| Chain sequence(s) |
A: SLDIQSLDIQCEELSDARWAELLPLLQEAEMGCATLDNTPSSAELLGVRLDDCGLTEARCKDISSALRVEAEMGCATLDNTPSSAELLGELNLRSNELGDVGVHCVLQGLQEAEMGCATLDNTPSSAELLGKLSLQNCCLTGAGCGVLSSTLRTEAEMGCATLDNTPSSAELLGELHLSDNLLGDAGLQLLCEGLLEAEMGCATLDNTPSSAELLGKLQLEYCSLSAASCEPLASVLRAEAEMGCATLDNTPSSAELLGELTVSNNDINEAGVRVLCQGLKDEAEMGCATLDNTPSSAELLGALKLESCGVTSDNCRDLCGIVASEAEMGCATLDNTPSSAELLGELALGSNKLGDVGMAELCPGLLLFTYLRFDAEITILTTLWIWECGITAKGCGDLCRVLRALFTYLRFDAEITILTELSLAGNELGDEGARLLCETLLLFTYLRFDAEITILTSLWVKSCSFTAACCSHFSSVLAQLFTYLRFDAEITILTELQISNNRLEDAGVRELCQGLGLFTYLRFDAEITILTVLWLADCDVSDSSCSSLAATLLALFTYLRFDAEITILTELDLSNNCLGDAGILQLVESVRLFTYLRFDAEITILTQLVLYDIYWSEEMEDRLQALEKDLFTYLRFDAEITILTRVIS
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 (00:12:47)
[INFO] Analysis: Starting Aggrescan4D on model_8.pdb (02:48:49)
[INFO] Analysis: Starting Aggrescan4D on model_6.pdb (02:48:57)
[INFO] Analysis: Starting Aggrescan4D on model_11.pdb (02:49:05)
[INFO] Analysis: Starting Aggrescan4D on model_7.pdb (02:49:13)
[INFO] Analysis: Starting Aggrescan4D on model_3.pdb (02:49:21)
[INFO] Analysis: Starting Aggrescan4D on model_5.pdb (02:49:29)
[INFO] Analysis: Starting Aggrescan4D on model_1.pdb (02:49:38)
[INFO] Analysis: Starting Aggrescan4D on model_0.pdb (02:49:47)
[INFO] Analysis: Starting Aggrescan4D on model_2.pdb (02:49:54)
[INFO] Analysis: Starting Aggrescan4D on model_4.pdb (02:50:01)
[INFO] Analysis: Starting Aggrescan4D on model_10.pdb (02:50:08)
[INFO] Analysis: Starting Aggrescan4D on model_9.pdb (02:50:15)
[INFO] Analysis: Starting Aggrescan4D on input.pdb (02:50:22)
[INFO] Analysis: Starting Aggrescan4D on folded.pdb (02:50:41)
[INFO] Main: Simulation completed successfully. (02:50:49)
|
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 | 0.1217 | |
| 2 | L | A | 0.6217 | |
| 3 | D | A | -1.2260 | |
| 4 | I | A | -0.6714 | |
| 5 | Q | A | -1.5708 | |
| 6 | S | A | -1.0693 | |
| 7 | L | A | -0.7277 | |
| 8 | D | A | -1.7529 | |
| 9 | I | A | -1.6391 | |
| 10 | Q | A | -2.1842 | |
| 11 | C | A | -1.2456 | |
| 12 | E | A | -2.0664 | |
| 13 | E | A | -2.9332 | |
| 14 | L | A | 0.0000 | |
| 15 | S | A | -2.0939 | |
| 16 | D | A | -2.5197 | |
| 17 | A | A | -1.6642 | |
| 18 | R | A | -2.1683 | |
| 19 | W | A | 0.0000 | |
| 20 | A | A | -1.5104 | |
| 21 | E | A | -2.2120 | |
| 22 | L | A | 0.0000 | |
| 23 | L | A | -0.7640 | |
| 24 | P | A | -0.9680 | |
| 25 | L | A | -0.7198 | |
| 26 | L | A | 0.0000 | |
| 27 | Q | A | -1.0642 | |
| 28 | E | A | -1.6787 | |
| 29 | A | A | -1.1006 | |
| 30 | E | A | -0.5214 | |
