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OPENSEQ.org

AtfA alignment

ID: 1512634646 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 458 (424)
Sequences: 19932 (16502.7)
Seq/Len: 47.009
Nf(neff/√len): 801.4

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: 47.009).

Sequences per length for each position, AFTER the coverage/gap filter was applied
Legend: If visible, the positions blocked in grey are regions that have > 75% gaps and were automatically trimmed and excluded in the GREMLIN analysis.

Trim query Generate MSA using: Filter MSA GREMLIN
Start: End: E-value: Iterations: Coverage: Remove gaps: Prior:

GREMLIN Results:
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.

ij Scaled score Prob
283_P309_N3.4551.00
28_L124_R3.3421.00
61_K70_D3.2051.00
315_D323_I2.8871.00
266_S310_L2.8051.00
250_A260_V2.7241.00
208_D327_S2.7191.00
272_Y436_H2.6251.00
317_P444_F2.5591.00
253_L318_L2.5441.00
44_V48_R2.4631.00
420_L434_L2.4031.00
54_P147_K2.3681.00
268_A440_E2.3461.00
50_S156_K2.3041.00
30_Q124_R2.3021.00
131_I136_V2.3011.00
263_A320_R2.2461.00
48_R53_I2.1891.00
201_L334_R2.1501.00
316_D319_Q2.1131.00
61_K109_K2.0871.00
438_E442_Q2.0821.00
51_K148_S2.0751.00
55_V147_K2.0741.00
283_P311_A2.0721.00
47_I114_C2.0511.00
259_D325_R2.0371.00
285_I307_L2.0311.00
239_Q418_V2.0121.00
51_K151_H2.0061.00
237_A431_Q1.9611.00
120_I123_N1.9361.00
50_S53_I1.9081.00
50_S151_H1.9081.00
43_L148_S1.9041.00
265_C407_I1.8821.00
34_N42_D1.8661.00
409_M418_V1.8561.00
100_E115_N1.8521.00
265_C369_F1.8151.00
326_R330_N1.8121.00
28_L126_A1.8041.00
267_G320_R1.7951.00
146_E297_S1.7901.00
203_Q207_K1.7561.00
422_A430_M1.7491.00
248_N252_S1.7341.00
144_L299_V1.7331.00
240_S415_K1.7311.00
263_A324_I1.7281.00
253_L322_E1.7181.00
235_R424_R1.7101.00
420_L430_M1.7091.00
202_S337_R1.7081.00
407_I420_L1.7051.00
240_S417_E1.6961.00
57_P60_N1.6861.00
235_R429_R1.6821.00
247_R411_S1.6811.00
30_Q389_K1.6601.00
82_I115_N1.6571.00
92_E95_I1.6481.00
267_G440_E1.6451.00
202_S345_N1.6321.00
201_L336_K1.6311.00
204_T331_S1.6101.00
264_V441_I1.6071.00
63_N68_D1.6031.00
270_R312_T1.6001.00
32_P123_N1.5891.00
310_L324_I1.5861.00
202_S206_F1.5821.00
255_V321_L1.5701.00
30_Q391_D1.5611.00
83_A118_E1.5441.00
113_T130_K1.5301.00
222_P428_P1.5291.00
431_Q435_T1.5241.00
118_E125_F1.5201.00
249_I253_L1.5121.00
146_E150_S1.5061.00
199_Q203_Q1.5051.00
246_F257_I1.4981.00
114_C127_M1.4971.00
16_K64_G1.4911.00
111_L135_M1.4741.00
206_F345_N1.4661.00
26_L128_Y1.4641.00
26_L126_A1.4551.00
81_H118_E1.4511.00
42_D156_K1.4401.00
257_I416_L1.4381.00
45_N156_K1.4321.00
266_S286_A1.4311.00
96_Y117_I1.4311.00
432_N436_H1.4161.00
4_L65_L1.4141.00
246_F260_V1.4050.99
119_G126_A1.4050.99
42_D157_S1.3980.99
328_V332_K1.3910.99
62_L134_A1.3880.99
56_P178_G1.3870.99
95_I99_Q1.3850.99
287_M367_Q1.3800.99
100_E103_T1.3790.99
204_T208_D1.3700.99
439_E443_L1.3680.99
245_R442_Q1.3670.99
100_E130_K1.3600.99
199_Q202_S1.3540.99
140_A299_V1.3490.99
203_Q206_F1.3410.99
62_L135_M1.3410.99
40_I44_V1.3350.99
272_Y433_L1.3340.99
208_D330_N1.3340.99
28_L391_D1.3310.99
117_I128_Y1.3290.99
34_N152_D1.3290.99
43_L127_M1.3170.99
268_A437_L1.3160.99
249_I445_E1.3140.99
319_Q322_E1.3090.99
262_L286_A1.3020.99
