| CysLT2 |
| ID: | 1446454769 |
Query Sequence |
Download Alignment We filter this alignment to remove positions that have > 75% gaps before running GREMLIN. |
| Length: | 346 (292) | ||
| Sequences: | 18504 (9945.8) | ||
| Seq/Len: | 63.370 | ||
| Nf(neff/√len): | 582.0 |
HHblits Results: (2015_06)
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: 63.370).
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 |
| 52_G | 88_I | 4.789 | 1.00 |
| 79_N | 163_W | 3.966 | 1.00 |
| 219_I | 223_L | 3.340 | 1.00 |
| 79_N | 128_F | 2.825 | 1.00 |
| 131_V | 162_I | 2.743 | 1.00 |
| 137_F | 142_H | 2.640 | 1.00 |
| 111_C | 187_C | 2.561 | 1.00 |
| 153_R | 157_I | 2.476 | 1.00 |
| 60_I | 78_L | 2.419 | 1.00 |
| 109_L | 113_I | 2.394 | 1.00 |
| 108_D | 112_R | 2.332 | 1.00 |
| 222_L | 226_R | 2.158 | 1.00 |
| 120_V | 167_M | 2.148 | 1.00 |
| 142_H | 145_R | 2.140 | 1.00 |
| 83_S | 124_S | 2.088 | 1.00 |
| 63_F | 78_L | 2.072 | 1.00 |
| 137_F | 141_V | 2.047 | 1.00 |
| 265_T | 269_V | 2.009 | 1.00 |
| 104_W | 107_G | 1.993 | 1.00 |
| 69_K | 74_N | 1.974 | 1.00 |
| 137_F | 223_L | 1.954 | 1.00 |
| 116_Y | 120_V | 1.947 | 1.00 |
| 157_I | 161_I | 1.923 | 1.00 |
| 57_G | 61_Y | 1.906 | 1.00 |
| 75_V | 159_C | 1.889 | 1.00 |
| 131_V | 158_L | 1.844 | 1.00 |
| 223_L | 226_R | 1.823 | 1.00 |
| 141_V | 227_V | 1.778 | 1.00 |
| 260_F | 294_A | 1.776 | 1.00 |
| 86_L | 121_N | 1.749 | 1.00 |
| 216_T | 220_C | 1.746 | 1.00 |
| 39_E | 43_I | 1.736 | 1.00 |
| 223_L | 227_V | 1.715 | 1.00 |
| 53_V | 85_L | 1.709 | 1.00 |
| 124_S | 166_I | 1.703 | 1.00 |
| 66_P | 315_R | 1.680 | 1.00 |
| 248_T | 308_A | 1.676 | 1.00 |
| 76_F | 155_A | 1.670 | 1.00 |
| 226_R | 230_K | 1.659 | 1.00 |
| 255_I | 304_L | 1.654 | 1.00 |
| 52_G | 299_C | 1.649 | 1.00 |
| 79_N | 159_C | 1.642 | 1.00 |
| 78_L | 82_I | 1.625 | 1.00 |
| 158_L | 162_I | 1.618 | 1.00 |
| 137_F | 220_C | 1.612 | 1.00 |
| 130_T | 216_T | 1.612 | 1.00 |
| 225_I | 229_L | 1.602 | 1.00 |
| 156_W | 160_G | 1.601 | 1.00 |
| 128_F | 159_C | 1.582 | 1.00 |
| 55_G | 299_C | 1.567 | 1.00 |
| 134_V | 220_C | 1.542 | 1.00 |
| 286_A | 290_T | 1.514 | 1.00 |
| 214_F | 257_F | 1.492 | 1.00 |
| 75_V | 156_W | 1.491 | 1.00 |
| 84_D | 125_S | 1.489 | 1.00 |
| 145_R | 148_H | 1.477 | 1.00 |
| 84_D | 301_N | 1.475 | 1.00 |
| 57_G | 85_L | 1.449 | 1.00 |
| 135_V | 150_T | 1.447 | 1.00 |
| 138_L | 149_V | 1.424 | 1.00 |
| 92_P | 95_A | 1.403 | 0.99 |
| 315_R | 318_S | 1.393 | 0.99 |
| 151_S | 154_S | 1.380 | 0.99 |
| 242_H | 246_L | 1.372 | 0.99 |
| 83_S | 125_S | 1.361 | 0.99 |
| 153_R | 156_W | 1.339 | 0.99 |
| 54_L | 57_G | 1.334 | 0.99 |
| 145_R | 149_V | 1.327 | 0.99 |
| 128_F | 163_W | 1.320 | 0.99 |
| 261_L | 265_T | 1.311 | 0.99 |
| 116_Y | 174_L | 1.310 | 0.99 |
| 152_I | 156_W | 1.309 | 0.99 |
| 107_G | 110_A | 1.308 | 0.99 |
| 139_A | 143_P | 1.305 | 0.99 |
| 166_I | 170_S | 1.295 | 0.99 |
| 124_S | 128_F | 1.294 | 0.99 |
| 64_L | 78_L | 1.293 | 0.99 |
| 76_F | 132_L | 1.289 | 0.99 |
| 218_S | 222_L | 1.282 | 0.99 |