| 31 | M | A | 0.0885 | |
| 32 | G | A | -0.4429 | |
| 33 | C | A | 0.0769 | |
| 34 | A | A | 0.3796 | |
| 35 | T | A | 0.1602 | |
| 36 | L | A | 0.2876 | |
| 37 | D | A | -1.6596 | |
| 38 | N | A | -1.6686 | |
| 39 | T | A | -1.1013 | |
| 40 | P | A | -0.8728 | |
| 41 | S | A | -0.7399 | |
| 42 | S | A | -0.8901 | |
| 43 | A | A | -1.0146 | |
| 44 | E | A | -2.0437 | |
| 45 | L | A | -1.0061 | |
| 46 | L | A | -0.7019 | |
| 47 | G | A | -1.0750 | |
| 48 | V | A | 0.0000 | |
| 49 | R | A | -1.8561 | |
| 50 | L | A | 0.0000 | |
| 51 | D | A | -2.2221 | |
| 52 | D | A | -2.7506 | |
| 53 | C | A | 0.0000 | |
| 54 | G | A | -1.9935 | |
| 55 | L | A | 0.0000 | |
| 56 | T | A | -1.2866 | |
| 57 | E | A | -1.5855 | |
| 58 | A | A | -0.8476 | |
| 59 | R | A | 0.0000 | |
| 60 | C | A | 0.0000 | |
| 61 | K | A | -2.1596 | |
| 62 | D | A | -1.4600 | |
| 63 | I | A | 0.0000 | |
| 64 | S | A | 0.0000 | |
| 65 | S | A | -1.0027 | |
| 66 | A | A | 0.0000 | |
| 67 | L | A | 0.0000 | |
| 68 | R | A | -1.1688 | |
| 69 | V | A | -0.8205 | |
| 70 | E | A | 0.0000 | |
| 71 | A | A | 0.0000 | |
| 72 | E | A | -1.6987 | |
| 73 | M | A | -0.4986 | |
| 74 | G | A | -0.4613 | |
| 75 | C | A | -0.5542 | |
| 76 | A | A | -0.7490 | |
| 77 | T | A | -0.8251 | |
| 78 | L | A | -1.0899 | |
| 79 | D | A | -2.6641 | |
| 80 | N | A | -2.3022 | |
| 81 | T | A | -1.5367 | |
| 82 | P | A | -0.9767 | |
| 83 | S | A | -0.5528 | |
| 84 | S | A | -0.8009 | |
| 85 | A | A | -0.7971 | |
| 86 | E | A | -1.3221 | |
| 87 | L | A | -0.5190 | |
| 88 | L | A | 0.0000 | |
| 89 | G | A | -1.0518 | |
| 90 | E | A | -0.8617 | |
| 91 | L | A | 0.0000 | |
| 92 | N | A | 0.0000 | |
| 93 | L | A | 0.0000 | |
| 94 | R | A | -1.7591 | |
| 95 | S | A | -1.7543 | |
| 96 | N | A | 0.0000 | |
| 97 | E | A | -2.3724 | |
| 98 | L | A | 0.0000 | |
| 99 | G | A | -0.6206 | |
| 100 | D | A | -0.3210 | |
| 101 | V | A | 0.2981 | |
| 102 | G | A | 0.0000 | |
| 103 | V | A | 0.0000 | |
| 104 | H | A | -0.6258 | |
| 105 | C | A | -0.8312 | |
| 106 | V | A | 0.0000 | |
| 107 | L | A | 0.0000 | |
| 108 | Q | A | -1.1912 | |
| 109 | G | A | 0.0000 | |
| 110 | L | A | 0.0000 | |
| 111 | Q | A | -0.7869 | |
| 112 | E | A | -1.1416 | |
| 113 | A | A | 0.0000 | |
| 114 | E | A | 0.0000 | |
| 115 | M | A | 0.0029 | |
| 116 | G | A | -0.4633 | |
| 117 | C | A | -0.1280 | |
| 118 | A | A | -0.0479 | |
| 119 | T | A | -0.3010 | |
| 120 | L | A | -1.0082 | |
| 121 | D | A | -2.4232 | |
| 122 | N | A | -2.6638 | |
| 123 | T | A | -1.5886 | |
| 124 | P | A | -0.7643 | |
