| MeGluR |
| ID: | 1433328943 |
Query Sequence |
Download Alignment We filter this alignment to remove positions that have > 75% gaps before running GREMLIN. |
| Length: | 440 (435) | ||
| Sequences: | 3655 (2572) | ||
| Seq/Len: | 8.402 | ||
| Nf(neff/√len): | 123.3 |
HHblits Results: (2013_03)
Sequences per length for each position, BEFORE the coverage/gap filter was applied
Legend: Dots above the red line, indicates positions where there is > 5 sequences per length (if visible, green bar = 20 seq/len). Point of this graphic is to give you an idea if resubmitting a sub-portion of your sequence might help increase the overall Seq/Len (which after applying the coverage filter is at: 8.402).
Sequences per length for each position, AFTER the coverage/gap filter was applied
Residue pairs sorted by coevolution strength:
Legend: The darker and larger the blue dots, the higher strength in covariance. Below we provide the list of the top [1.5 x length] covarying residues with sequence seperation > 3. The i and j are positions as given in the input sequence.
| i | j | Scaled score | Prob |
| 175_R | 188_S | 3.198 | 1.00 |
| 156_W | 184_C | 2.877 | 1.00 |
| 51_I | 349_A | 2.821 | 1.00 |
| 76_A | 99_V | 2.783 | 1.00 |
| 350_Y | 353_Q | 2.670 | 1.00 |
| 6_D | 64_G | 2.602 | 1.00 |
| 345_V | 349_A | 2.593 | 1.00 |
| 49_E | 53_S | 2.530 | 1.00 |
| 50_E | 342_Y | 2.530 | 1.00 |
| 6_D | 61_I | 2.524 | 1.00 |
| 189_E | 206_V | 2.508 | 1.00 |
| 68_F | 82_S | 2.429 | 1.00 |
| 178_A | 183_I | 2.403 | 1.00 |
| 118_S | 138_D | 2.369 | 1.00 |
| 48_I | 65_Y | 2.357 | 1.00 |
| 386_N | 394_Q | 2.261 | 1.00 |
| 133_R | 402_D | 2.196 | 1.00 |
| 41_L | 45_I | 2.191 | 1.00 |
| 158_G | 187_F | 2.179 | 1.00 |
| 175_R | 179_E | 2.173 | 1.00 |
| 91_V | 107_L | 2.137 | 1.00 |
| 343_L | 389_N | 2.134 | 1.00 |
| 45_I | 49_E | 2.095 | 1.00 |
| 50_E | 346_Y | 2.091 | 1.00 |
| 44_M | 345_V | 1.956 | 1.00 |
| 100_S | 117_S | 1.945 | 1.00 |
| 381_H | 384_H | 1.912 | 1.00 |
| 8_I | 64_G | 1.893 | 1.00 |
| 132_L | 379_L | 1.859 | 1.00 |
| 155_N | 213_R | 1.855 | 1.00 |
| 374_E | 377_Q | 1.839 | 1.00 |
| 358_C | 367_C | 1.833 | 1.00 |
| 6_D | 62_T | 1.820 | 1.00 |
| 350_Y | 354_D | 1.800 | 1.00 |
| 177_E | 180_E | 1.799 | 1.00 |
| 48_I | 345_V | 1.787 | 1.00 |
| 49_E | 303_T | 1.765 | 1.00 |
| 44_M | 92_V | 1.738 | 1.00 |
