9778 | |
| 488 | E | A | -3.0345 | |
| 489 | K | A | -3.2743 | |
| 490 | E | A | -2.8390 | |
| 491 | Q | A | -1.4071 | |
| 492 | L | A | -0.2657 | |
| 493 | A | A | -0.7925 | |
| 494 | L | A | 0.4600 | |
| 495 | Q | A | 0.0663 | |
| 496 | L | A | -0.3550 | |
| 497 | A | A | 0.0000 | |
| 498 | V | A | 0.5301 | |
| 499 | L | A | 0.6180 | |
| 500 | L | A | -0.9392 | |
| 501 | K | A | -2.1937 | |
| 502 | E | A | -1.6662 | |
| 503 | N | A | -1.3545 | |
| 504 | D | A | -1.8934 | |
| 505 | A | A | -1.2250 | |
| 506 | F | A | 0.1499 | |
| 507 | E | A | -1.1671 | |
| 508 | D | A | -1.6346 | |
| 509 | G | A | -0.8087 | |
| 510 | G | A | -0.8563 | |
| 511 | R | A | -1.2410 | |
| 512 | Q | A | -1.7540 | |
| 513 | S | A | -1.0433 | |
| 514 | L | A | -0.4784 | |
| 515 | M | A | -0.8228 | |
| 516 | E | A | -1.8537 | |
| 517 | M | A | -0.5380 | |
| 518 | Q | A | -1.9115 | |
| 519 | S | A | -1.8999 | |
| 520 | R | A | -2.5350 | |
| 521 | H | A | -2.4938 | |
| 522 | G | A | -1.9863 | |
| 523 | A | A | -1.5409 | |
| 524 | R | A | -2.5019 | |
| 525 | T | A | -2.0401 | |
| 526 | S | A | -1.9849 | |
| 527 | D | A | -2.8967 | |
| 528 | S | A | -2.3677 | |
| 529 | D | A | -3.2010 | |
| 530 | Q | A | -2.7385 | |
| 531 | Q | A | -1.9711 | |
| 532 | A | A | -0.5732 | |
| 533 | Y | A | 0.0000 | |
| 534 | L | A | -0.1601 | |
| 535 | V | A | -0.0471 | |
| 536 | Q | A | -1.9135 | |
| 537 | R | A | -2.8995 | |
| 538 | G | A | -2.3287 | |
| 539 | A | A | -2.5286 | |
| 540 | E | A | -2.5352 | |
| 541 | D | A | 0.0000 | |
| 542 | R | A | -3.6171 | |
| 543 | D | A | -3.5783 | |
| 544 | W | A | -2.0679 | |
| 545 | R | A | -3.3950 | |
| 546 | Q | A | -3.9348 | |
| 547 | Q | A | -3.7151 | |
| 548 | R | A | -3.2886 | |
| 549 | N | A | -2.0966 | |
| 550 | I | A | 0.2396 | |
| 551 | P | A | 0.1483 | |
| 552 | I | A | 0.0910 | |
| 553 | H | A | -0.6137 | |
| 554 | S | A | 0.4803 | |
| 555 | C | A | 0.0000 | |
| 556 | P | A | -1.2656 | |
| 557 | K | A | -2.0122 | |
| 558 | C | A | -1.1282 | |
| 559 | G | A | -1.3595 | |
| 560 | E | A | -2.0659 | |
| 561 | V | A | -0.5353 | |
| 562 | L | A | -0.4332 | |
| 563 | P | A | -0.9155 | |
| 564 | D | A | -1.2812 | |
| 565 | I | A | 0.5141 | |
| 566 | D | A | -1.1962 | |
| 567 | T | A | -0.3815 | |
| 568 | L | A | 0.0000 | |
| 569 | Q | A | -0.3612 | |
| 570 | I | A | 0.9239 | |
| 571 | H | A | 0.4888 | |
| 572 | V | A | 1.1614 | |
| 573 | M | A | 1.8238 | |
| 574 | D | A | 0.2838 | |
| 575 | C | A | 1.8239 | |
| 576 | I | A | 3.1025 | |
| 577 | I | A | 2.9848 |
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, -1.5134 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 | -1.5134 | View | CSV | PDB |
| model_11 | -1.5248 | View | CSV | PDB |
| model_2 | -1.5388 | View | CSV | PDB |
| model_4 | -1.5486 | View | CSV | PDB |
| CABS_average | -1.5724 | View | CSV | PDB |
| model_7 | -1.5772 | View | CSV | PDB |
| model_3 | -1.5777 | View | CSV | PDB |
| model_9 | -1.5838 | View | CSV | PDB |
| model_10 | -1.5883 | View | CSV | PDB |
| model_0 | -1.5926 | View | CSV | PDB |
| model_8 | -1.6057 | View | CSV | PDB |
| model_5 | -1.6077 | View | CSV | PDB |
| model_1 | -1.6106 | View | CSV | PDB |
| input | -1.697 | View | CSV | PDB |