| 125 | S | A | -0.6451 | |
| 126 | S | A | -0.5457 | |
| 127 | A | A | -0.5727 | |
| 128 | E | A | -0.8964 | |
| 129 | L | A | -0.4002 | |
| 130 | L | A | 0.0000 | |
| 131 | G | A | -0.9569 | |
| 132 | K | A | -1.2498 | |
| 133 | L | A | 0.0000 | |
| 134 | S | A | 0.0000 | |
| 135 | L | A | 0.0000 | |
| 136 | Q | A | -0.9297 | |
| 137 | N | A | -1.3717 | |
| 138 | C | A | 0.0000 | |
| 139 | C | A | -0.1013 | |
| 140 | L | A | 0.0000 | |
| 141 | T | A | 0.5037 | |
| 142 | G | A | 0.1364 | |
| 143 | A | A | 0.2615 | |
| 144 | G | A | 0.0000 | |
| 145 | C | A | 0.0000 | |
| 146 | G | A | -0.1599 | |
| 147 | V | A | 0.0920 | |
| 148 | L | A | 0.0000 | |
| 149 | S | A | 0.0000 | |
| 150 | S | A | -0.5394 | |
| 151 | T | A | 0.0000 | |
| 152 | L | A | 0.0000 | |
| 153 | R | A | -1.4317 | |
| 154 | T | A | -1.1508 | |
| 155 | E | A | 0.0000 | |
| 156 | A | A | 0.0000 | |
| 157 | E | A | -1.9917 | |
| 158 | M | A | 0.0000 | |
| 159 | G | A | -0.8770 | |
| 160 | C | A | -0.9968 | |
| 161 | A | A | -1.0829 | |
| 162 | T | A | -1.4017 | |
| 163 | L | A | 0.0000 | |
| 164 | D | A | -2.6810 | |
| 165 | N | A | -2.3949 | |
| 166 | T | A | -1.5061 | |
| 167 | P | A | 0.0000 | |
| 168 | S | A | -0.4713 | |
| 169 | S | A | -0.5031 | |
| 170 | A | A | -0.4437 | |
| 171 | E | A | -0.6963 | |
| 172 | L | A | -0.2204 | |
| 173 | L | A | 0.0000 | |
| 174 | G | A | -0.8678 | |
| 175 | E | A | -0.9970 | |
| 176 | L | A | 0.0000 | |
| 177 | H | A | -0.8656 | |
| 178 | L | A | 0.0000 | |
| 179 | S | A | 0.0000 | |
| 180 | D | A | -0.4659 | |
| 181 | N | A | 0.0000 | |
| 182 | L | A | 1.4818 | |
| 183 | L | A | 0.0000 | |
| 184 | G | A | 0.0919 | |
| 185 | D | A | -0.4792 | |
| 186 | A | A | -0.2512 | |
| 187 | G | A | 0.0000 | |
| 188 | L | A | 0.0000 | |
| 189 | Q | A | -0.8856 | |
| 190 | L | A | -0.0976 | |
| 191 | L | A | 0.0000 | |
| 192 | C | A | 0.0000 | |
| 193 | E | A | -1.6172 | |
| 194 | G | A | 0.0000 | |
| 195 | L | A | 0.0000 | |
| 196 | L | A | -0.6573 | |
| 197 | E | A | -1.4726 | |
| 198 | A | A | 0.0000 | |
| 199 | E | A | 0.0000 | |
| 200 | M | A | 0.4383 | |
| 201 | G | A | -0.3707 | |
| 202 | C | A | -0.1806 | |
| 203 | A | A | -0.1517 | |
| 204 | T | A | -0.1354 | |
| 205 | L | A | -0.9237 | |
| 206 | D | A | -2.0931 | |
| 207 | N | A | -1.7957 | |
| 208 | T | A | -1.2426 | |
| 209 | P | A | 0.0000 | |
| 210 | S | A | -0.5512 | |
| 211 | S | A | -0.5324 | |
| 212 | A | A | -0.4365 | |
| 213 | E | A | -0.6755 | |
| 214 | L | A | -0.2709 | |
| 215 | L | A | 0.0000 | |
