| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQTGNENSHPPYATTVRLDDCGLTEARCKDISSALRVTGNENSHPPYATTELNLRSNELGDVGVHCVLQGLQTGNENSHPPYATTKLSLQNCCLTGAGCGVLSSTLRTTGNENSHPPYATTELHLSDNLLGDAGLQLLCEGLLTGNENSHPPYATTKLQLEYCSLSAASCEPLASVLRATGNENSHPPYATTELTVSNNDINEAGVRVLCQGLKDTGNENSHPPYATTALKLESCGVTSDNCRDLCGIVASTGNENSHPPYATTLLALGSNKLGDVGMAELCPGLLSERSKPNNPAQYPAFSVTNPGTLWIWECGITAKGCGDLCRVLRASERSKPNNPAQYPAFSVTNPGELSLAGNELGDEGARLLCETLLSERSKPNNPAQYPAFSVTNPGSLWVKSCSFTAACCSHFSSVLAQSERSKPNNPAQYPAFSVTNPGELQISNNRLEDAGVRELCQGLGSERSKPNNPAQYPAFSVTNPGVLWLADCDVSDSSCSSLAATLLASERSKPNNPAQYPAFSVTNPGELDLSNNCLGDAGILQLVESVRSERSKPNNPAQYPAFSVTNPGQLVLYDIYWSEEMEDRLQALEKDSERSKPNNPAQYPAFSVTNPGRVIS
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 (00:12:36)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:28:51)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:28:55)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:28:59)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:29:04)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:29:09)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:29:13)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:29:18)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:29:23)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:29:28)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:29:32)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:29:36)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:29:41)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:29:45)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:29:57)
[INFO] Main: Simulation completed successfully. (02:30:01)
|
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 | -0.0724 | |
| 2 | L | A | 1.2651 | |
| 3 | D | A | 0.0000 | |
| 4 | I | A | 2.0167 | |
| 5 | Q | A | 0.4355 | |
| 6 | S | A | -0.3174 | |
| 7 | L | A | -0.6822 | |
| 8 | D | A | -1.5362 | |
| 9 | I | A | -1.8361 | |
| 10 | Q | A | -2.1031 | |
| 11 | C | A | -2.5575 | |
| 12 | E | A | -2.9926 | |
| 13 | E | A | -3.3896 | |
| 14 | L | A | 0.0000 | |
| 15 | S | A | -2.1880 | |
| 16 | D | A | -2.6795 | |
| 17 | A | A | -2.3395 | |
| 18 | R | A | -3.2181 | |
| 19 | W | A | 0.0000 | |
| 20 | A | A | -2.1094 | |
| 21 | E | A | -2.6959 | |
| 22 | L | A | 0.0000 | |
| 23 | L | A | -1.0361 | |
| 24 | P | A | -1.0158 | |
| 25 | L | A | -0.1176 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -1.1816 | |
| 28 | T | A | -0.4846 | |
| 29 | G | A | -0.9578 | |
| 30 | N | A | -2.3142 | |
| 31 | E | A | -2.6560 | |
