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FAT_boundaries

ID: 1508782679 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 660 (659)
Sequences: 10308 (8650.3)
Seq/Len: 15.642
Nf(neff/√len): 337.0

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: 15.642).

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
44_L61_M5.3431.00
306_H344_W4.2381.00
230_L269_A4.1061.00
63_E239_R3.8711.00
270_R278_E3.0601.00
539_T552_V3.0311.00
446_R449_Q2.9891.00
512_N598_K2.7771.00
214_I269_A2.6461.00
227_A280_L2.6411.00
215_L231_F2.6161.00
392_V418_D2.5871.00
244_R247_L2.5861.00
190_T212_I2.5691.00
175_K193_E2.5631.00
85_K110_A2.5461.00
408_H437_Q2.4931.00
405_V434_L2.4891.00
127_D131_Q2.4451.00
233_V262_M2.4241.00
44_L239_R2.4011.00
420_H454_P2.3561.00
63_E66_N2.3131.00
418_D457_R2.3121.00
455_T458_Q2.2601.00
47_V242_L2.2531.00
66_N186_T2.2271.00
402_L438_L2.2121.00
398_L464_T2.1621.00
84_D135_T2.1581.00
212_I232_I2.1521.00
420_H423_E2.1461.00
406_W456_I2.1321.00
397_E400_Q2.1221.00
527_E531_L2.1141.00
328_G358_F2.1001.00
395_T417_I2.0991.00
289_I316_A2.0911.00
331_V364_F2.0831.00
330_Y358_F2.0771.00
142_G163_D2.0591.00
529_L625_L2.0391.00
421_F426_G2.0321.00
272_L278_E2.0241.00
605_S610_L2.0131.00
300_E314_V1.9921.00
214_I277_I1.9911.00
138_Y188_M1.9901.00
66_N237_L1.9891.00
417_I456_I1.9831.00
272_L276_N1.9741.00
40_R43_D1.9551.00
192_F202_P1.9421.00
539_T585_A1.9331.00
69_N209_R1.9291.00
405_V438_L1.9111.00
227_A268_R1.9091.00
76_P208_D1.8901.00
211_R255_H1.8881.00
128_Y132_E1.8871.00
115_P118_R1.8811.00
416_G419_D1.8771.00
529_L622_L1.8601.00
211_R233_V1.8601.00
449_Q462_L1.8511.00
116_S119_K1.8441.00
396_D417_I1.8441.00
305_N348_D1.8211.00
318_E324_K1.8191.00
179_G188_M1.8161.00
216_D220_A1.8131.00
313_T364_F1.8061.00
532_R621_E1.7971.00
168_I171_N1.7861.00
42_D63_E1.7721.00
522_I622_L1.7601.00
255_H260_E1.7581.00
526_L590_A1.7571.00
99_L188_M1.7561.00
302_F345_L1.7541.00
533_H621_E1.7451.00
189_V232_I1.7291.00
121_D124_A1.7261.00
528_Q531_L1.7241.00
330_Y360_H1.7181.00
138_Y179_G1.7011.00
329_Y378_P1.7001.00
84_D156_R1.6961.00
95_D182_P1.6951.00
453_H462_L1.6861.00
42_D65_H1.6641.00
391_Y414_Q1.6641.00
422_L451_F1.6621.00
96_G138_Y1.6621.00
229_E264_R1.6591.00
399_E417_I1.6541.00
403_A456_I1.6501.00
361_M364_F1.6491.00
39_N43_D1.6451.00
224_I271_F1.6421.00
112_H128_Y1.6411.00
523_R527_E1.6391.00
392_V417_I1.6381.00
581_D584_K1.6341.00
112_H134_I1.6321.00
192_F276_N1.6291.00
223_P226_V1.6271.00
138_Y141_T1.6211.00
316_A324_K1.6141.00
287_V296_P1.6121.00
85_K112_H1.5981.00
89_Y140_P1.5921.00