| 216 | G | A | -0.8411 | |
| 217 | K | A | -1.0030 | |
| 218 | L | A | 0.0000 | |
| 219 | Q | A | -0.5404 | |
| 220 | L | A | 0.0000 | |
| 221 | E | A | -0.3055 | |
| 222 | Y | A | 0.5309 | |
| 223 | C | A | 0.0000 | |
| 224 | S | A | -0.0857 | |
| 225 | L | A | 0.0000 | |
| 226 | S | A | -0.9787 | |
| 227 | A | A | -1.1933 | |
| 228 | A | A | -0.5365 | |
| 229 | S | A | 0.0000 | |
| 230 | C | A | 0.0000 | |
| 231 | E | A | -2.0014 | |
| 232 | P | A | 0.0000 | |
| 233 | L | A | 0.0000 | |
| 234 | A | A | 0.0000 | |
| 235 | S | A | -0.7987 | |
| 236 | V | A | 0.0000 | |
| 237 | L | A | 0.0000 | |
| 238 | R | A | -1.2287 | |
| 239 | A | A | -0.7762 | |
| 240 | E | A | 0.0000 | |
| 241 | A | A | 0.0000 | |
| 242 | E | A | -1.9186 | |
| 243 | M | A | 0.0000 | |
| 244 | G | A | -0.9178 | |
| 245 | C | A | -0.9595 | |
| 246 | A | A | -1.0617 | |
| 247 | T | A | -1.1049 | |
| 248 | L | A | -1.7705 | |
| 249 | D | A | -2.7284 | |
| 250 | N | A | -2.3479 | |
| 251 | T | A | -1.7269 | |
| 252 | P | A | 0.0000 | |
| 253 | S | A | -0.5119 | |
| 254 | S | A | -0.6985 | |
| 255 | A | A | -0.8155 | |
| 256 | E | A | -1.3387 | |
| 257 | L | A | -0.7014 | |
| 258 | L | A | 0.0000 | |
| 259 | G | A | -0.7980 | |
| 260 | E | A | 0.0000 | |
| 261 | L | A | 0.0000 | |
| 262 | T | A | 0.0000 | |
| 263 | V | A | 0.0000 | |
| 264 | S | A | 0.0000 | |
| 265 | N | A | -0.7741 | |
| 266 | N | A | 0.0000 | |
| 267 | D | A | -2.1821 | |
| 268 | I | A | 0.0000 | |
| 269 | N | A | -2.0580 | |
| 270 | E | A | -2.3602 | |
| 271 | A | A | -1.3257 | |
| 272 | G | A | 0.0000 | |
| 273 | V | A | 0.0000 | |
| 274 | R | A | -2.9195 | |
| 275 | V | A | -1.3465 | |
| 276 | L | A | 0.0000 | |
| 277 | C | A | 0.0000 | |
| 278 | Q | A | -2.1305 | |
| 279 | G | A | 0.0000 | |
| 280 | L | A | 0.0000 | |
| 281 | K | A | -1.7354 | |
| 282 | D | A | -2.0977 | |
| 283 | E | A | 0.0000 | |
| 284 | A | A | 0.0000 | |
| 285 | E | A | -2.2009 | |
| 286 | M | A | -1.2524 | |
| 287 | G | A | -0.7303 | |
| 288 | C | A | -0.7537 | |
| 289 | A | A | -0.5023 | |
| 290 | T | A | -1.2893 | |
| 291 | L | A | -1.3674 | |
| 292 | D | A | -2.6381 | |
| 293 | N | A | -2.7153 | |
| 294 | T | A | -1.5861 | |
| 295 | P | A | 0.0000 | |
| 296 | S | A | -0.6773 | |
| 297 | S | A | -0.8150 | |
| 298 | A | A | -1.0194 | |
| 299 | E | A | -1.6370 | |
| 300 | L | A | 0.0000 | |
| 301 | L | A | 0.0000 | |
| 302 | G | A | -0.8964 | |
| 303 | A | A | -0.3934 | |
| 304 | L | A | 0.0000 | |
| 305 | K | A | -0.4751 | |
| 306 | L | A | 0.0000 | |
| 307 | E | A | -0.6626 | |