| 32 | N | A | -1.7689 | |
| 33 | S | A | -1.1254 | |
| 34 | H | A | 0.0000 | |
| 35 | P | A | 0.0974 | |
| 36 | P | A | -0.1009 | |
| 37 | Y | A | 0.7007 | |
| 38 | A | A | 0.3365 | |
| 39 | T | A | 0.0000 | |
| 40 | T | A | -0.3852 | |
| 41 | V | A | 0.0000 | |
| 42 | R | A | -1.3788 | |
| 43 | L | A | 0.0000 | |
| 44 | D | A | -2.1026 | |
| 45 | D | A | -2.8454 | |
| 46 | C | A | 0.0000 | |
| 47 | G | A | -2.0513 | |
| 48 | L | A | 0.0000 | |
| 49 | T | A | -1.6515 | |
| 50 | E | A | -1.9299 | |
| 51 | A | A | -1.6442 | |
| 52 | R | A | -1.6532 | |
| 53 | C | A | 0.0000 | |
| 54 | K | A | -2.2860 | |
| 55 | D | A | -1.9201 | |
| 56 | I | A | 0.0000 | |
| 57 | S | A | -1.6151 | |
| 58 | S | A | -1.4783 | |
| 59 | A | A | 0.0000 | |
| 60 | L | A | 0.0000 | |
| 61 | R | A | -2.3651 | |
| 62 | V | A | -1.1570 | |
| 63 | T | A | 0.0000 | |
| 64 | G | A | 0.0000 | |
| 65 | N | A | 0.0000 | |
| 66 | E | A | -1.5530 | |
| 67 | N | A | -1.5617 | |
| 68 | S | A | -1.5748 | |
| 69 | H | A | 0.0000 | |
| 70 | P | A | 0.0000 | |
| 71 | P | A | -0.4129 | |
| 72 | Y | A | 0.0000 | |
| 73 | A | A | -0.0488 | |
| 74 | T | A | 0.0000 | |
| 75 | T | A | -0.1404 | |
| 76 | E | A | -0.5574 | |
| 77 | L | A | -0.2259 | |
| 78 | N | A | 0.0000 | |
| 79 | L | A | 0.0000 | |
| 80 | R | A | -1.7217 | |
| 81 | S | A | 0.0000 | |
| 82 | N | A | -2.8746 | |
| 83 | E | A | -3.1193 | |
| 84 | L | A | 0.0000 | |
| 85 | G | A | -1.1225 | |
| 86 | D | A | -0.8073 | |
| 87 | V | A | 0.5813 | |
| 88 | G | A | 0.0000 | |
| 89 | V | A | -0.5333 | |
| 90 | H | A | -0.5653 | |
| 91 | C | A | -0.9569 | |
| 92 | V | A | -0.6935 | |
| 93 | L | A | 0.0000 | |
| 94 | Q | A | -1.7077 | |
| 95 | G | A | 0.0000 | |
| 96 | L | A | -0.7875 | |
| 97 | Q | A | -1.2522 | |
| 98 | T | A | 0.0000 | |
| 99 | G | A | -2.1408 | |
| 100 | N | A | -2.2111 | |
| 101 | E | A | -2.4749 | |
| 102 | N | A | -2.8312 | |
| 103 | S | A | 0.0000 | |
| 104 | H | A | 0.0000 | |
| 105 | P | A | -0.6838 | |
| 106 | P | A | -0.1871 | |
| 107 | Y | A | 0.0000 | |
| 108 | A | A | -0.1126 | |
| 109 | T | A | -0.1340 | |
| 110 | T | A | -0.3494 | |
| 111 | K | A | -0.5277 | |
| 112 | L | A | -0.2017 | |
| 113 | S | A | 0.0000 | |
| 114 | L | A | 0.0000 | |
| 115 | Q | A | -1.2852 | |
| 116 | N | A | -2.0350 | |
| 117 | C | A | 0.0000 | |
| 118 | C | A | -0.9729 | |
| 119 | L | A | 0.0000 | |
| 120 | T | A | -0.4392 | |
| 121 | G | A | -0.4433 | |
| 122 | A | A | -0.0299 | |
| 123 | G | A | 0.0000 | |