| 71_C | 75_K | 1.716 | 1.00 |
| 149_I | 242_L | 1.699 | 1.00 |
| 150_E | 181_R | 1.696 | 1.00 |
| 51_I | 346_Y | 1.675 | 1.00 |
| 94_A | 100_S | 1.669 | 1.00 |
| 72_N | 96_G | 1.657 | 1.00 |
| 50_E | 54_S | 1.645 | 1.00 |
| 107_L | 112_W | 1.645 | 1.00 |
| 84_V | 106_L | 1.635 | 1.00 |
| 280_E | 284_N | 1.631 | 1.00 |
| 12_L | 70_T | 1.615 | 1.00 |
| 11_G | 44_M | 1.596 | 1.00 |
| 204_A | 231_I | 1.590 | 1.00 |
| 172_E | 176_E | 1.575 | 1.00 |
| 383_R | 401_G | 1.549 | 1.00 |
| 113_V | 348_I | 1.548 | 1.00 |
| 159_T | 171_I | 1.548 | 1.00 |
| 111_T | 375_A | 1.543 | 1.00 |
| 380_K | 384_H | 1.538 | 1.00 |
| 347_S | 382_L | 1.533 | 1.00 |
| 350_Y | 385_L | 1.531 | 1.00 |
| 379_L | 383_R | 1.525 | 1.00 |
| 204_A | 234_R | 1.517 | 1.00 |
| 114_S | 131_F | 1.513 | 1.00 |
| 108_G | 129_K | 1.510 | 1.00 |
| 349_A | 353_Q | 1.508 | 1.00 |
| 213_R | 239_R | 1.482 | 1.00 |
| 132_L | 383_R | 1.479 | 1.00 |
| 47_A | 345_V | 1.479 | 1.00 |
| 323_S | 326_E | 1.476 | 1.00 |
| 141_Q | 166_Y | 1.465 | 0.99 |
| 52_N | 57_L | 1.464 | 0.99 |
| 42_Q | 45_I | 1.456 | 0.99 |
| 174_F | 178_A | 1.452 | 0.99 |
| 10_G | 83_F | 1.451 | 0.99 |
| 398_N | 402_D | 1.446 | 0.99 |
| 435_I | 440_I | 1.444 | 0.99 |
| 361_L | 364_N | 1.439 | 0.99 |
| 118_S | 166_Y | 1.436 | 0.99 |
| 161_A | 171_I | 1.428 | 0.99 |
| 176_E | 180_E | 1.428 | 0.99 |
| 352_L | 378_L | 1.412 | 0.99 |
| 170_G | 218_F | 1.401 | 0.99 |
| 231_I | 236_I | 1.400 | 0.99 |
| 118_S | 135_M | 1.389 | 0.99 |
| 156_W | 211_T | 1.383 | 0.99 |
| 63_L | 345_V | 1.381 | 0.99 |
| 341_V | 345_V | 1.373 | 0.99 |
| 436_N | 439_K | 1.370 | 0.99 |
| 168_R | 190_L | 1.363 | 0.99 |
| 122_L | 131_F | 1.362 | 0.99 |
| 46_F | 50_E | 1.350 | 0.99 |
| 8_I | 66_R | 1.343 | 0.99 |
| 163_D | 168_R | 1.340 | 0.99 |
| 85_A | 110_C | 1.331 | 0.99 |
| 51_I | 345_V | 1.327 | 0.99 |
| 179_E | 184_C | 1.327 | 0.99 |
| 123_S | 133_R | 1.325 | 0.99 |
| 158_G | 189_E | 1.320 | 0.99 |
| 207_I | 215_I | 1.319 | 0.99 |
| 354_D | 381_H | 1.316 | 0.99 |
| 279_R | 283_R | 1.316 | 0.99 |
| 355_I | 381_H | 1.309 | 0.99 |
| 205_S | 209_N | 1.309 | 0.99 |
| 161_A | 190_L | 1.307 | 0.99 |
| 154_W | 213_R | 1.304 | 0.98 |
| 143_T | 177_E | 1.304 | 0.98 |
| 164_D | 167_G | 1.296 | 0.98 |
| 92_V | 113_V | 1.295 | 0.98 |
| 230_E | 233_K | 1.295 | 0.98 |
| 11_G | 48_I | 1.294 | 0.98 |
| 63_L | 349_A | 1.285 | 0.98 |