| 308 | S | A | -1.1878 | |
| 309 | C | A | 0.0000 | |
| 310 | G | A | -1.6731 | |
| 311 | V | A | 0.0000 | |
| 312 | T | A | -1.8005 | |
| 313 | S | A | -1.4579 | |
| 314 | D | A | -2.6965 | |
| 315 | N | A | 0.0000 | |
| 316 | C | A | 0.0000 | |
| 317 | R | A | -2.9300 | |
| 318 | D | A | -2.2545 | |
| 319 | L | A | 0.0000 | |
| 320 | C | A | -0.8339 | |
| 321 | G | A | -0.9312 | |
| 322 | I | A | 0.0000 | |
| 323 | V | A | 0.0000 | |
| 324 | A | A | -0.5021 | |
| 325 | S | A | 0.0000 | |
| 326 | E | A | 0.0000 | |
| 327 | A | A | 0.0000 | |
| 328 | E | A | -1.6369 | |
| 329 | M | A | 0.0000 | |
| 330 | G | A | 0.0000 | |
| 331 | C | A | -0.7886 | |
| 332 | A | A | -1.0898 | |
| 333 | T | A | 0.0000 | |
| 334 | L | A | -1.7322 | |
| 335 | D | A | -2.5618 | |
| 336 | N | A | -2.3121 | |
| 337 | T | A | -1.4811 | |
| 338 | P | A | 0.0000 | |
| 339 | S | A | -0.9384 | |
| 340 | S | A | -1.2040 | |
| 341 | A | A | 0.0000 | |
| 342 | E | A | -1.5318 | |
| 343 | L | A | 0.0000 | |
| 344 | L | A | 0.0000 | |
| 345 | G | A | -0.6254 | |
| 346 | E | A | -0.4182 | |
| 347 | L | A | 0.0000 | |
| 348 | A | A | 0.0000 | |
| 349 | L | A | 0.0000 | |
| 350 | G | A | 0.0000 | |
| 351 | S | A | -1.2840 | |
| 352 | N | A | 0.0000 | |
| 353 | K | A | -2.0725 | |
| 354 | L | A | 0.0000 | |
| 355 | G | A | -0.7428 | |
| 356 | D | A | -0.4153 | |
| 357 | V | A | 0.6889 | |
| 358 | G | A | 0.0000 | |
| 359 | M | A | 0.0000 | |
| 360 | A | A | -0.4101 | |
| 361 | E | A | -1.2470 | |
| 362 | L | A | 0.0000 | |
| 363 | C | A | 0.0000 | |
| 364 | P | A | -0.5678 | |
| 365 | G | A | 0.0000 | |
| 366 | L | A | 0.0000 | |
| 367 | L | A | 0.1369 | |
| 368 | L | A | 0.4418 | |
| 369 | F | A | 0.0000 | |
| 370 | T | A | 0.0000 | |
| 371 | Y | A | 1.1028 | |
| 372 | L | A | 0.0000 | |
| 373 | R | A | -2.4050 | |
| 374 | F | A | 0.0000 | |
| 375 | D | A | -3.4112 | |
| 376 | A | A | -2.2635 | |
| 377 | E | A | -2.4794 | |
| 378 | I | A | 0.0000 | |
| 379 | T | A | -0.8608 | |
| 380 | I | A | 0.0000 | |
| 381 | L | A | 0.0000 | |
| 382 | T | A | -0.3428 | |
| 383 | T | A | -0.2159 | |
| 384 | L | A | 0.0000 | |
| 385 | W | A | -0.0472 | |
| 386 | I | A | 0.0000 | |
| 387 | W | A | -0.6918 | |
| 388 | E | A | -2.4332 | |
| 389 | C | A | 0.0000 | |
| 390 | G | A | -1.7832 | |
| 391 | I | A | 0.0000 | |
| 392 | T | A | -1.5975 | |
| 393 | A | A | -1.7833 | |
| 394 | K | A | -1.8948 | |
| 395 | G | A | 0.0000 | |
| 396 | C | A | 0.0000 | |
| 397 | G | A | -1.7260 | |
| 398 | D | A | -1.7213 | |
| 399 | L | A | 0.0000 | |
