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Yuan

ID: 1483539512 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 586 (571)
Sequences: 6915 (4459.7)
Seq/Len: 12.110
Nf(neff/√len): 186.6

Jackhmmer Results: (2016_04)
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: 12.110).

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
234_Q251_K5.1751.00
383_E387_R4.3431.00
466_E470_K4.2681.00
197_E522_A3.8261.00
227_R283_N3.6001.00
182_Q186_K3.5101.00
80_M83_A3.2441.00
443_A447_E3.1761.00
358_L580_P3.0611.00
216_E345_K3.0491.00
458_Q462_N3.0141.00
402_V411_M3.0141.00
524_R528_E2.8441.00
377_D569_R2.8231.00
559_P563_E2.7981.00
294_Q299_E2.6731.00
358_L548_K2.6461.00
207_T305_V2.6221.00
176_R181_D2.5601.00
81_F104_L2.4691.00
246_V250_E2.4641.00
476_L509_S2.4571.00
68_L72_A2.4331.00
220_Q223_A2.3831.00
184_L189_Q2.3561.00
524_R561_V2.3511.00
108_A118_G2.2571.00
220_Q286_H2.2441.00
457_K461_E2.2121.00
532_A550_E2.1971.00
388_D573_K2.1781.00
427_S430_G2.1691.00
534_L544_L2.1031.00
234_Q247_I2.0811.00
214_G299_E2.0791.00
528_E553_R2.0691.00
357_W547_P2.0581.00
229_Y235_E2.0481.00
531_Q550_E2.0151.00
222_R225_E2.0131.00
560_E564_Q2.0111.00
317_N329_A2.0091.00
181_D185_T2.0001.00
306_R309_T1.9981.00
556_E560_E1.9841.00
221_L291_G1.9821.00
61_A64_D1.9581.00
102_F107_A1.9521.00
462_N466_E1.9481.00
356_D548_K1.9461.00
78_K99_G1.9301.00
282_E286_H1.9251.00
33_M41_P1.9181.00
360_F546_A1.9071.00
403_S406_E1.9001.00
551_I578_Y1.8991.00
377_D382_I1.8971.00
532_A554_L1.8871.00
232_A280_I1.8751.00
228_I238_I1.8731.00
544_L554_L1.8551.00
522_A526_K1.8441.00
174_D177_N1.8441.00
197_E526_K1.8341.00
209_R348_Q1.8201.00
91_K200_F1.8011.00
119_D122_A1.8001.00
50_E53_R1.7991.00
187_L477_L1.7901.00
455_G458_Q1.7901.00
234_Q246_V1.7871.00
516_K565_A1.7861.00
210_L349_A1.7581.00
201_T533_R1.7521.00
444_E448_R1.7451.00
231_L283_N1.7421.00
524_R527_E1.7401.00
544_L558_V1.7331.00
389_L394_K1.7331.00
194_I519_I1.7301.00
209_R212_Q1.7291.00
516_K520_D1.7281.00
520_D523_A1.7211.00
520_D561_V1.7151.00
393_T404_E1.7101.00
246_V251_K1.7051.00
379_D455_G1.6851.00
102_F184_L1.6731.00
438_T441_E1.6541.00
551_I555_C1.6491.00
275_A282_E1.6491.00
547_P550_E1.6481.00
475_T508_G1.6391.00
472_Y480_R1.6341.00
395_T419_N1.6341.00
465_Q469_Q1.6311.00
203_V535_L1.6301.00
204_N353_S1.6251.00
170_P174_D1.6221.00
382_I386_Q1.6211.00
477_L566_V1.6151.00
226_Q235_E1.5951.00
74_E98_R1.5901.00
206_D351_V1.5901.00
372_L423_V1.5871.00
557_L561_V1.5831.00
204_N351_V1.5721.00
524_R560_E1.5711.00
218_A294_Q1.5681.00
531_Q547_P1.5641.00
73_D76_K1.5571.00
229_Y238_I1.5551.00
474_T480_R1.5541.00
414_Q441_E1.5471.00
525_L554_L1.5281.00
213_M217_L1.5261.00
421_G426_I1.5251.00
267_S270_V1.5231.00
220_Q342_E1.5221.00
65_S68_L1.5211.00
580_P584_D1.5141.00
524_R557_L1.5141.00
428_D443_A1.5071.00
252_L278_H1.4971.00
239_N287_Y1.4921.00
135_D139_Y1.4811.00
552_E555_C1.4801.00
491_F495_S1.4781.00
211_E302_L1.4771.00
168_E172_M1.4621.00
156_H160_K1.4611.00
82_D85_R1.4591.00
546_A554_L1.4541.00
555_C559_P1.4391.00
88_V196_A1.4371.00
392_H420_F1.4341.00
371_V506_I1.4321.00
468_K498_E1.4321.00
314_T328_S1.4241.00
554_L558_V1.4181.00
223_A227_R1.4181.00
461_E464_V1.4171.00
227_R230_E1.4111.00
523_A527_E1.4000.99
60_T64_D1.3990.99
316_F536_L1.3970.99
226_Q230_E1.3870.99
397_M403_S1.3870.99
72_A95_I1.3850.99
