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OPENSEQ.org

yidc

ID: 1446043651 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 548 (545)
Sequences: 1550 (1076.3)
Seq/Len: 2.844
Nf(neff/√len): 46.1

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: 2.844).

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
407_E410_A5.5781.00
410_A414_A4.1581.00
351_V360_I4.1541.00
391_Q394_R3.7811.00
64_K85_P3.7551.00
389_K392_A3.7081.00
356_F451_F3.6931.00
342_K346_W3.3731.00
386_L417_V3.2851.00
343_L364_I3.2621.00
394_R398_G3.1981.00
393_M404_I2.9571.00
472_G503_T2.9331.00
391_Q395_E2.8151.00
82_A309_V2.7591.00
64_K69_D2.6541.00
65_T167_L2.6461.00
347_I360_I2.5541.00
70_L82_A2.5361.00
347_I364_I2.5311.00
162_T179_N2.5091.00
369_M432_I2.3681.00
356_F452_A2.2971.00
470_L518_I2.2951.00
70_L167_L2.2671.00
403_R407_E2.2481.00
347_I351_V2.2391.00
394_R404_I2.2191.00
69_D83_L2.1901.00
166_V177_N2.1681.00
387_Q391_Q2.1631.00
261_A327_T2.1491.00
467_L515_L2.1351.00
403_R406_Q2.1161.00
150_P164_T2.1041.00
356_F360_I2.0691.00
179_N302_A2.0671.00
72_I151_M2.0651.00
7_L11_A2.0641.00
402_Q406_Q2.0471.00
392_A396_R2.0441.00
346_W350_F2.0151.00
66_D170_G2.0061.00
70_L79_V1.9020.99
152_T162_T1.8930.99
474_T521_N1.8920.99
381_A384_R1.8890.99
526_I530_L1.8830.99
369_M428_I1.8750.99
356_F359_I1.8170.99
173_A320_V1.7790.99
62_S69_D1.7680.99
404_I408_M1.7660.99
360_I363_F1.7640.99
177_N304_N1.7520.99
397_L403_R1.7490.99
71_T81_Q1.7440.98
364_I368_I1.7230.98
469_I473_V1.7090.98
360_I364_I1.6860.98
470_L474_T1.6740.98
448_Q460_A1.6730.98
160_T181_Q1.6650.98
60_L71_T1.6590.98
340_L365_V1.6340.97
9_V13_L1.6280.97
62_S71_T1.6190.97
344_L357_S1.6090.97
60_L80_E1.6080.97
497_F501_I1.5990.97
390_I393_M1.5970.97
68_L82_A1.5910.97
134_E152_T1.5810.97
371_P375_A1.5720.97
181_Q300_T1.5710.97
83_L98_Q1.5570.96
398_G404_I1.5460.96
61_I74_T1.5440.96
177_N302_A1.5340.96
480_K496_T1.5320.96
63_V167_L1.5310.96
168_K175_N1.5180.96
69_D85_P1.5110.95
473_V477_F1.5070.95
77_G151_M1.5010.95
67_V86_A1.4950.95
398_G401_K1.4950.95
366_R369_M1.4950.95
308_W316_K1.4930.95
63_V72_I1.4890.95
340_L361_I1.4840.95
393_M398_G1.4780.95
81_Q98_Q1.4750.95
7_L14_F1.4730.95
254_A327_T1.4730.95
296_Q299_Q1.4680.94
434_L438_Y1.4670.94
359_I515_L1.4620.94
455_I467_L1.4550.94
72_I149_V1.4540.94
9_V12_L1.4530.94
359_I519_V1.4400.94
530_L534_G1.4250.93
187_P297_P1.4220.93
363_F523_V1.4210.93
401_K405_S1.4120.93
474_T525_I1.4080.93
497_F500_V1.3870.92
365_V428_I1.3860.92
17_F21_Q1.3820.92
393_M408_M1.3700.91
189_E294_L1.3660.91
221_A238_I1.3630.91
392_A401_K1.3570.91
162_T181_Q1.3560.91
164_T179_N1.3530.91
90_E94_T1.3500.90
372_L510_P1.3450.90
175_N304_N1.3420.90
389_K415_E1.3370.90
382_K385_M1.3350.90
471_M478_I1.3290.90
61_I133_V1.3260.89
330_Y341_F1.3230.89