| 124 | C | A | 0.0000 | |
| 125 | G | A | -0.0656 | |
| 126 | V | A | -0.1519 | |
| 127 | L | A | -0.0246 | |
| 128 | S | A | 0.0000 | |
| 129 | S | A | -0.7372 | |
| 130 | T | A | 0.0000 | |
| 131 | L | A | -0.9450 | |
| 132 | R | A | -2.5573 | |
| 133 | T | A | -1.4994 | |
| 134 | T | A | -1.0285 | |
| 135 | G | A | -1.5292 | |
| 136 | N | A | -2.0674 | |
| 137 | E | A | -2.7475 | |
| 138 | N | A | -2.2094 | |
| 139 | S | A | -1.3143 | |
| 140 | H | A | -1.2707 | |
| 141 | P | A | -0.5347 | |
| 142 | P | A | -0.3120 | |
| 143 | Y | A | -0.0252 | |
| 144 | A | A | 0.0000 | |
| 145 | T | A | -0.4115 | |
| 146 | T | A | -0.3697 | |
| 147 | E | A | -0.6523 | |
| 148 | L | A | 0.0000 | |
| 149 | H | A | -0.4883 | |
| 150 | L | A | 0.0000 | |
| 151 | S | A | 0.0000 | |
| 152 | D | A | -0.7550 | |
| 153 | N | A | -0.3330 | |
| 154 | L | A | 0.0000 | |
| 155 | L | A | -0.2327 | |
| 156 | G | A | -1.1132 | |
| 157 | D | A | -2.1622 | |
| 158 | A | A | -1.0859 | |
| 159 | G | A | -0.9609 | |
| 160 | L | A | 0.0000 | |
| 161 | Q | A | -1.9249 | |
| 162 | L | A | -0.6575 | |
| 163 | L | A | -0.3597 | |
| 164 | C | A | 0.0000 | |
| 165 | E | A | -2.0274 | |
| 166 | G | A | 0.0000 | |
| 167 | L | A | 0.0000 | |
| 168 | L | A | -1.4936 | |
| 169 | T | A | -2.0197 | |
| 170 | G | A | -2.0610 | |
| 171 | N | A | -2.0818 | |
| 172 | E | A | -3.1127 | |
| 173 | N | A | -2.6714 | |
| 174 | S | A | -1.6008 | |
| 175 | H | A | -1.5290 | |
| 176 | P | A | -1.1550 | |
| 177 | P | A | -0.7133 | |
| 178 | Y | A | 0.0000 | |
| 179 | A | A | -0.8121 | |
| 180 | T | A | 0.0000 | |
| 181 | T | A | -0.5036 | |
| 182 | K | A | -0.7477 | |
| 183 | L | A | 0.0000 | |
| 184 | Q | A | -0.6410 | |
| 185 | L | A | 0.0000 | |
| 186 | E | A | -0.3436 | |
| 187 | Y | A | 0.0701 | |
| 188 | C | A | 0.0000 | |
| 189 | S | A | -0.9872 | |
| 190 | L | A | 0.0000 | |
| 191 | S | A | -1.3498 | |
| 192 | A | A | -1.1763 | |
| 193 | A | A | -1.2364 | |
| 194 | S | A | 0.0000 | |
| 195 | C | A | 0.0000 | |
| 196 | E | A | -2.2227 | |
| 197 | P | A | -1.7192 | |
| 198 | L | A | -0.7145 | |
| 199 | A | A | 0.0000 | |
| 200 | S | A | -1.5484 | |
| 201 | V | A | 0.0000 | |
| 202 | L | A | 0.0000 | |
| 203 | R | A | -2.8708 | |
| 204 | A | A | -1.8326 | |
| 205 | T | A | 0.0000 | |
| 206 | G | A | -2.3587 | |
| 207 | N | A | -2.2188 | |
| 208 | E | A | -1.8559 | |
| 209 | N | A | -1.6366 | |
| 210 | S | A | -1.0670 | |
| 211 | H | A | -0.7220 | |
| 212 | P | A | -0.7587 | |
| 213 | P | A | -0.6254 | |