360_F551_I1.3820.99
345_K348_Q1.3800.99
115_Q126_M1.3740.99
521_L561_V1.3730.99
379_D383_E1.3670.99
353_S357_W1.3600.99
374_H569_R1.3590.99
398_D452_S1.3570.99
410_N414_Q1.3460.99
187_L516_K1.3440.99
357_W545_E1.3440.99
485_D497_A1.3410.99
218_A222_R1.3400.99
448_R451_A1.3350.99
348_Q583_Y1.3320.99
362_A576_Y1.3310.99
311_K353_S1.3230.99
162_A166_A1.3220.99
36_N39_D1.3210.99
496_F500_T1.3160.99
209_R349_A1.3160.99
495_S498_E1.3150.99
447_E451_A1.3120.99
276_P282_E1.3060.99
47_L57_R1.3060.99
77_K101_A1.3030.99
124_A163_A1.3010.99
25_K79_S1.3000.99
173_D177_N1.3000.99
465_Q468_K1.2910.99
374_H568_L1.2870.99
382_I569_R1.2830.99
240_S243_Q1.2800.99
34_E40_A1.2790.99
207_T211_E1.2770.99
417_A434_N1.2700.99
247_I251_K1.2650.99
217_L298_I1.2630.99
214_G298_I1.2470.99
491_F494_R1.2420.98
513_I572_L1.2400.98
358_L578_Y1.2380.98
532_A547_P1.2360.98
408_T411_M1.2310.98
530_L553_R1.2310.98
531_Q549_E1.2300.98
483_L497_A1.2210.98
172_M176_R1.2130.98
548_K580_P1.2120.98
559_P576_Y1.2110.98
183_L187_L1.2080.98
581_T584_D1.2030.98
208_K212_Q1.2010.98
486_I497_A1.2000.98
563_E573_K1.2000.98
521_L544_L1.1980.98
383_E386_Q1.1960.98
550_E553_R1.1950.98
352_P359_I1.1940.98
82_D105_L1.1930.98
229_Y236_F1.1920.98
460_M502_M1.1910.98
125_K131_A1.1820.98
91_K197_E1.1790.98
530_L550_E1.1780.98
555_C578_Y1.1770.98
87_V196_A1.1710.98
106_L192_A1.1630.97
224_I283_N1.1620.97
106_L319_A1.1610.97
79_S168_E1.1600.97
393_T409_A1.1580.97
439_R443_A1.1530.97
70_W76_K1.1530.97
441_E444_E1.1490.97
201_T522_A1.1450.97
389_L404_E1.1410.97
428_D439_R1.1360.97
73_D78_K1.1310.97
174_D178_N1.1220.97
237_N240_S1.1200.96
378_D455_G1.1200.96
83_A192_A1.1200.96
317_N327_S1.1160.96
380_N383_E1.1150.96
360_F555_C1.1130.96
88_V200_F1.1110.96
479_R512_D1.1100.96
552_E556_E1.1060.96
513_I566_V1.1060.96
353_S545_E1.1030.96
41_P93_K1.0980.96
232_A236_F1.0980.96
225_E229_Y1.0940.96
30_V42_I1.0940.96
237_N243_Q1.0890.96
275_A281_V1.0870.96
109_Y320_L1.0860.96
358_L551_I1.0850.96
276_P281_V1.0850.96
268_A285_L1.0820.96
268_A272_E1.0750.95
394_K398_D1.0720.95
160_K164_I1.0720.95
278_H281_V1.0680.95
242_K246_V1.0680.95
82_D86_A1.0670.95
112_N115_Q1.0630.95
172_M185_T1.0620.95
450_F457_K1.0610.95
357_W533_R1.0580.95
204_N354_E1.0580.95
557_L560_E1.0570.95
564_Q567_T1.0560.95
468_K494_R1.0540.95
227_R231_L1.0520.95
485_D493_V1.0470.94
518_M542_L1.0470.94
261_K264_Y1.0470.94
211_E215_S1.0430.94
28_L90_L1.0420.94
17_I20_E1.0350.94
461_E465_Q1.0340.94
136_E141_K1.0280.94
134_S137_A1.0270.94
236_F247_I1.0260.94
219_E223_A1.0240.93
204_N352_P1.0210.93
375_I506_I1.0200.93
577_H585_A1.0170.93
28_L45_I1.0160.93
418_V445_F1.0160.93
222_R226_Q1.0130.93
362_A558_V1.0110.93
68_L95_I1.0090.93
407_V411_M1.0080.93
120_I164_I1.0070.93
402_V407_V1.0050.93
279_E282_E1.0040.93
228_I280_I1.0030.93
60_T63_A1.0030.93
215_S218_A1.0030.93
430_G434_N1.0010.92
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  
2kfnA10.99321000.077Contact Map
4yfuA201000.089Contact Map
4bwjA10.9131000.118Contact Map
4x0qA20.92661000.136Contact Map
4xvkA10.9421000.155Contact Map
1bgxT10.92831000.159Contact Map
1x9mA10.91981000.189Contact Map
3ikmA20.92491000.544Contact Map
1yt3A10.5871000.776Contact Map
2e6mA10.290199.90.852Contact 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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