68_L167_L1.3160.89
500_V503_T1.3140.89
315_D345_K1.3100.89
438_Y442_G1.3070.88
81_Q101_E1.2910.88
346_W349_S1.2860.87
469_I500_V1.2850.87
173_A306_T1.2840.87
336_I340_L1.2670.86
148_Q164_T1.2670.86
58_G73_N1.2650.86
275_Y287_G1.2630.86
196_L307_L1.2610.86
410_A413_K1.2610.86
471_M503_T1.2600.86
20_W24_E1.2540.86
7_L435_A1.2400.85
148_Q166_V1.2330.84
72_I165_F1.2320.84
313_I316_K1.2320.84
250_G269_D1.2300.84
400_D403_R1.2290.84
164_T177_N1.2280.84
509_F517_Y1.2240.84
101_E106_F1.2170.83
426_L430_M1.2090.83
478_I520_S1.2090.83
351_V357_S1.2080.83
406_Q410_A1.2060.82
515_L519_V1.2040.82
375_A378_T1.2020.82
133_V152_T1.2020.82
141_A146_E1.2010.82
86_A172_Y1.1950.82
522_L526_I1.1930.81
430_M433_F1.1930.81
87_Y444_V1.1910.81
488_D491_Q1.1880.81
32_Q35_Q1.1880.81
340_L428_I1.1850.81
260_F311_P1.1820.81
133_V138_Y1.1810.81
110_A307_L1.1790.80
67_V171_D1.1780.80
408_M412_Y1.1710.80
460_A511_S1.1680.80
351_V356_F1.1630.79
163_K178_Y1.1600.79
11_A15_V1.1560.79
30_Q33_A1.1550.78
393_M397_L1.1530.78
56_G130_L1.1500.78
540_L543_R1.1410.77
343_L368_I1.1390.77
503_T507_L1.1390.77
134_E162_T1.1350.77
463_P468_P1.1340.77
12_L16_S1.1340.77
160_T183_A1.1280.76
376_Q532_Y1.1220.76
316_K319_A1.1220.76
175_N306_T1.1180.75
365_V436_L1.1180.75
150_P162_T1.1150.75
73_N80_E1.1140.75
478_I525_I1.1110.75
490_M493_K1.1100.75
501_I505_F1.1080.74
111_Q195_Q1.1060.74
472_G475_M1.1060.74
345_K349_S1.1060.74
67_V172_Y1.1050.74
407_E414_A1.0990.73
490_M494_I1.0990.73
254_A511_S1.0980.73
145_N169_R1.0980.73
275_Y289_K1.0940.73
393_M411_L1.0870.72
373_T376_Q1.0860.72
196_L262_T1.0850.72
24_E27_K1.0850.72
19_I23_W1.0850.72
100_L262_T1.0800.72
174_V390_I1.0800.72
493_K496_T1.0770.71
432_I523_V1.0750.71
148_Q177_N1.0740.71
19_I22_A1.0710.71
65_T68_L1.0700.71
32_Q170_G1.0690.71
359_I452_A1.0650.70
417_V479_Q1.0650.70
348_H352_G1.0640.70
312_E517_Y1.0620.70
536_E539_G1.0610.70
259_Y459_S1.0590.69
166_V175_N1.0560.69
89_K95_Q1.0500.69
340_L368_I1.0500.69
318_A325_D1.0410.68
370_Y482_S1.0290.66
165_F176_V1.0250.66
376_Q520_S1.0200.65
529_Q533_R1.0200.65
6_N13_L1.0190.65
386_L398_G1.0150.65
461_Q464_Y1.0150.65
376_Q380_M1.0140.65
495_M506_F1.0090.64
479_Q498_M1.0070.64
113_G193_F1.0050.64
461_Q507_L1.0020.63
58_G74_T1.0020.63
146_E168_K1.0010.63
34_Q40_T1.0000.63
79_V432_I1.0000.63
7_L10_I1.0000.63
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  
3wvfA20.82121000.229Contact Map
3wo6A10.36681000.619Contact Map
3blcA20.50551000.69Contact Map
3bs6A20.47451000.752Contact Map
3q1nA10.47086.30.986Contact Map
2jucA10.094950.986Contact Map
2ymyA20.06024.90.987Contact Map
2mc7A10.0423.70.987Contact Map
1pi7A10.03473.50.987Contact Map
1j8bA10.08763.50.987Contact 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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