| 400 | C | A | 0.0000 | |
| 401 | R | A | -2.2898 | |
| 402 | V | A | 0.0000 | |
| 403 | L | A | 0.0000 | |
| 404 | R | A | -1.2173 | |
| 405 | A | A | 0.0000 | |
| 406 | L | A | 0.0000 | |
| 407 | F | A | 0.0000 | |
| 408 | T | A | 0.2061 | |
| 409 | Y | A | 0.8066 | |
| 410 | L | A | 0.0000 | |
| 411 | R | A | -2.7097 | |
| 412 | F | A | -2.9533 | |
| 413 | D | A | -3.6683 | |
| 414 | A | A | -2.9665 | |
| 415 | E | A | -2.8876 | |
| 416 | I | A | 0.0000 | |
| 417 | T | A | -0.7683 | |
| 418 | I | A | 0.0000 | |
| 419 | L | A | 0.0000 | |
| 420 | T | A | -0.1854 | |
| 421 | E | A | -0.3158 | |
| 422 | L | A | 0.0000 | |
| 423 | S | A | 0.0000 | |
| 424 | L | A | 0.0000 | |
| 425 | A | A | -0.8933 | |
| 426 | G | A | -1.6056 | |
| 427 | N | A | 0.0000 | |
| 428 | E | A | -2.3987 | |
| 429 | L | A | 0.0000 | |
| 430 | G | A | -1.4010 | |
| 431 | D | A | -1.4801 | |
| 432 | E | A | -1.7136 | |
| 433 | G | A | 0.0000 | |
| 434 | A | A | 0.0000 | |
| 435 | R | A | -1.5778 | |
| 436 | L | A | -1.4918 | |
| 437 | L | A | 0.0000 | |
| 438 | C | A | 0.0000 | |
| 439 | E | A | -1.6382 | |
| 440 | T | A | 0.0000 | |
| 441 | L | A | 0.0000 | |
| 442 | L | A | -0.0272 | |
| 443 | L | A | 0.2884 | |
| 444 | F | A | 0.0000 | |
| 445 | T | A | 0.0000 | |
| 446 | Y | A | 1.5384 | |
| 447 | L | A | 0.5815 | |
| 448 | R | A | -1.6598 | |
| 449 | F | A | -2.5198 | |
| 450 | D | A | -3.4520 | |
| 451 | A | A | -2.7779 | |
| 452 | E | A | -2.7073 | |
| 453 | I | A | 0.0000 | |
| 454 | T | A | -0.6396 | |
| 455 | I | A | 0.0000 | |
| 456 | L | A | 0.0000 | |
| 457 | T | A | -0.1871 | |
| 458 | S | A | 0.0000 | |
| 459 | L | A | 0.0000 | |
| 460 | W | A | 0.1276 | |
| 461 | V | A | 0.0000 | |
| 462 | K | A | -0.7701 | |
| 463 | S | A | -1.6685 | |
| 464 | C | A | 0.0000 | |
| 465 | S | A | -1.5658 | |
| 466 | F | A | 0.0000 | |
| 467 | T | A | -1.0989 | |
| 468 | A | A | -1.2055 | |
| 469 | A | A | -0.7714 | |
| 470 | C | A | 0.0000 | |
| 471 | C | A | 0.0000 | |
| 472 | S | A | -0.9654 | |
| 473 | H | A | -0.9761 | |
| 474 | F | A | 0.0000 | |
| 475 | S | A | -0.9328 | |
| 476 | S | A | -0.6483 | |
| 477 | V | A | 0.0000 | |
| 478 | L | A | 0.0000 | |
| 479 | A | A | 0.0036 | |
| 480 | Q | A | 0.4524 | |
| 481 | L | A | 0.0000 | |
| 482 | F | A | 0.2209 | |
| 483 | T | A | 0.4817 | |
| 484 | Y | A | 1.3020 | |
| 485 | L | A | 0.0454 | |
| 486 | R | A | -2.0539 | |
| 487 | F | A | -2.0922 | |
| 488 | D | A | -2.8748 | |
| 489 | A | A | -2.5360 | |
| 490 | E | A | -2.6842 | |
| 491 | I | A | -1.1463 | |