| 43_A | 341_V | 1.272 | 0.98 |
| 94_A | 112_W | 1.269 | 0.98 |
| 149_I | 154_W | 1.268 | 0.98 |
| 132_L | 397_F | 1.268 | 0.98 |
| 68_F | 79_A | 1.257 | 0.98 |
| 148_I | 266_I | 1.252 | 0.98 |
| 204_A | 236_I | 1.249 | 0.98 |
| 204_A | 230_E | 1.249 | 0.98 |
| 92_V | 348_I | 1.249 | 0.98 |
| 114_S | 117_S | 1.239 | 0.98 |
| 156_W | 186_D | 1.239 | 0.98 |
| 377_Q | 380_K | 1.235 | 0.98 |
| 154_W | 214_V | 1.230 | 0.98 |
| 48_I | 52_N | 1.221 | 0.97 |
| 313_G | 318_F | 1.217 | 0.97 |
| 80_T | 84_V | 1.214 | 0.97 |
| 5_G | 61_I | 1.212 | 0.97 |
| 347_S | 387_F | 1.210 | 0.97 |
| 77_L | 106_L | 1.205 | 0.97 |
| 7_I | 10_G | 1.204 | 0.97 |
| 138_D | 141_Q | 1.203 | 0.97 |
| 133_R | 167_G | 1.198 | 0.97 |
| 84_V | 107_L | 1.195 | 0.97 |
| 186_D | 212_A | 1.191 | 0.97 |
| 230_E | 234_R | 1.188 | 0.97 |
| 135_M | 340_N | 1.187 | 0.97 |
| 343_L | 391_M | 1.185 | 0.97 |
| 359_K | 362_F | 1.181 | 0.97 |
| 105_N | 109_L | 1.178 | 0.97 |
| 47_A | 349_A | 1.176 | 0.97 |
| 386_N | 396_D | 1.176 | 0.97 |
| 79_A | 82_S | 1.175 | 0.97 |
| 163_D | 192_S | 1.169 | 0.96 |
| 51_I | 57_L | 1.169 | 0.96 |
| 313_G | 320_L | 1.164 | 0.96 |
| 158_G | 212_A | 1.163 | 0.96 |
| 275_I | 278_F | 1.158 | 0.96 |
| 388_T | 394_Q | 1.147 | 0.96 |
| 118_S | 141_Q | 1.143 | 0.96 |
| 123_S | 402_D | 1.142 | 0.96 |
| 94_A | 103_V | 1.142 | 0.96 |
| 70_T | 76_A | 1.142 | 0.96 |
| 347_S | 397_F | 1.134 | 0.96 |
| 159_T | 188_S | 1.134 | 0.96 |
| 351_A | 382_L | 1.130 | 0.95 |
| 50_E | 284_N | 1.130 | 0.95 |
| 38_F | 41_L | 1.127 | 0.95 |
| 14_P | 70_T | 1.127 | 0.95 |
| 408_S | 424_E | 1.126 | 0.95 |
| 191_I | 219_S | 1.125 | 0.95 |
| 359_K | 363_A | 1.125 | 0.95 |
| 142_A | 146_A | 1.123 | 0.95 |
| 138_D | 166_Y | 1.117 | 0.95 |
| 9_L | 348_I | 1.116 | 0.95 |
| 117_S | 122_L | 1.114 | 0.95 |
| 346_Y | 387_F | 1.098 | 0.94 |
| 58_L | 63_L | 1.096 | 0.94 |
| 306_C | 322_C | 1.090 | 0.94 |
| 424_E | 427_Y | 1.090 | 0.94 |
| 44_M | 341_V | 1.086 | 0.94 |
| 70_T | 99_V | 1.084 | 0.94 |
| 92_V | 344_A | 1.081 | 0.94 |
| 41_L | 67_I | 1.080 | 0.94 |
| 387_F | 395_V | 1.079 | 0.94 |
| 12_L | 94_A | 1.077 | 0.94 |
| 166_Y | 245_E | 1.076 | 0.94 |
| 3_K | 6_D | 1.076 | 0.94 |
| 354_D | 385_L | 1.076 | 0.94 |
| 19_E | 23_S | 1.075 | 0.94 |
| 360_G | 363_A | 1.074 | 0.93 |
| 44_M | 65_Y | 1.067 | 0.93 |
| 146_A | 174_F | 1.067 | 0.93 |