323_I327_S1.2920.99
40_I81_H1.2800.99
245_R248_N1.2700.99
239_Q438_E1.2610.99
40_I116_I1.2610.99
245_R445_E1.2580.99
258_N288_V1.2560.99
136_V140_A1.2550.99
24_G130_K1.2540.99
435_T438_E1.2540.99
42_D152_D1.2540.99
236_F421_I1.2500.99
341_D344_L1.2490.99
238_A419_G1.2440.98
93_L126_A1.2440.98
233_S425_N1.2420.98
447_V450_K1.2380.98
239_Q434_L1.2330.98
298_D302_R1.2250.98
318_L449_A1.2140.98
43_L152_D1.2120.98
262_L328_V1.2110.98
33_D43_L1.2090.98
339_T343_I1.2050.98
271_A436_H1.2000.98
133_H138_G1.1980.98
139_V291_S1.1940.98
151_H156_K1.1930.98
112_W129_F1.1920.98
46_D151_H1.1890.98
315_D319_Q1.1890.98
237_A434_L1.1890.98
255_V259_D1.1860.98
54_P151_H1.1830.98
264_V444_F1.1810.98
33_D125_F1.1750.98
231_S425_N1.1750.98
245_R446_G1.1720.98
307_L342_Q1.1700.97
114_C129_F1.1650.97
264_V437_L1.1640.97
311_A315_D1.1620.97
136_V141_G1.1590.97
427_L430_M1.1570.97
261_V437_L1.1570.97
255_V325_R1.1560.97
250_A255_V1.1560.97
261_V416_L1.1530.97
45_N48_R1.1500.97
268_A436_H1.1480.97
244_D248_N1.1350.97
237_A429_R1.1350.97
261_V409_M1.1320.97
231_S423_C1.1310.97
22_H130_K1.1310.97
325_R329_Q1.1290.97
53_I72_E1.1260.97
347_S352_G1.1250.97
235_R422_A1.1230.97
162_W165_E1.1110.96
186_G189_S1.1100.96
149_L154_T1.1090.96
40_I118_E1.1060.96
34_N41_Q1.1050.96
175_P178_G1.1050.96
265_C437_L1.1030.96
11_F301_N1.1000.96
98_S102_S1.0990.96
372_V375_N1.0960.96
45_N50_S1.0950.96
44_V81_H1.0950.96
406_N421_I1.0940.96
341_D345_N1.0930.96
270_R273_L1.0930.96
356_L359_I1.0910.96
61_K110_P1.0890.96
265_C371_L1.0860.96
439_E442_Q1.0850.96
218_S221_A1.0810.95
268_A272_Y1.0810.95
5_H8_D1.0800.95
116_I125_F1.0760.95
259_D329_Q1.0760.95
259_D328_V1.0740.95
120_I124_R1.0740.95
65_L69_E1.0700.95
94_L98_S1.0640.95
136_V144_L1.0620.95
56_P59_N1.0600.95
4_L62_L1.0580.95
155_E158_I1.0510.94
255_V260_V1.0510.94
96_Y115_N1.0510.94
52_S112_W1.0470.94
167_K172_L1.0430.94
236_F419_G1.0400.94
97_I128_Y1.0400.94
51_K144_L1.0360.94
42_D46_D1.0350.94
179_K182_K1.0340.94
48_R74_D1.0300.94
174_E178_G1.0280.94
249_I252_S1.0260.94
249_I260_V1.0220.93
290_A306_I1.0220.93
90_I94_L1.0150.93
312_T320_R1.0140.93
46_D152_D1.0130.93
312_T315_D1.0070.93
80_R115_N1.0070.93
209_I213_P1.0040.93
47_I148_S1.0020.92
7_I10_I1.0010.92
89_R92_E1.0010.92
66_F69_E1.0000.92
Legend: Only predictions with Scaled Score > 1 are listed. For all 3L/2 predictions, click on one of the links below.
Prob = P(contact | scaled_score, seq/len).
Scaled Score = (raw_score/average(raw_scores)).
NEW Features
HHsearch Results: (06Aug15)
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  
2vsqA10.88211000.142Contact Map
2jgpA10.88431000.145Contact Map
1l5aA30.87771000.165Contact Map
4jn3A20.88431000.169Contact Map
4znmA201000.172Contact Map
4tx3B10.89521000.172Contact Map
2xhgA10.90831000.214Contact Map
4hvmA40.811000.217Contact Map
1q9jA20.78821000.263Contact Map
3fotA10.90391000.352Contact Map
M = number of chains, if homo-oligomer
Cov = coverage of hit
P(%) = probability

Sequence Conservation (Image Generated using WebLogo v3)
Legend: Color is used to show Hydrophobicity (Blue: Hydrophilic, Green: Neutral and Black: Hydrophobic). Amount of gaps is represented by width.

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