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OPENSEQ.org

lntEco

ID: 1488194838 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 512 (500)
Sequences: 4388 (3324.1)
Seq/Len: 8.776
Nf(neff/√len): 148.7

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: 8.776).

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
167_M171_A6.6071.00
451_V472_T4.8581.00
453_G457_E4.8201.00
462_I468_E4.2051.00
426_F450_A4.1151.00
316_I410_I3.7021.00
161_K434_L3.6391.00
436_L484_A3.5961.00
253_T265_W3.2321.00
315_T334_N3.1661.00
432_R435_E3.1611.00
229_G249_Y3.0651.00
20_F43_G3.0271.00
411_S444_T2.7491.00
125_A129_P2.5991.00
152_G169_V2.5911.00
157_D430_R2.4901.00
433_A440_L2.4891.00
225_S260_S2.4381.00
225_S471_T2.4011.00
57_A106_G2.3081.00
248_I467_R2.2641.00
483_Y488_N2.2441.00
439_P454_P2.1781.00
288_L295_L2.1541.00
71_G149_L2.1301.00
382_L406_Y2.1291.00
35_P38_I2.1041.00
348_E364_S2.0971.00
223_Q473_N2.0331.00
224_V441_L2.0261.00
226_M449_T2.0251.00
209_R212_Q2.0191.00
482_P486_T2.0011.00
226_M443_S1.9931.00
247_K251_N1.9571.00
301_D334_N1.9481.00
385_A396_V1.9421.00
18_L62_C1.9331.00
439_P475_T1.9181.00
407_L440_L1.8971.00
155_Q176_L1.8921.00
225_S256_L1.8801.00
397_R487_G1.8691.00
61_F99_A1.8651.00
164_A431_M1.8641.00
165_P437_A1.8611.00
300_V365_F1.8551.00
25_T70_S1.8401.00
60_G106_G1.8371.00
14_L62_C1.8311.00
376_S381_E1.8301.00
165_P434_L1.7991.00
437_A481_T1.7931.00
24_G40_S1.7931.00
440_L452_I1.7881.00
53_P110_G1.7741.00
243_L247_K1.7661.00
163_L175_L1.7641.00
153_Y431_M1.7601.00
316_I384_A1.7391.00
406_Y474_V1.7361.00
60_G64_G1.7341.00
133_Q174_F1.7271.00
165_P208_L1.7201.00
230_D467_R1.7161.00
253_T263_I1.7041.00
453_G459_Q1.6841.00
17_A21_G1.6611.00
164_A172_I1.6501.00
110_G114_R1.6501.00
226_M441_L1.6421.00
315_T332_R1.6331.00
413_D425_H1.6251.00
352_R359_D1.6171.00
46_A184_A1.6151.00
423_W448_I1.6101.00
26_L31_Y1.6001.00
129_P178_M1.5771.00
153_Y428_M1.5671.00
37_A155_Q1.5661.00
296_V318_T1.5571.00
426_F458_I1.5551.00
78_S416_F1.5541.00
390_I440_L1.5451.00
260_S471_T1.5441.00
52_R55_Q1.5321.00
381_E405_D1.5191.00
225_S469_V1.5071.00
383_T407_L1.5061.00
72_I146_F1.4991.00
383_T404_T1.4981.00
38_I180_S1.4931.00
429_A440_L1.4821.00
27_A37_A1.4801.00
252_A255_P1.4761.00
77_V419_S1.4671.00
460_A470_L1.4631.00
48_T109_A1.4601.00
112_L128_A1.4550.99
17_A47_L1.4490.99
62_C66_G1.4480.99
449_T462_I1.4400.99
166_I482_P1.4290.99
480_L485_R1.4180.99
56_S109_A1.4160.99
17_A59_I1.4140.99
138_L142_V1.4130.99
264_I408_L1.4050.99
460_A472_T1.3980.99
347_L351_L1.3930.99
65_F69_G1.3840.99
40_S63_W1.3810.99
390_I409_T1.3570.99
60_G109_A1.3540.99
205_P208_L1.3420.99
417_G465_F1.3420.99
301_D315_T1.3330.99
377_A380_I1.3260.99
221_T473_N1.3240.99
190_R193_R1.3240.99
136_E173_N1.3230.99
56_S113_S1.3210.99