| 93_G | 97_S | 1.060 | 0.93 |
| 293_N | 296_L | 1.053 | 0.93 |
| 433_L | 436_N | 1.049 | 0.92 |
| 159_T | 174_F | 1.048 | 0.92 |
| 362_F | 368_A | 1.048 | 0.92 |
| 214_V | 242_L | 1.047 | 0.92 |
| 346_Y | 350_Y | 1.046 | 0.92 |
| 130_S | 376_W | 1.044 | 0.92 |
| 12_L | 103_V | 1.044 | 0.92 |
| 132_L | 382_L | 1.040 | 0.92 |
| 359_K | 364_N | 1.036 | 0.92 |
| 120_R | 139_E | 1.035 | 0.92 |
| 423_E | 426_G | 1.035 | 0.92 |
| 47_A | 346_Y | 1.030 | 0.92 |
| 381_H | 385_L | 1.027 | 0.91 |
| 52_N | 62_T | 1.027 | 0.91 |
| 437_E | 440_I | 1.021 | 0.91 |
| 75_K | 78_E | 1.021 | 0.91 |
| 100_S | 104_A | 1.017 | 0.91 |
| 145_M | 268_F | 1.016 | 0.91 |
| 288_K | 291_N | 1.016 | 0.91 |
| 82_S | 86_Q | 1.015 | 0.91 |
| 19_E | 22_E | 1.014 | 0.91 |
| 75_K | 79_A | 1.013 | 0.91 |
| 376_W | 380_K | 1.008 | 0.90 |
| 12_L | 80_T | 1.008 | 0.90 |
| 389_N | 392_G | 1.006 | 0.90 |
| 4_K | 8_I | 1.006 | 0.90 |
| 432_R | 438_S | 1.003 | 0.90 |
| 345_V | 351_A | 1.003 | 0.90 |
| 287_V | 300_W | 1.000 | 0.90 |
Prob = P(contact | scaled_score, seq/len).
Scaled Score = (raw_score/average(raw_scores)).
- Text file of contact predictions (all 3L/2 predictions)
- Generate restraints for ROSETTA Structure Modeling
- Import to GREMLIN BETA - features includes ability to upload PDB and latest P(contact) calculation based on eLife 2015 fitting to PDB data.
GREMLIN results overlayed on top 10 PDB hits:
Legend: Blue filled circles are GREMLIN results (Scaled Score > 1). The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on 10 HHsearch results which uses the overall probability and per-position alignment confidence. Inter oligomeric contacts in the pdb are in shades of red.
| PDB | M | Cov | P(%) | HHΔ | |
| 2e4uA | 2 | 0.9568 | 100 | 0.219 | Contact Map |
| 3mq4A | 1 | 0.8318 | 100 | 0.238 | Contact Map |
| 3sm9A | 1 | 0.9523 | 100 | 0.252 | Contact Map |
| 3ks9A | 2 | 0.9545 | 100 | 0.264 | Contact Map |
| 1dp4A | 2 | 0.85 | 100 | 0.348 | Contact Map |
| 1jdpA | 2 | 0.8205 | 100 | 0.36 | Contact Map |
| 4ms4B | 1 | 0.8523 | 100 | 0.379 | Contact Map |
| 4ms4A | 1 | 0.8273 | 100 | 0.405 | Contact Map |
| 3h6gA | 2 | 0.8409 | 100 | 0.407 | Contact Map |
| 4gpaA | 1 | 0.825 | 100 | 0.412 | Contact Map |
Cov = coverage of hit
P(%) = probability
Sequence Conservation (Image Generated using WebLogo v3)