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OPENSEQ.org

1TRK

ID: 1478165646 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 680 (662)
Sequences: 7394 (2924.9)
Seq/Len: 11.169
Nf(neff/√len): 113.7

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: 11.169).

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
205_K208_E3.8891.00
557_I660_A3.7831.00
425_M439_G3.7761.00
19_A76_S3.3651.00
436_K462_P3.2981.00
579_K661_Q3.0741.00
575_T657_A3.0521.00
215_L242_T3.0191.00
54_N309_N2.9671.00
86_S89_D2.9271.00
223_D226_G2.9211.00
603_L608_D2.8921.00
550_Q573_A2.8361.00
653_P657_A2.7301.00
47_Q228_A2.7151.00
213_E242_T2.6871.00
517_S520_T2.6381.00
599_L603_L2.5821.00
569_S615_V2.5651.00
595_D626_Y2.5531.00
652_T655_G2.5451.00
546_G588_L2.4071.00
51_N309_N2.3741.00
202_D205_K2.3501.00
499_W510_A2.3421.00
291_Q295_D2.3281.00
496_I523_I2.3211.00
49_R59_N2.3081.00
614_S630_S2.3071.00
456_S465_W2.3011.00
570_V585_V2.2961.00
150_Y181_I2.2481.00
557_I583_A2.2191.00
629_Q659_R2.2081.00
428_I435_Y2.1861.00
575_T653_P2.1551.00
561_A566_V2.1471.00
575_T654_E2.1271.00
294_Y298_Q2.1241.00
169_S207_Y2.1151.00
113_V124_N2.1151.00
550_Q574_K2.1051.00
237_S240_K2.1021.00
33_A70_A2.0991.00
571_E574_K2.0371.00
556_D582_K2.0271.00
166_S210_Y2.0221.00
24_S269_A2.0181.00
249_T258_G2.0021.00
488_A618_L1.9661.00
96_L644_E1.9541.00
642_A646_F1.9511.00
560_V588_L1.9401.00
150_Y235_K1.9391.00
22_T72_A1.9271.00
55_P109_P1.9101.00
183_I231_I1.8981.00
178_G213_E1.8891.00
497_Q590_D1.8881.00
213_E237_S1.8811.00
453_V496_I1.8491.00
10_L292_E1.8431.00
444_N486_T1.8291.00
620_T632_G1.8251.00
425_M463_V1.8241.00
309_N313_N1.8231.00
559_L569_S1.8171.00
613_M660_A1.8161.00
155_L182_A1.8141.00
20_V272_V1.7921.00
47_Q235_K1.7821.00
50_M83_Y1.7791.00
497_Q520_T1.7761.00
49_R308_A1.7731.00
156_G159_C1.7691.00
150_Y179_N1.7611.00
40_A183_I1.7491.00
629_Q662_K1.7461.00
125_A153_V1.7361.00
584_R609_N1.7351.00
647_K652_T1.7321.00
655_G659_R1.7301.00
460_G495_N1.7271.00
24_S27_N1.7171.00
228_A232_A1.7141.00
332_R375_E1.7121.00
627_A630_S1.7031.00
595_D625_K1.7021.00
561_A569_S1.6991.00
182_A212_W1.6951.00
499_W522_S1.6941.00
551_D584_R1.6911.00
527_S531_L1.6881.00
144_F315_L1.6871.00
647_K654_E1.6851.00
490_F523_I1.6831.00
174_H200_D1.6781.00
567_S571_E1.6771.00
64_V128_M1.6731.00
512_K516_E1.6671.00
88_E91_K1.6651.00
254_S275_L1.6591.00
171_L175_L1.6591.00
658_E662_K1.6501.00
130_M424_I1.6471.00
285_K288_V1.6381.00
79_H294_Y1.6321.00
149_N431_F1.6261.00
464_I514_S1.6201.00
502_A587_S1.6171.00