| 492 | T | A | -0.4317 | |
| 493 | I | A | 0.0000 | |
| 494 | L | A | 0.0000 | |
| 495 | T | A | -0.1040 | |
| 496 | E | A | -0.1783 | |
| 497 | L | A | 0.0000 | |
| 498 | Q | A | 0.0000 | |
| 499 | I | A | 0.0000 | |
| 500 | S | A | 0.0000 | |
| 501 | N | A | -2.2577 | |
| 502 | N | A | 0.0000 | |
| 503 | R | A | -2.9574 | |
| 504 | L | A | 0.0000 | |
| 505 | E | A | -2.5803 | |
| 506 | D | A | -2.0375 | |
| 507 | A | A | -1.4043 | |
| 508 | G | A | 0.0000 | |
| 509 | V | A | 0.0000 | |
| 510 | R | A | -2.6995 | |
| 511 | E | A | -2.4020 | |
| 512 | L | A | 0.0000 | |
| 513 | C | A | 0.0000 | |
| 514 | Q | A | -1.9112 | |
| 515 | G | A | 0.0000 | |
| 516 | L | A | 0.0000 | |
| 517 | G | A | -0.1306 | |
| 518 | L | A | 0.5794 | |
| 519 | F | A | 0.0000 | |
| 520 | T | A | 0.0000 | |
| 521 | Y | A | 1.2726 | |
| 522 | L | A | 0.2805 | |
| 523 | R | A | -2.4738 | |
| 524 | F | A | -2.6231 | |
| 525 | D | A | -3.3421 | |
| 526 | A | A | -2.8205 | |
| 527 | E | A | -3.0286 | |
| 528 | I | A | -1.4504 | |
| 529 | T | A | -0.6756 | |
| 530 | I | A | 0.0000 | |
| 531 | L | A | 0.0000 | |
| 532 | T | A | -0.0525 | |
| 533 | V | A | 0.0438 | |
| 534 | L | A | 0.0000 | |
| 535 | W | A | -0.0593 | |
| 536 | L | A | 0.0000 | |
| 537 | A | A | 0.0000 | |
| 538 | D | A | -2.6990 | |
| 539 | C | A | 0.0000 | |
| 540 | D | A | -2.4066 | |
| 541 | V | A | 0.0000 | |
| 542 | S | A | -0.7095 | |
| 543 | D | A | -0.8986 | |
| 544 | S | A | -1.0068 | |
| 545 | S | A | 0.0000 | |
| 546 | C | A | 0.0000 | |
| 547 | S | A | -0.6130 | |
| 548 | S | A | -1.0282 | |
| 549 | L | A | 0.0000 | |
| 550 | A | A | 0.0000 | |
| 551 | A | A | -0.1007 | |
| 552 | T | A | 0.0000 | |
| 553 | L | A | 0.0000 | |
| 554 | L | A | 0.3451 | |
| 555 | A | A | 0.6992 | |
| 556 | L | A | 0.0000 | |
| 557 | F | A | 0.0000 | |
| 558 | T | A | 0.4872 | |
| 559 | Y | A | 1.2800 | |
| 560 | L | A | -0.2037 | |
| 561 | R | A | -2.1655 | |
| 562 | F | A | 0.0000 | |
| 563 | D | A | -3.7413 | |
| 564 | A | A | -3.1265 | |
| 565 | E | A | -3.1030 | |
| 566 | I | A | 0.0000 | |
| 567 | T | A | -0.7139 | |
| 568 | I | A | 0.0000 | |
| 569 | L | A | 0.0000 | |
| 570 | T | A | -0.1507 | |
| 571 | E | A | -0.4730 | |
| 572 | L | A | 0.0000 | |
| 573 | D | A | -0.2039 | |
| 574 | L | A | 0.0000 | |
| 575 | S | A | 0.0000 | |
| 576 | N | A | -1.9373 | |
| 577 | N | A | 0.0000 | |
| 578 | C | A | -0.0902 | |
| 579 | L | A | 0.0000 | |
| 580 | G | A | 0.0243 | |
| 581 | D | A | -1.0424 | |
| 582 | A | A | -0.4945 | |