43_D239_R1.5921.00
327_V359_V1.5891.00
303_L328_G1.5851.00
62_I238_G1.5811.00
138_Y161_G1.5761.00
90_S96_G1.5721.00
409_V434_L1.5681.00
285_N374_R1.5671.00
401_Q404_Q1.5671.00
304_M311_L1.5651.00
486_S489_E1.5611.00
85_K134_I1.5601.00
514_P598_K1.5591.00
535_G538_S1.5521.00
396_D400_Q1.5521.00
212_I230_L1.5501.00
540_Y609_L1.5501.00
400_Q404_Q1.5491.00
587_L609_L1.5461.00
99_L138_Y1.5461.00
118_R124_A1.5291.00
488_V491_R1.5161.00
213_L255_H1.5141.00
219_L231_F1.4931.00
212_I269_A1.4891.00
159_I179_G1.4851.00
238_G252_F1.4841.00
185_C232_I1.4811.00
313_T372_V1.4791.00
398_L401_Q1.4701.00
70_F99_L1.4701.00
70_F188_M1.4661.00
402_L460_K1.4661.00
114_V128_Y1.4631.00
314_V328_G1.4621.00
434_L450_L1.4611.00
84_D109_A1.4531.00
491_R494_I1.4511.00
100_D138_Y1.4481.00
75_R107_A1.4481.00
292_Y352_Y1.4401.00
342_R358_F1.4361.00
245_P249_A1.4341.00
247_L251_K1.4331.00
318_E321_D1.4321.00
329_Y380_V1.4301.00
396_D464_T1.4291.00
268_R283_L1.4281.00
403_A417_I1.4221.00
60_V238_G1.4181.00
255_H262_M1.4131.00
491_R495_I1.4101.00
96_G188_M1.3970.99
213_L257_Q1.3860.99
6_N9_H1.3790.99
302_F348_D1.3780.99
395_T399_E1.3720.99
485_T489_E1.3720.99
214_I230_L1.3690.99
87_L129_C1.3680.99
48_M183_T1.3650.99
427_D430_K1.3530.99
87_L114_V1.3450.99
185_C189_V1.3430.99
392_V457_R1.3370.99
395_T457_R1.3360.99
641_F644_W1.3320.99
510_T602_W1.3300.99
518_D626_L1.3290.99
161_G188_M1.3260.99
518_D521_Q1.3260.99
88_V113_I1.3230.99
402_L456_I1.3150.99
302_F305_N1.3150.99
104_H109_A1.3010.99
497_Q542_M1.3010.99
253_I262_M1.2990.99
70_F186_T1.2990.99
304_M312_T1.2950.99
522_I601_L1.2920.99
417_I457_R1.2850.99
448_D452_T1.2800.99
84_D136_I1.2800.99
519_T592_V1.2790.99
144_A160_T1.2740.99
203_I279_F1.2710.99
231_F264_R1.2700.99
391_Y416_G1.2610.99
433_Q437_Q1.2600.99
286_L295_E1.2560.99
449_Q452_T1.2560.99
141_T144_A1.2560.99
344_W348_D1.2540.99
62_I186_T1.2480.99
403_A415_M1.2450.98
510_T600_V1.2420.98
205_K276_N1.2400.98
165_L178_N1.2300.98
46_Y62_I1.2280.98
96_G99_L1.2270.98
88_V100_D1.2270.98
5_T9_H1.2270.98
70_F100_D1.2210.98
590_A603_F1.2200.98
136_I157_V1.2180.98
429_I432_M1.2170.98
337_P340_E1.2170.98
485_T547_I1.2140.98
512_N600_V1.2110.98
269_A279_F1.2080.98
342_R346_G1.2060.98
71_C103_T1.2050.98
289_I324_K1.2050.98
401_Q441_I1.2050.98
534_E637_T1.2040.98
144_A158_V1.2010.98
138_Y143_A1.1950.98
332_A360_H1.1940.98
593_I602_W1.1910.98
157_V177_Y1.1880.98
104_H111_L1.1880.98
484_E489_E1.1880.98
521_Q626_L1.1870.98
81_T84_D1.1850.98
398_L463_L1.1780.98
207_I210_T1.1760.98
99_L179_G1.1750.98
310_E333_P1.1740.98
435_I450_L1.1740.98