| 81_A | 84_D | 1.276 | 0.99 |
| 157_I | 160_G | 1.275 | 0.99 |
| 80_L | 84_D | 1.271 | 0.99 |
| 282_R | 286_A | 1.270 | 0.99 |
| 120_V | 170_S | 1.268 | 0.99 |
| 204_I | 208_V | 1.267 | 0.99 |
| 301_N | 305_Y | 1.264 | 0.99 |
| 61_Y | 65_Q | 1.249 | 0.99 |
| 133_S | 221_Y | 1.247 | 0.99 |
| 60_I | 81_A | 1.237 | 0.98 |
| 60_I | 85_L | 1.236 | 0.98 |
| 130_T | 220_C | 1.234 | 0.98 |
| 60_I | 82_I | 1.232 | 0.98 |
| 124_S | 163_W | 1.220 | 0.98 |
| 139_A | 144_F | 1.214 | 0.98 |
| 42_P | 46_L | 1.212 | 0.98 |
| 135_V | 139_A | 1.200 | 0.98 |
| 129_L | 217_L | 1.200 | 0.98 |
| 140_M | 144_F | 1.194 | 0.98 |
| 58_L | 62_V | 1.192 | 0.98 |
| 124_S | 162_I | 1.191 | 0.98 |
| 126_I | 256_F | 1.172 | 0.98 |
| 126_I | 130_T | 1.168 | 0.97 |
| 127_Y | 209_G | 1.163 | 0.97 |
| 225_I | 246_L | 1.158 | 0.97 |
| 138_L | 142_H | 1.158 | 0.97 |
| 296_A | 300_F | 1.142 | 0.97 |
| 51_W | 299_C | 1.130 | 0.97 |
| 177_G | 190_L | 1.129 | 0.97 |
| 49_F | 95_A | 1.127 | 0.97 |
| 250_I | 254_I | 1.108 | 0.96 |
| 255_I | 300_F | 1.099 | 0.96 |
| 227_V | 230_K | 1.090 | 0.96 |
| 53_V | 88_I | 1.089 | 0.96 |
| 116_Y | 167_M | 1.080 | 0.95 |
| 123_Y | 209_G | 1.077 | 0.95 |
| 61_Y | 319_A | 1.076 | 0.95 |
| 168_A | 172_M | 1.076 | 0.95 |
| 127_Y | 166_I | 1.069 | 0.95 |
| 123_Y | 166_I | 1.067 | 0.95 |
| 75_V | 152_I | 1.065 | 0.95 |
| 66_P | 318_S | 1.064 | 0.95 |
| 119_Y | 170_S | 1.063 | 0.95 |
| 162_I | 166_I | 1.063 | 0.95 |
| 146_L | 150_T | 1.061 | 0.95 |
| 257_F | 261_L | 1.061 | 0.95 |
| 273_T | 279_C | 1.061 | 0.95 |
| 203_Y | 272_T | 1.060 | 0.95 |
| 83_S | 121_N | 1.058 | 0.95 |
| 285_K | 289_I | 1.054 | 0.95 |
| 127_Y | 162_I | 1.049 | 0.94 |
| 42_P | 95_A | 1.041 | 0.94 |
| 59_S | 63_F | 1.041 | 0.94 |
| 312_F | 316_L | 1.037 | 0.94 |
| 154_S | 157_I | 1.035 | 0.94 |
| 130_T | 217_L | 1.035 | 0.94 |
| 59_S | 302_P | 1.033 | 0.94 |
| 94_R | 97_Y | 1.033 | 0.94 |
| 59_S | 306_Y | 1.032 | 0.94 |
| 93_F | 97_Y | 1.029 | 0.94 |
| 266_L | 290_T | 1.024 | 0.93 |
| 87_F | 298_A | 1.023 | 0.93 |
| 93_F | 110_A | 1.016 | 0.93 |
| 245_A | 248_T | 1.014 | 0.93 |
| 178_S | 185_T | 1.013 | 0.93 |
| 251_I | 308_A | 1.011 | 0.93 |
| 82_I | 86_L | 1.011 | 0.93 |
| 133_S | 220_C | 1.009 | 0.93 |
| 71_T | 74_N | 1.007 | 0.93 |
| 127_Y | 165_L | 1.004 | 0.93 |
| 194_K | 197_K | 1.001 | 0.92 |
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 | |
| 4pxzA | 1 | 0.8035 | 100 | 0.292 | Contact Map |
| 2rh1A | 1 | 0.815 | 100 | 0.294 | Contact Map |
| 3vw7A | 1 | 0.8121 | 100 | 0.3 | Contact Map |
| 3uonA | 1 | 0.8006 | 100 | 0.312 | Contact Map |
| 3oduA | 2 | 0.8642 | 100 | 0.313 | Contact Map |
| 4iarA | 1 | 0.8035 | 100 | 0.317 | Contact Map |
| 3pblA | 2 | 0.7803 | 100 | 0.317 | Contact Map |
| 4grvA | 1 | 0.8266 | 100 | 0.322 | Contact Map |
| 3emlA | 1 | 0.8208 | 100 | 0.327 | Contact Map |
| 2z73A | 2 | 0.9422 | 100 | 0.331 | Contact Map |
Cov = coverage of hit
P(%) = probability
Sequence Conservation (Image Generated using WebLogo v3)