| 214 | Y | A | 0.0000 | |
| 215 | A | A | -0.2199 | |
| 216 | T | A | 0.0000 | |
| 217 | T | A | -0.4368 | |
| 218 | E | A | -0.8271 | |
| 219 | L | A | 0.0000 | |
| 220 | T | A | 0.0000 | |
| 221 | V | A | 0.0000 | |
| 222 | S | A | 0.0000 | |
| 223 | N | A | -1.0932 | |
| 224 | N | A | -1.3353 | |
| 225 | D | A | -2.3571 | |
| 226 | I | A | -1.7494 | |
| 227 | N | A | -2.0074 | |
| 228 | E | A | -2.2225 | |
| 229 | A | A | -1.3314 | |
| 230 | G | A | 0.0000 | |
| 231 | V | A | 0.0000 | |
| 232 | R | A | -2.0386 | |
| 233 | V | A | -1.0255 | |
| 234 | L | A | 0.0000 | |
| 235 | C | A | 0.0000 | |
| 236 | Q | A | -1.9563 | |
| 237 | G | A | 0.0000 | |
| 238 | L | A | 0.0000 | |
| 239 | K | A | -2.7189 | |
| 240 | D | A | -3.4331 | |
| 241 | T | A | 0.0000 | |
| 242 | G | A | -2.8192 | |
| 243 | N | A | -2.9951 | |
| 244 | E | A | -3.0771 | |
| 245 | N | A | 0.0000 | |
| 246 | S | A | -1.4826 | |
| 247 | H | A | -1.5328 | |
| 248 | P | A | -1.3614 | |
| 249 | P | A | 0.0000 | |
| 250 | Y | A | 0.0000 | |
| 251 | A | A | 0.0000 | |
| 252 | T | A | 0.0000 | |
| 253 | T | A | -0.3877 | |
| 254 | A | A | 0.0000 | |
| 255 | L | A | 0.0000 | |
| 256 | K | A | -0.4920 | |
| 257 | L | A | 0.0000 | |
| 258 | E | A | -1.2061 | |
| 259 | S | A | -1.5327 | |
| 260 | C | A | 0.0000 | |
| 261 | G | A | -1.6201 | |
| 262 | V | A | 0.0000 | |
| 263 | T | A | -1.1724 | |
| 264 | S | A | -1.1719 | |
| 265 | D | A | -2.4879 | |
| 266 | N | A | 0.0000 | |
| 267 | C | A | 0.0000 | |
| 268 | R | A | -2.7314 | |
| 269 | D | A | -1.9558 | |
| 270 | L | A | 0.0000 | |
| 271 | C | A | 0.0000 | |
| 272 | G | A | -1.2022 | |
| 273 | I | A | 0.0000 | |
| 274 | V | A | 0.0000 | |
| 275 | A | A | -0.5764 | |
| 276 | S | A | -1.3622 | |
| 277 | T | A | 0.0000 | |
| 278 | G | A | 0.0000 | |
| 279 | N | A | 0.0000 | |
| 280 | E | A | -2.1211 | |
| 281 | N | A | -1.7974 | |
| 282 | S | A | -1.0748 | |
| 283 | H | A | -1.3656 | |
| 284 | P | A | -0.8493 | |
| 285 | P | A | -0.7093 | |
| 286 | Y | A | 0.0000 | |
| 287 | A | A | -0.6036 | |
| 288 | T | A | 0.0000 | |
| 289 | T | A | -0.3821 | |
| 290 | L | A | 0.0000 | |
| 291 | L | A | 0.0000 | |
| 292 | A | A | 0.0000 | |
| 293 | L | A | 0.0000 | |
| 294 | G | A | 0.0000 | |
| 295 | S | A | -0.9898 | |
| 296 | N | A | 0.0000 | |
| 297 | K | A | -2.2324 | |
| 298 | L | A | 0.0000 | |
| 299 | G | A | -0.6549 | |
| 300 | D | A | -0.3869 | |
| 301 | V | A | 1.1043 | |
| 302 | G | A | 0.0000 | |
| 303 | M | A | 0.0000 | |
| 304 | A | A | -0.2093 | |