| 583 | G | A | 0.0000 | |
| 584 | I | A | 0.0000 | |
| 585 | L | A | -0.6684 | |
| 586 | Q | A | -1.1411 | |
| 587 | L | A | 0.0000 | |
| 588 | V | A | 0.0000 | |
| 589 | E | A | -1.6802 | |
| 590 | S | A | 0.0000 | |
| 591 | V | A | 0.0000 | |
| 592 | R | A | -0.7651 | |
| 593 | L | A | 0.5954 | |
| 594 | F | A | 0.0000 | |
| 595 | T | A | 0.9548 | |
| 596 | Y | A | 1.4006 | |
| 597 | L | A | 0.3345 | |
| 598 | R | A | -1.4034 | |
| 599 | F | A | -2.2854 | |
| 600 | D | A | -3.3233 | |
| 601 | A | A | 0.0000 | |
| 602 | E | A | -2.9251 | |
| 603 | I | A | 0.0000 | |
| 604 | T | A | -0.7064 | |
| 605 | I | A | 0.0000 | |
| 606 | L | A | 0.0000 | |
| 607 | T | A | -0.6134 | |
| 608 | Q | A | -0.8104 | |
| 609 | L | A | 0.0000 | |
| 610 | V | A | 0.0000 | |
| 611 | L | A | 0.0000 | |
| 612 | Y | A | 0.0736 | |
| 613 | D | A | -1.4147 | |
| 614 | I | A | 0.0000 | |
| 615 | Y | A | 0.6646 | |
| 616 | W | A | -0.4421 | |
| 617 | S | A | -1.8511 | |
| 618 | E | A | -3.4513 | |
| 619 | E | A | -3.8076 | |
| 620 | M | A | 0.0000 | |
| 621 | E | A | -3.2888 | |
| 622 | D | A | -3.9985 | |
| 623 | R | A | -3.4150 | |
| 624 | L | A | 0.0000 | |
| 625 | Q | A | -3.1339 | |
| 626 | A | A | -2.5804 | |
| 627 | L | A | 0.0000 | |
| 628 | E | A | -2.7548 | |
| 629 | K | A | -2.1952 | |
| 630 | D | A | -0.9272 | |
| 631 | L | A | 0.0000 | |
| 632 | F | A | 1.2421 | |
| 633 | T | A | 0.6489 | |
| 634 | Y | A | 1.7778 | |
| 635 | L | A | 1.1533 | |
| 636 | R | A | -0.6130 | |
| 637 | F | A | -0.3342 | |
| 638 | D | A | -2.0412 | |
| 639 | A | A | -2.1945 | |
| 640 | E | A | -2.2342 | |
| 641 | I | A | -0.9682 | |
| 642 | T | A | -0.2092 | |
| 643 | I | A | 0.0000 | |
| 644 | L | A | 0.0000 | |
| 645 | T | A | -0.8650 | |
| 646 | R | A | -1.9405 | |
| 647 | V | A | -0.6296 | |
| 648 | I | A | 0.0927 | |
| 649 | S | A | 0.0503 |
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, -0.7029 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 |
|||
| input | -0.7029 | View | CSV | PDB |
| model_0 | -0.715 | View | CSV | PDB |
| model_2 | -0.7208 | View | CSV | PDB |
| model_5 | -0.7252 | View | CSV | PDB |
| model_8 | -0.7279 | View | CSV | PDB |
| model_9 | -0.7288 | View | CSV | PDB |
| model_1 | -0.7462 | View | CSV | PDB |
| CABS_average | -0.7467 | View | CSV | PDB |
| model_7 | -0.7478 | View | CSV | PDB |
| model_6 | -0.7602 | View | CSV | PDB |
| model_3 | -0.765 | View | CSV | PDB |
| model_11 | -0.765 | View | CSV | PDB |
| model_10 | -0.7723 | View | CSV | PDB |
| model_4 | -0.7859 | View | CSV | PDB |