| HET-Sc |
| ID: | 1492786593 |
Query Sequence |
Download Alignment We filter this alignment to remove positions that have > 75% gaps before running GREMLIN. |
| Length: | 178 (177) | ||
| Sequences: | 522 (434.6) | ||
| Seq/Len: | 2.949 | ||
| Nf(neff/√len): | 32.7 |
HHblits Results: (2016_02)
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: 2.949).
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 |
| 25_F | 163_V | 2.196 | 1.00 |
| 48_A | 167_V | 2.163 | 1.00 |
| 25_F | 167_V | 2.148 | 1.00 |
| 5_F | 10_G | 2.079 | 1.00 |
| 47_I | 83_I | 2.060 | 1.00 |
| 37_D | 153_G | 2.046 | 1.00 |
| 3_E | 6_E | 1.991 | 1.00 |
| 19_N | 23_A | 1.938 | 0.99 |
| 56_G | 60_Q | 1.918 | 0.99 |
| 18_F | 56_G | 1.912 | 0.99 |
| 35_G | 137_Q | 1.894 | 0.99 |
| 51_R | 171_E | 1.822 | 0.99 |
| 101_Y | 152_D | 1.821 | 0.99 |
| 51_R | 168_D | 1.754 | 0.99 |
| 4_P | 8_V | 1.663 | 0.98 |
| 6_E | 10_G | 1.641 | 0.98 |
| 26_E | 154_K | 1.641 | 0.98 |
| 44_R | 165_G | 1.567 | 0.97 |
| 13_G | 16_G | 1.498 | 0.95 |
| 159_I | 162_Q | 1.498 | 0.95 |
| 44_R | 162_Q | 1.489 | 0.95 |
| 98_S | 103_L | 1.466 | 0.95 |
| 56_G | 61_I | 1.466 | 0.95 |
| 14_V | 17_L | 1.439 | 0.94 |
| 34_F | 37_D | 1.433 | 0.94 |
| 23_A | 160_V | 1.432 | 0.94 |
| 80_A | 174_F | 1.403 | 0.93 |
| 28_V | 73_I | 1.388 | 0.92 |
| 52_L | 55_W | 1.376 | 0.92 |
| 91_F | 174_F | 1.363 | 0.92 |
| 15_A | 141_S | 1.344 | 0.91 |
| 45_L | 163_V | 1.341 | 0.91 |
| 100_R | 147_A | 1.340 | 0.91 |
| 141_S | 145_K | 1.335 | 0.90 |
| 6_E | 9_A | 1.327 | 0.90 |
| 97_T | 103_L | 1.324 | 0.90 |
| 40_R | 43_L | 1.294 | 0.88 |
| 45_L | 74_D | 1.292 | 0.88 |
| 28_V | 144_K | 1.255 | 0.86 |
| 48_A | 164_A | 1.246 | 0.86 |
| 51_R | 56_G | 1.243 | 0.86 |
| 153_G | 157_E | 1.240 | 0.85 |
| 93_S | 97_T | 1.231 | 0.85 |
| 28_V | 142_L | 1.222 | 0.84 |
| 9_A | 14_V | 1.216 | 0.84 |
| 37_D | 80_A | 1.210 | 0.83 |
| 60_Q | 170_L | 1.208 | 0.83 |
| 87_I | 163_V | 1.196 | 0.83 |
| 3_E | 10_G | 1.192 | 0.82 |
| 55_W | 60_Q | 1.183 | 0.82 |
| 33_H | 145_K | 1.180 | 0.81 |
| 25_F | 45_L | 1.169 | 0.81 |
| 16_G | 20_N | 1.160 | 0.80 |
| 43_L | 52_L | 1.160 | 0.80 |
| 59_V | 83_I | 1.156 | 0.79 |
| 55_W | 170_L | 1.148 | 0.79 |
| 4_P | 7_I | 1.134 | 0.78 |
| 41_C | 77_V | 1.118 | 0.76 |
| 5_F | 9_A | 1.116 | 0.76 |
| 97_T | 102_E | 1.115 | 0.76 |
| 10_G | 13_G | 1.112 | 0.76 |
| 170_L | 175_P | 1.108 | 0.75 |
| 34_F | 175_P | 1.104 | 0.75 |
| 26_E | 149_A | 1.104 | 0.75 |
| 97_T | 155_S | 1.103 | 0.75 |
| 17_L | 145_K | 1.094 | 0.74 |
| 2_S | 6_E | 1.093 | 0.74 |
| 31_G | 36_R | 1.091 | 0.74 |
| 100_R | 157_E | 1.089 | 0.74 |
| 171_E | 174_F | 1.085 | 0.73 |
| 40_R | 86_E | 1.075 | 0.72 |
| 146_T | 149_A | 1.068 | 0.71 |
| 161_D | 165_G | 1.061 | 0.71 |
| 152_D | 163_V | 1.056 | 0.70 |
| 35_G | 133_V | 1.052 | 0.70 |
| 145_K | 160_V | 1.051 | 0.70 |
| 138_K | 144_K | 1.048 | 0.69 |
| 33_H | 37_D | 1.047 | 0.69 |
| 169_E | 172_K | 1.047 | 0.69 |
| 5_F | 8_V | 1.045 | 0.69 |
| 48_A | 169_E | 1.045 | 0.69 |
| 4_P | 31_G | 1.043 | 0.69 |
| 24_C | 29_Q | 1.037 | 0.68 |
| 38_Y | 64_D | 1.031 | 0.68 |
| 128_R | 131_D | 1.026 | 0.67 |
| 55_W | 59_V | 1.026 | 0.67 |
| 52_L | 92_E | 1.025 | 0.67 |
| 156_L | 159_I | 1.012 | 0.65 |
| 80_A | 175_P | 1.004 | 0.65 |
| 12_L | 138_K | 1.004 | 0.65 |
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 | |
| 2wvqA | 2 | 0.9551 | 100 | 0.138 | Contact Map |
| 4btfA | 1 | 0.5618 | 60.9 | 0.893 | Contact Map |
| 2msvA | 1 | 0.6685 | 18 | 0.921 | Contact Map |
| 3he4A | 4 | 0.191 | 7.9 | 0.932 | Contact Map |
| 3brvA | 2 | 0.1461 | 4.5 | 0.94 | Contact Map |
| 3fx7A | 2 | 0.382 | 4.1 | 0.941 | Contact Map |
| 2uytA | 1 | 0.2865 | 3.8 | 0.941 | Contact Map |
| 3axjA | 1 | 0.4944 | 3.8 | 0.942 | Contact Map |
| 4abxA | 4 | 0.6573 | 3.5 | 0.943 | Contact Map |
| 1xlyA | 2 | 0.4045 | 3.5 | 0.943 | Contact Map |
Cov = coverage of hit
P(%) = probability
Sequence Conservation (Image Generated using WebLogo v3)