| 305 | E | A | -0.8304 | |
| 306 | L | A | 0.0000 | |
| 307 | C | A | 0.0000 | |
| 308 | P | A | -0.7949 | |
| 309 | G | A | 0.0000 | |
| 310 | L | A | 0.0000 | |
| 311 | L | A | 0.0252 | |
| 312 | S | A | 0.0000 | |
| 313 | E | A | -1.0977 | |
| 314 | R | A | -1.4615 | |
| 315 | S | A | 0.0000 | |
| 316 | K | A | -1.5155 | |
| 317 | P | A | 0.0000 | |
| 318 | N | A | -0.9666 | |
| 319 | N | A | -1.1343 | |
| 320 | P | A | -0.4862 | |
| 321 | A | A | 0.0157 | |
| 322 | Q | A | -0.1723 | |
| 323 | Y | A | 0.7320 | |
| 324 | P | A | 0.1805 | |
| 325 | A | A | 0.0787 | |
| 326 | F | A | 0.0000 | |
| 327 | S | A | -0.6940 | |
| 328 | V | A | 0.0000 | |
| 329 | T | A | 0.0000 | |
| 330 | N | A | 0.0000 | |
| 331 | P | A | 0.0000 | |
| 332 | G | A | -0.5635 | |
| 333 | T | A | -0.7713 | |
| 334 | L | A | 0.0000 | |
| 335 | W | A | -0.1847 | |
| 336 | I | A | 0.0000 | |
| 337 | W | A | -0.7723 | |
| 338 | E | A | -1.7788 | |
| 339 | C | A | 0.0000 | |
| 340 | G | A | -1.2547 | |
| 341 | I | A | 0.0000 | |
| 342 | T | A | -1.2510 | |
| 343 | A | A | -1.4369 | |
| 344 | K | A | -1.6720 | |
| 345 | G | A | 0.0000 | |
| 346 | C | A | 0.0000 | |
| 347 | G | A | -1.2637 | |
| 348 | D | A | -1.2384 | |
| 349 | L | A | 0.0000 | |
| 350 | C | A | 0.0000 | |
| 351 | R | A | -2.6157 | |
| 352 | V | A | 0.0000 | |
| 353 | L | A | 0.0000 | |
| 354 | R | A | -2.5487 | |
| 355 | A | A | -1.4057 | |
| 356 | S | A | 0.0000 | |
| 357 | E | A | -1.4801 | |
| 358 | R | A | 0.0000 | |
| 359 | S | A | -1.2595 | |
| 360 | K | A | -2.2169 | |
| 361 | P | A | -1.5592 | |
| 362 | N | A | -1.4965 | |
| 363 | N | A | -1.2292 | |
| 364 | P | A | -0.8464 | |
| 365 | A | A | -0.3801 | |
| 366 | Q | A | -0.5142 | |
| 367 | Y | A | 0.0000 | |
| 368 | P | A | 0.0148 | |
| 369 | A | A | 0.1088 | |
| 370 | F | A | 0.0000 | |
| 371 | S | A | -0.1916 | |
| 372 | V | A | 0.0000 | |
| 373 | T | A | -0.3377 | |
| 374 | N | A | 0.0000 | |
| 375 | P | A | 0.0000 | |
| 376 | G | A | -1.3503 | |
| 377 | E | A | -2.0082 | |
| 378 | L | A | 0.0000 | |
| 379 | S | A | 0.0000 | |
| 380 | L | A | 0.0000 | |
| 381 | A | A | 0.0000 | |
| 382 | G | A | 0.0000 | |
| 383 | N | A | -1.7107 | |
| 384 | E | A | -1.3205 | |
| 385 | L | A | 0.0000 | |
| 386 | G | A | -1.1658 | |
| 387 | D | A | -1.6019 | |
| 388 | E | A | -2.0168 | |
| 389 | G | A | 0.0000 | |
| 390 | A | A | 0.0000 | |
| 391 | R | A | -1.9302 | |
| 392 | L | A | -0.9707 | |
| 393 | L | A | 0.0000 | |
| 394 | C | A | 0.0000 | |
| 395 | E | A | -1.3222 | |
