| eIF2A_Cterm |
| ID: | 1494023018 |
Query Sequence |
Download Alignment We filter this alignment to remove positions that have > 75% gaps before running GREMLIN. |
| Length: | 167 (166) | ||
| Sequences: | 201 (137.9) | ||
| Seq/Len: | 1.211 | ||
| Nf(neff/√len): | 10.7 |
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: 1.211).
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 |
| 133_K | 153_E | 2.546 | 1.00 |
| 143_E | 150_I | 2.033 | 0.97 |
| 69_N | 74_E | 1.835 | 0.94 |
| 148_E | 152_K | 1.724 | 0.91 |
| 129_I | 133_K | 1.695 | 0.90 |
| 126_L | 153_E | 1.648 | 0.89 |
| 64_K | 74_E | 1.626 | 0.88 |
| 132_L | 149_K | 1.580 | 0.86 |
| 126_L | 133_K | 1.571 | 0.85 |
| 26_T | 29_R | 1.507 | 0.82 |
| 135_Q | 140_K | 1.486 | 0.81 |
| 129_I | 153_E | 1.478 | 0.80 |
| 33_L | 143_E | 1.412 | 0.76 |
| 31_P | 34_R | 1.384 | 0.74 |
| 9_T | 17_V | 1.360 | 0.72 |
| 55_Q | 103_N | 1.345 | 0.71 |
| 50_Q | 60_K | 1.343 | 0.71 |
| 52_M | 59_D | 1.342 | 0.70 |
| 117_K | 124_K | 1.316 | 0.68 |
| 28_Y | 31_P | 1.311 | 0.68 |
| 116_D | 124_K | 1.308 | 0.68 |
| 28_Y | 34_R | 1.292 | 0.66 |
| 30_P | 34_R | 1.289 | 0.66 |
| 61_P | 65_T | 1.286 | 0.66 |
| 50_Q | 53_K | 1.269 | 0.64 |
| 68_K | 76_K | 1.265 | 0.64 |
| 15_S | 20_E | 1.262 | 0.64 |
| 29_R | 33_L | 1.260 | 0.63 |
| 121_N | 124_K | 1.258 | 0.63 |
| 154_T | 158_Q | 1.254 | 0.63 |
| 6_K | 12_A | 1.251 | 0.63 |
| 5_A | 19_N | 1.248 | 0.62 |
| 47_E | 105_V | 1.241 | 0.62 |
| 54_P | 60_K | 1.234 | 0.61 |
| 125_K | 149_K | 1.234 | 0.61 |
| 6_K | 13_V | 1.234 | 0.61 |
| 11_Q | 15_S | 1.207 | 0.58 |
| 30_P | 129_I | 1.205 | 0.58 |
| 34_R | 132_L | 1.195 | 0.57 |
| 114_E | 120_K | 1.188 | 0.57 |
| 69_N | 72_K | 1.188 | 0.57 |
| 3_F | 6_K | 1.174 | 0.55 |
| 71_R | 74_E | 1.168 | 0.55 |
| 30_P | 132_L | 1.163 | 0.54 |
| 23_K | 27_A | 1.157 | 0.54 |
| 6_K | 14_P | 1.154 | 0.53 |
| 140_K | 145_N | 1.153 | 0.53 |
| 101_P | 105_V | 1.151 | 0.53 |
| 120_K | 124_K | 1.150 | 0.53 |
| 53_K | 60_K | 1.142 | 0.52 |
| 6_K | 10_Y | 1.140 | 0.52 |
| 118_K | 150_I | 1.138 | 0.52 |
| 1_G | 120_K | 1.129 | 0.51 |
| 92_A | 96_A | 1.125 | 0.50 |
| 83_A | 102_R | 1.120 | 0.50 |
| 3_F | 37_P | 1.120 | 0.50 |
| 117_K | 159_E | 1.117 | 0.50 |
| 129_I | 132_L | 1.113 | 0.49 |
| 48_P | 51_N | 1.113 | 0.49 |
| 36_K | 148_E | 1.105 | 0.49 |
| 63_S | 73_H | 1.099 | 0.48 |
| 129_I | 139_G | 1.098 | 0.48 |
| 15_S | 18_P | 1.096 | 0.48 |
| 119_I | 160_L | 1.092 | 0.47 |
| 61_P | 103_N | 1.089 | 0.47 |
| 101_P | 104_T | 1.087 | 0.47 |
| 9_T | 13_V | 1.087 | 0.47 |
| 29_R | 118_K | 1.084 | 0.46 |
| 152_K | 156_L | 1.076 | 0.46 |
| 64_K | 68_K | 1.075 | 0.46 |
| 13_V | 18_P | 1.058 | 0.44 |
| 38_I | 141_Q | 1.057 | 0.44 |
| 61_P | 104_T | 1.054 | 0.44 |
| 9_T | 16_E | 1.051 | 0.43 |
| 63_S | 66_A | 1.049 | 0.43 |
| 17_V | 20_E | 1.047 | 0.43 |
| 18_P | 123_K | 1.045 | 0.43 |
| 119_I | 159_E | 1.042 | 0.42 |
| 36_K | 136_A | 1.035 | 0.42 |
| 95_P | 101_P | 1.029 | 0.41 |
| 122_L | 138_T | 1.029 | 0.41 |
| 113_P | 116_D | 1.020 | 0.40 |
| 41_S | 138_T | 1.017 | 0.40 |
| 54_P | 59_D | 1.016 | 0.40 |
| 76_K | 81_Q | 1.010 | 0.39 |
| 46_E | 102_R | 1.008 | 0.39 |
| 142_L | 150_I | 1.005 | 0.39 |
| 48_P | 55_Q | 1.001 | 0.39 |
| 11_Q | 16_E | 1.000 | 0.38 |
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 | |
| 4etpB | 1 | 0.3114 | 11.1 | 0.935 | Contact Map |
| 4myzA | 3 | 0.1497 | 6.9 | 0.941 | Contact Map |
| 4cgkA | 2 | 0.2455 | 6.8 | 0.941 | Contact Map |
| 2ld3A | 1 | 0.3054 | 5.6 | 0.944 | Contact Map |
| 1useA | 1 | 0.1617 | 4.9 | 0.945 | Contact Map |
| 4rg9S | 1 | 0.1437 | 4.7 | 0.946 | Contact Map |
| 2l2lA | 1 | 0.2575 | 4.2 | 0.947 | Contact Map |
| 4etpA | 1 | 0.3114 | 4.2 | 0.947 | Contact Map |
| 3u06A | 2 | 0.3353 | 4.1 | 0.947 | Contact Map |
| 4cg4A | 6 | 0 | 3.9 | 0.948 | Contact Map |
Cov = coverage of hit
P(%) = probability
Sequence Conservation (Image Generated using WebLogo v3)