121_G155_L1.6161.00
213_E233_Q1.6121.00
559_L615_V1.6051.00
443_L490_F1.5961.00
356_V361_L1.5961.00
641_K644_E1.5951.00
573_A585_V1.5901.00
332_R406_N1.5791.00
613_M663_T1.5781.00
450_A489_H1.5781.00
17_I20_V1.5731.00
96_L648_F1.5711.00
429_S437_P1.5611.00
502_A566_V1.5581.00
176_K399_P1.5561.00
429_S461_H1.5511.00
581_I661_Q1.5511.00
215_L233_Q1.5461.00
425_M440_G1.5311.00
572_A615_V1.5311.00
360_K388_L1.5051.00
613_M629_Q1.4971.00
43_V228_A1.4921.00
204_A245_K1.4911.00
101_P108_L1.4861.00
504_G533_Q1.4861.00
96_L640_G1.4841.00
559_L660_A1.4841.00
572_A657_A1.4741.00
108_L111_V1.4711.00
655_G658_E1.4661.00
34_P76_S1.4581.00
132_Q151_T1.4581.00
613_M631_F1.4551.00
568_L653_P1.4541.00
130_M175_L1.4501.00
484_I633_I1.4461.00
169_S210_Y1.4451.00
588_L591_F1.4271.00
615_V656_V1.4261.00
204_A208_E1.4261.00
422_G465_W1.4151.00
629_Q663_T1.4111.00
58_I330_L1.4070.99
422_G456_S1.3990.99
186_D245_K1.3980.99
599_L602_R1.3980.99
497_Q592_F1.3930.99
122_I169_S1.3900.99
571_E653_P1.3900.99
356_V364_T1.3850.99
620_T634_D1.3810.99
313_N317_S1.3800.99
152_Y181_I1.3720.99
453_V467_A1.3710.99
646_F651_F1.3620.99
644_E647_K1.3610.99
429_S463_V1.3600.99
422_G449_A1.3560.99
591_F595_D1.3530.99
249_T257_A1.3470.99
22_T90_L1.3470.99
268_K271_D1.3380.99
479_P482_Q1.3380.99
24_S272_V1.3340.99
20_V275_L1.3330.99
424_I428_I1.3310.99
125_A182_A1.3290.99
436_K464_I1.3290.99
132_Q149_N1.3270.99
63_F154_F1.3250.99
33_A37_M1.3240.99
499_W590_D1.3220.99
43_V224_L1.3200.99
426_N456_S1.3160.99
307_E311_K1.3160.99
645_V649_F1.3140.99
214_V245_K1.3140.99
558_I607_P1.3050.99
487_L525_A1.3040.99
443_L525_A1.3030.99
170_S199_F1.2980.99
204_A214_V1.2980.99
635_R649_F1.2950.99
548_V584_R1.2880.99
360_K363_E1.2820.99
657_A661_Q1.2810.99
171_L424_I1.2780.99
562_T588_L1.2770.99
635_R648_F1.2760.99
147_S330_L1.2730.99
488_A621_T1.2710.99
190_T416_I1.2650.99
651_F655_G1.2560.99
58_I334_L1.2530.99
251_G262_V1.2510.99
87_I91_K1.2500.99
644_E648_F1.2470.99
360_K364_T1.2460.98
24_S268_K1.2390.98
97_G648_F1.2370.98
572_A660_A1.2340.98
314_K318_E1.2330.98
659_R662_K1.2320.98
520_T596_K1.2290.98
141_K326_L1.2270.98
128_M431_F1.2230.98
577_A582_K1.2220.98
360_K530_N1.2210.98
50_M81_T1.2120.98
274_Q277_S1.2080.98
460_G519_H1.2080.98
188_K247_T1.2080.98
18_L22_T1.2050.98
583_A660_A1.2050.98
507_V526_L1.2040.98
660_A663_T1.1970.98
33_A154_F1.1920.98
356_V360_K1.1910.98
532_P567_S1.1870.98
130_M397_F1.1850.98
493_L496_I1.1850.98
631_F659_R1.1850.98
232_A235_K1.1840.98
11_A39_P1.1840.98
568_L646_F1.1840.98
487_L618_L1.1760.98