| 396 | T | A | -1.3162 | |
| 397 | L | A | 0.0000 | |
| 398 | L | A | -0.4589 | |
| 399 | S | A | -0.9740 | |
| 400 | E | A | -0.9547 | |
| 401 | R | A | -0.9889 | |
| 402 | S | A | 0.0000 | |
| 403 | K | A | 0.0000 | |
| 404 | P | A | -1.0190 | |
| 405 | N | A | -1.1151 | |
| 406 | N | A | -1.0265 | |
| 407 | P | A | -1.0497 | |
| 408 | A | A | -0.8511 | |
| 409 | Q | A | -1.0646 | |
| 410 | Y | A | 0.0000 | |
| 411 | P | A | -0.3914 | |
| 412 | A | A | -0.1343 | |
| 413 | F | A | 0.0000 | |
| 414 | S | A | -0.2309 | |
| 415 | V | A | 0.0000 | |
| 416 | T | A | -0.3536 | |
| 417 | N | A | 0.0000 | |
| 418 | P | A | 0.0000 | |
| 419 | G | A | -0.9503 | |
| 420 | S | A | -1.0232 | |
| 421 | L | A | 0.0000 | |
| 422 | W | A | -0.3097 | |
| 423 | V | A | 0.0000 | |
| 424 | K | A | -1.3177 | |
| 425 | S | A | -2.0189 | |
| 426 | C | A | 0.0000 | |
| 427 | S | A | -1.9093 | |
| 428 | F | A | 0.0000 | |
| 429 | T | A | -1.1007 | |
| 430 | A | A | -0.9224 | |
| 431 | A | A | -0.7637 | |
| 432 | C | A | 0.0000 | |
| 433 | C | A | 0.0000 | |
| 434 | S | A | -1.1401 | |
| 435 | H | A | -1.0279 | |
| 436 | F | A | 0.0000 | |
| 437 | S | A | -1.0627 | |
| 438 | S | A | -0.9472 | |
| 439 | V | A | 0.0000 | |
| 440 | L | A | 0.0000 | |
| 441 | A | A | -0.9759 | |
| 442 | Q | A | -1.1165 | |
| 443 | S | A | 0.0000 | |
| 444 | E | A | 0.0000 | |
| 445 | R | A | -2.2470 | |
| 446 | S | A | -1.4502 | |
| 447 | K | A | 0.0000 | |
| 448 | P | A | -0.7878 | |
| 449 | N | A | -0.8914 | |
| 450 | N | A | -1.1409 | |
| 451 | P | A | -0.9352 | |
| 452 | A | A | -1.0274 | |
| 453 | Q | A | -1.5280 | |
| 454 | Y | A | 0.0000 | |
| 455 | P | A | -0.6088 | |
| 456 | A | A | -0.4594 | |
| 457 | F | A | 0.0000 | |
| 458 | S | A | -0.1124 | |
| 459 | V | A | 0.0000 | |
| 460 | T | A | -0.2212 | |
| 461 | N | A | 0.0000 | |
| 462 | P | A | 0.0000 | |
| 463 | G | A | -0.5790 | |
| 464 | E | A | -0.6807 | |
| 465 | L | A | 0.0000 | |
| 466 | Q | A | -0.0986 | |
| 467 | I | A | 0.0000 | |
| 468 | S | A | 0.0000 | |
| 469 | N | A | -2.9400 | |
| 470 | N | A | -3.3145 | |
| 471 | R | A | -3.3620 | |
| 472 | L | A | 0.0000 | |
| 473 | E | A | -2.0734 | |
| 474 | D | A | -2.2716 | |
| 475 | A | A | -1.4963 | |
| 476 | G | A | 0.0000 | |
| 477 | V | A | 0.0000 | |
| 478 | R | A | -2.7473 | |
| 479 | E | A | -2.6748 | |
| 480 | L | A | 0.0000 | |
| 481 | C | A | 0.0000 | |
| 482 | Q | A | -2.3077 | |
| 483 | G | A | 0.0000 | |
| 484 | L | A | 0.0000 | |
| 485 | G | A | 0.0000 | |