380_I405_D1.3190.99
405_D476_P1.3120.99
42_M180_S1.3120.99
37_A154_S1.3110.99
458_I461_M1.3050.99
350_I354_L1.2950.99
35_P39_I1.2930.99
38_I155_Q1.2910.99
97_L104_Y1.2870.98
208_L213_W1.2820.98
68_F139_R1.2800.98
184_A188_V1.2690.98
49_F188_V1.2690.98
426_F452_I1.2690.98
51_R55_Q1.2660.98
348_E352_R1.2660.98
480_L484_A1.2620.98
65_F102_S1.2610.98
205_P209_R1.2590.98
53_P57_A1.2530.98
14_L58_A1.2440.98
54_L58_A1.2430.98
413_D442_R1.2420.98
439_P474_V1.2340.98
43_G180_S1.2340.98
251_N255_P1.2310.98
208_L212_Q1.2250.98
299_I317_I1.2240.98
33_V36_A1.2240.98
21_G66_G1.2220.98
24_G63_W1.2220.98
323_A328_E1.2200.98
69_G98_A1.2200.98
249_Y269_A1.2180.98
28_F67_L1.2140.98
133_Q173_N1.2120.97
316_I386_I1.2120.97
496_A500_F1.2120.97
337_H395_Q1.2100.97
223_Q471_T1.2100.97
441_L474_V1.2090.97
252_A469_V1.2060.97
296_V408_L1.2040.97
13_R50_N1.2040.97
44_L109_A1.2030.97
13_R59_I1.1980.97
73_N420_I1.1920.97
94_V97_L1.1850.97
155_Q172_I1.1800.97
22_A26_L1.1650.97
162_G165_P1.1640.97
313_Y334_N1.1570.96
97_L101_L1.1530.96
262_L296_V1.1530.96
320_G330_A1.1500.96
151_F177_M1.1480.96
129_P174_F1.1470.96
100_Y105_T1.1400.96
131_L498_F1.1400.96
241_Q244_N1.1370.96
313_Y366_S1.1370.96
236_K268_S1.1320.96
47_L59_I1.1230.96
138_L141_W1.1190.95
93_L97_L1.1180.95
233_Q236_K1.1160.95
163_L205_P1.1140.95
161_K431_M1.1110.95
31_Y420_I1.1100.95
129_P181_G1.1100.95
323_A329_S1.1090.95
18_L66_G1.1070.95
250_Y254_A1.1060.95
285_D289_R1.1050.95
451_V474_V1.1050.95
230_D446_N1.1040.95
226_M470_L1.1020.95
422_P464_Q1.0980.95
46_A187_L1.0950.95
268_S300_V1.0920.95
221_T475_T1.0900.95
454_P477_T1.0860.94
226_M451_V1.0840.94
104_Y108_F1.0840.94
137_F141_W1.0840.94
439_P451_V1.0760.94
406_Y441_L1.0760.94
241_Q245_T1.0730.94
100_Y104_Y1.0640.94
167_M175_L1.0640.94
301_D332_R1.0640.94
148_W424_Q1.0640.94
44_L63_W1.0620.94
162_G434_L1.0620.94
318_T375_L1.0600.93
56_S60_G1.0590.93
101_L105_T1.0570.93
20_F47_L1.0540.93
224_V406_Y1.0480.93
423_W464_Q1.0470.93
294_S318_T1.0460.93
45_Q128_A1.0430.93
24_G151_F1.0390.93
165_P482_P1.0290.92
130_A495_T1.0260.92
336_N398_D1.0260.92
134_V495_T1.0210.92
235_L241_Q1.0210.92
320_G328_E1.0190.92
452_I458_I1.0160.91
109_A113_S1.0150.91
45_Q181_G1.0150.91
303_R313_Y1.0120.91
347_L350_I1.0110.91
134_V138_L1.0070.91
61_F65_F1.0070.91
43_G47_L1.0010.91
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  
1uf5A20.50781000.636Contact Map
2w1vA20.48051000.664Contact Map
3p8kA20.47461000.665Contact Map
2e11A40.46291000.67Contact Map
4izuA10.44341000.671Contact Map
1f89A20.47851000.671Contact Map
3ivzA20.45121000.673Contact Map
4f4hA20.50591000.675Contact Map
4hg5A40.49021000.675Contact Map
1emsA20.50981000.676Contact 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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