617_V646_F1.1760.98
575_T578_A1.1750.98
320_Q331_A1.1740.98
633_I649_F1.1730.98
355_A530_N1.1650.97
550_Q577_A1.1640.97
558_I586_V1.1620.97
476_E641_K1.1620.97
85_L89_D1.1590.97
588_L623_W1.1550.97
419_H452_A1.1550.97
35_L275_L1.1530.97
497_Q593_T1.1490.97
78_L110_G1.1460.97
53_T306_V1.1390.97
47_Q232_A1.1350.97
130_M171_L1.1340.97
59_N315_L1.1340.97
282_N285_K1.1340.97
330_L334_L1.1340.97
64_V125_A1.1340.97
509_A542_A1.1330.97
557_I613_M1.1320.97
19_A34_P1.1320.97
47_Q108_L1.1320.97
119_G162_E1.1320.97
12_V39_P1.1300.97
25_K91_K1.1230.97
216_Y245_K1.1180.96
132_Q179_N1.1170.96
122_I172_A1.1160.96
259_S262_V1.1150.96
231_I244_I1.1120.96
488_A622_C1.1100.96
595_D602_R1.1090.96
456_S463_V1.1060.96
229_K233_Q1.1060.96
249_T252_Y1.1050.96
18_L79_H1.1040.96
613_M659_R1.1010.96
611_P663_T1.0960.96
89_D92_Q1.0950.96
161_Q190_T1.0900.96
145_T315_L1.0900.96
67_N154_F1.0880.96
552_V582_K1.0880.96
178_G242_T1.0870.96
43_V47_Q1.0870.96
614_S620_T1.0860.96
556_D583_A1.0830.96
164_I423_A1.0820.96
547_Y587_S1.0790.95
387_N440_G1.0770.95
447_S486_T1.0760.95
473_G646_F1.0740.95
303_K307_E1.0720.95
31_P264_G1.0720.95
184_Y243_L1.0670.95
151_T179_N1.0670.95
469_H523_I1.0670.95
54_N313_N1.0660.95
53_T302_L1.0650.95
256_H271_D1.0620.95
122_I182_A1.0610.95
234_A244_I1.0600.95
428_I437_P1.0590.95
15_I76_S1.0570.95
363_E388_L1.0550.95
546_G605_V1.0530.95
178_G238_K1.0530.95
586_V605_V1.0480.94
591_F626_Y1.0480.94
172_A180_L1.0460.94
113_V430_A1.0420.94
183_I246_M1.0410.94
422_G467_A1.0390.94
310_N314_K1.0380.94
273_K277_S1.0370.94
224_L228_A1.0360.94
361_L504_G1.0350.94
465_W526_L1.0350.94
257_A278_K1.0350.94
349_Y364_T1.0290.94
215_L230_A1.0280.94
206_R210_Y1.0270.94
132_Q431_F1.0260.94
534_L570_V1.0250.93
17_I281_F1.0250.93
145_T148_D1.0230.93
91_K287_F1.0220.93
366_L438_Y1.0210.93
37_M70_A1.0200.93
43_V227_I1.0190.93
558_I606_L1.0180.93
631_F651_F1.0170.93
281_F290_P1.0120.93
106_F459_S1.0090.93
67_N156_G1.0090.93
181_I244_I1.0060.93
437_P462_P1.0060.93
462_P520_T1.0040.93
631_F656_V1.0030.93
358_T531_L1.0030.93
123_S420_A1.0020.92
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  
1r9jA20.97651000.269Contact Map
1gpuA20.99561000.276Contact Map
1itzA30.96181000.304Contact Map
2r8oA20.96031000.31Contact Map
3rimA40.9751000.314Contact Map
3komA20.94261000.314Contact Map
3m49A20.96031000.321Contact Map
3uk1A20.95151000.323Contact Map
4c7vA10.95741000.323Contact Map
2e6kA40.94711000.324Contact 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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