| 486 | S | A | -1.5679 | |
| 487 | E | A | -1.9999 | |
| 488 | R | A | -2.3193 | |
| 489 | S | A | 0.0000 | |
| 490 | K | A | 0.0000 | |
| 491 | P | A | -1.0337 | |
| 492 | N | A | -1.0413 | |
| 493 | N | A | -1.0855 | |
| 494 | P | A | -0.8338 | |
| 495 | A | A | -0.5193 | |
| 496 | Q | A | -0.5724 | |
| 497 | Y | A | -0.1921 | |
| 498 | P | A | -0.2186 | |
| 499 | A | A | 0.0000 | |
| 500 | F | A | 0.0000 | |
| 501 | S | A | -0.0766 | |
| 502 | V | A | -0.2458 | |
| 503 | T | A | -0.1298 | |
| 504 | N | A | 0.0000 | |
| 505 | P | A | 0.0000 | |
| 506 | G | A | -0.2601 | |
| 507 | V | A | -0.0294 | |
| 508 | L | A | 0.0000 | |
| 509 | W | A | 0.2281 | |
| 510 | L | A | 0.0000 | |
| 511 | A | A | -1.2470 | |
| 512 | D | A | -2.5364 | |
| 513 | C | A | 0.0000 | |
| 514 | D | A | -2.1785 | |
| 515 | V | A | 0.0000 | |
| 516 | S | A | -1.1923 | |
| 517 | D | A | -1.6852 | |
| 518 | S | A | -1.2304 | |
| 519 | S | A | 0.0000 | |
| 520 | C | A | 0.0000 | |
| 521 | S | A | -0.8194 | |
| 522 | S | A | -1.3114 | |
| 523 | L | A | 0.0000 | |
| 524 | A | A | 0.0000 | |
| 525 | A | A | -0.7209 | |
| 526 | T | A | 0.0000 | |
| 527 | L | A | 0.0000 | |
| 528 | L | A | -0.7349 | |
| 529 | A | A | 0.0000 | |
| 530 | S | A | 0.0000 | |
| 531 | E | A | 0.0000 | |
| 532 | R | A | -2.2709 | |
| 533 | S | A | -1.8727 | |
| 534 | K | A | -2.3718 | |
| 535 | P | A | 0.0000 | |
| 536 | N | A | 0.0000 | |
| 537 | N | A | -1.6896 | |
| 538 | P | A | -1.1031 | |
| 539 | A | A | -0.8809 | |
| 540 | Q | A | -1.1576 | |
| 541 | Y | A | -0.2348 | |
| 542 | P | A | -0.0507 | |
| 543 | A | A | -0.3033 | |
| 544 | F | A | 0.0000 | |
| 545 | S | A | -0.2041 | |
| 546 | V | A | 0.0000 | |
| 547 | T | A | -0.2475 | |
| 548 | N | A | 0.0000 | |
| 549 | P | A | 0.0000 | |
| 550 | G | A | -0.4127 | |
| 551 | E | A | 0.0000 | |
| 552 | L | A | 0.0000 | |
| 553 | D | A | 0.2474 | |
| 554 | L | A | 0.0000 | |
| 555 | S | A | 0.0000 | |
| 556 | N | A | -1.1078 | |
| 557 | N | A | -0.9362 | |
| 558 | C | A | -0.2823 | |
| 559 | L | A | 0.0000 | |
| 560 | G | A | -0.0106 | |
| 561 | D | A | -0.9647 | |
| 562 | A | A | -0.3923 | |
| 563 | G | A | 0.0000 | |
| 564 | I | A | 0.0000 | |
| 565 | L | A | -1.1420 | |
| 566 | Q | A | -1.7202 | |
| 567 | L | A | 0.0000 | |
| 568 | V | A | 0.0000 | |
| 569 | E | A | -2.7185 | |
| 570 | S | A | 0.0000 | |
| 571 | V | A | 0.0000 | |
| 572 | R | A | -2.9245 | |
| 573 | S | A | -2.4165 | |
| 574 | E | A | -3.0242 | |
| 575 | R | A | -2.9372 | |
| 576 | S | A | 0.0000 | |