528_Q625_L1.1720.98
87_L134_I1.1670.97
231_F253_I1.1630.97
434_L459_L1.1600.97
285_N300_E1.1550.97
100_D188_M1.1540.97
318_E322_G1.1530.97
590_A601_L1.1430.97
605_S609_L1.1420.97
71_C106_L1.1410.97
70_F138_Y1.1400.97
227_A283_L1.1360.97
35_L39_N1.1280.97
124_A127_D1.1260.97
489_E492_M1.1200.96
202_P276_N1.1200.96
89_Y188_M1.1180.96
399_E460_K1.1180.96
270_R280_L1.1150.96
438_L463_L1.1100.96
214_I222_Q1.1090.96
80_V109_A1.1070.96
80_V84_D1.1050.96
592_V599_K1.1050.96
89_Y139_L1.1040.96
541_H550_R1.1010.96
88_V111_L1.0990.96
216_D222_Q1.0960.96
297_G300_E1.0960.96
373_D376_A1.0930.96
406_W426_G1.0910.96
89_Y143_A1.0910.96
90_S138_Y1.0910.96
31_N35_L1.0900.96
74_Y99_L1.0860.96
129_C133_G1.0830.96
211_R260_E1.0830.96
637_T640_S1.0800.95
296_P314_V1.0780.95
231_F262_M1.0780.95
87_L128_Y1.0770.95
538_S549_K1.0770.95
139_L144_A1.0750.95
592_V601_L1.0730.95
96_G161_G1.0730.95
406_W459_L1.0720.95
588_L603_F1.0700.95
507_V610_L1.0690.95
338_H358_F1.0690.95
157_V175_K1.0680.95
431_V447_Y1.0680.95
394_P417_I1.0670.95
594_E599_K1.0670.95
61_M242_L1.0660.95
344_W347_N1.0650.95
575_E604_D1.0650.95
517_V599_K1.0620.95
306_H341_L1.0600.95
401_Q440_N1.0580.95
177_Y193_E1.0580.95
412_I415_M1.0560.95
70_F187_I1.0550.95
396_D399_E1.0530.95
492_M495_I1.0510.94
233_V260_E1.0500.94
65_H235_E1.0470.94
579_P589_R1.0470.94
638_Y641_F1.0450.94
69_N235_E1.0390.94
179_G191_M1.0380.94
391_Y394_P1.0340.94
330_Y341_L1.0340.94
49_Y59_G1.0330.94
655_E659_A1.0330.94
517_V522_I1.0320.94
582_L608_I1.0310.94
86_A104_H1.0310.94
534_E537_R1.0280.94
114_V125_L1.0280.94
75_R103_T1.0270.94
329_Y377_L1.0270.94
493_Y497_Q1.0270.94
538_S551_I1.0260.94
97_S101_I1.0230.93
213_L233_V1.0230.93
165_L176_L1.0220.93
522_I626_L1.0210.93
129_C137_S1.0210.93
443_L463_L1.0210.93
317_K379_D1.0170.93
215_L262_M1.0150.93
403_A407_S1.0140.93
98_A187_I1.0140.93
487_A645_Q1.0140.93
89_Y114_V1.0110.93
185_C237_L1.0070.93
453_H458_Q1.0070.93
482_E548_V1.0060.93
232_I265_T1.0050.93
289_I294_I1.0030.93
563_T594_E1.0020.92
543_R546_E1.0020.92
450_L459_L1.0020.92
620_R624_A1.0000.92
231_F251_K1.0000.92
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  
2vsqA10.87731000.338Contact Map
4dg8A10.56211000.363Contact Map
4iz6A20.69241000.39Contact Map
4r0mB20.68641000.406Contact Map
1amuA20.57581000.477Contact Map
4d4iA101000.48Contact Map
3g7sA20.51521000.521Contact Map
3wvnA20.39851000.522Contact Map
3vnrA10.55611000.526Contact Map
4gr5A40.41821000.527Contact 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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