| 577 | K | A | -1.8337 | |
| 578 | P | A | 0.0000 | |
| 579 | N | A | -1.3340 | |
| 580 | N | A | -1.2932 | |
| 581 | P | A | -0.9065 | |
| 582 | A | A | -0.7846 | |
| 583 | Q | A | -0.9687 | |
| 584 | Y | A | 0.0000 | |
| 585 | P | A | -0.3546 | |
| 586 | A | A | -0.0100 | |
| 587 | F | A | 0.0000 | |
| 588 | S | A | -0.1305 | |
| 589 | V | A | 0.0000 | |
| 590 | T | A | -0.2251 | |
| 591 | N | A | 0.0000 | |
| 592 | P | A | 0.0000 | |
| 593 | G | A | -0.9100 | |
| 594 | Q | A | -0.9477 | |
| 595 | L | A | 0.0000 | |
| 596 | V | A | 0.4397 | |
| 597 | L | A | 0.0000 | |
| 598 | Y | A | 0.5237 | |
| 599 | D | A | -0.9957 | |
| 600 | I | A | 0.0000 | |
| 601 | Y | A | 0.6014 | |
| 602 | W | A | -0.7588 | |
| 603 | S | A | -1.8772 | |
| 604 | E | A | -3.6228 | |
| 605 | E | A | -3.8909 | |
| 606 | M | A | 0.0000 | |
| 607 | E | A | -3.3546 | |
| 608 | D | A | -3.9111 | |
| 609 | R | A | -3.7107 | |
| 610 | L | A | 0.0000 | |
| 611 | Q | A | -3.0234 | |
| 612 | A | A | -2.5131 | |
| 613 | L | A | 0.0000 | |
| 614 | E | A | -3.8842 | |
| 615 | K | A | -3.4843 | |
| 616 | D | A | -3.5428 | |
| 617 | S | A | -3.4854 | |
| 618 | E | A | -3.7165 | |
| 619 | R | A | -3.4732 | |
| 620 | S | A | -2.7324 | |
| 621 | K | A | -2.5253 | |
| 622 | P | A | -1.7787 | |
| 623 | N | A | -1.4925 | |
| 624 | N | A | -1.5116 | |
| 625 | P | A | -1.2345 | |
| 626 | A | A | -0.9238 | |
| 627 | Q | A | -1.4105 | |
| 628 | Y | A | 0.0000 | |
| 629 | P | A | -0.7305 | |
| 630 | A | A | -0.3466 | |
| 631 | F | A | -0.4785 | |
| 632 | S | A | -0.5488 | |
| 633 | V | A | 0.0000 | |
| 634 | T | A | -0.7058 | |
| 635 | N | A | 0.0000 | |
| 636 | P | A | 0.0000 | |
| 637 | G | A | -2.2113 | |
| 638 | R | A | -2.4257 | |
| 639 | V | A | -0.9152 | |
| 640 | I | A | 0.4612 | |
| 641 | S | A | 0.0221 |
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, -0.7933 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_5 | -0.7933 | View | CSV | PDB |
| model_0 | -0.8273 | View | CSV | PDB |
| model_8 | -0.8282 | View | CSV | PDB |
| model_1 | -0.8282 | View | CSV | PDB |
| model_3 | -0.8301 | View | CSV | PDB |
| model_2 | -0.8346 | View | CSV | PDB |
| model_7 | -0.8413 | View | CSV | PDB |
| input | -0.8415 | View | CSV | PDB |
| model_11 | -0.8422 | View | CSV | PDB |
| CABS_average | -0.8478 | View | CSV | PDB |
| model_4 | -0.8774 | View | CSV | PDB |
| model_6 | -0.8822 | View | CSV | PDB |
| model_9 | -0.8856 | View | CSV | PDB |
| model_10 | -0.9031 | View | CSV | PDB |