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OPENSEQ.org

NmeIPMS_Coevolution

ID: 1483938089 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 517 (515)
Sequences: 1601 (728.1)
Seq/Len: 3.109
Nf(neff/√len): 32.1

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: 3.109).

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
50_A74_S5.6521.00
84_R130_I4.0271.00
317_S320_S3.9921.00
183_E222_G3.9801.00
112_K143_E3.5121.00
304_D308_K3.4841.00
195_N199_V3.3811.00
109_M117_P3.2951.00
339_F359_A3.2211.00
106_P117_P3.1641.00
8_I44_I2.9641.00
115_M123_A2.9201.00
187_R191_V2.8891.00
435_I492_A2.8771.00
5_N225_R2.8621.00
264_D267_Q2.8601.00
452_Y491_T2.7681.00
25_M278_I2.7171.00
124_A160_V2.6241.00
61_N65_K2.6001.00
343_L382_V2.5921.00
109_M152_F2.5581.00
38_E69_K2.4811.00
38_E70_S2.4391.00
33_V275_V2.4331.00
6_R262_G2.4251.00
65_K92_P2.3981.00
196_G201_W2.3521.00
157_C168_I2.3371.00
146_L177_S2.3251.00
188_E192_K2.3061.00
61_N92_P2.2861.00
80_E126_K2.2791.00
130_I134_Y2.2241.00
103_A143_E2.2061.00
125_V160_V2.2061.00
84_R134_Y2.1941.00
157_C170_I2.1921.00
118_K121_I2.1741.00
103_A112_K2.1681.00
360_F364_K2.1631.00
306_V326_N2.1491.00
106_P109_M2.1391.00
150_I188_E2.1381.00
142_C157_C2.1111.00
50_A60_V2.1011.00
71_T95_K2.0981.00
158_G195_N2.0941.00
25_M33_V2.0941.00
125_V159_A2.0781.00
151_D154_A2.0751.00
124_A156_I2.0701.00
426_A441_S2.0611.00
429_S485_T2.0511.00
51_A85_Q2.0321.00
154_A189_L2.0291.00
80_E130_I2.0061.00
106_P149_E1.9921.00
186_F203_A1.9671.00
31_I63_I1.9641.00
122_E126_K1.9471.00
109_M120_V1.9261.00
154_A188_E1.9230.99
160_V168_I1.9230.99
154_A192_K1.9140.99
484_D489_V1.9060.99
125_V129_K1.8870.99
60_V74_S1.8700.99
435_I488_L1.8680.99
74_S86_A1.8560.99
269_V323_W1.8250.99
8_I167_T1.8180.99
78_A100_T1.8060.99
170_I189_L1.7740.99
150_I185_F1.7420.99
298_E333_L1.7370.99
8_I200_V1.7290.99
78_A127_A1.7270.99
180_Y221_K1.7210.99
119_Q122_E1.7110.99
23_A275_V1.7060.99
124_A159_A1.6840.98
80_E84_R1.6780.98
125_V163_A1.6730.98
85_Q88_E1.6710.98
351_E355_A1.6640.98
109_M148_S1.6630.98
241_A246_I1.6300.98
359_A381_L1.6260.98
23_A33_V1.6180.98
337_N341_T1.5980.97
187_R222_G1.5960.97
410_R427_T1.5960.97
361_A365_E1.5850.97
340_K353_E1.5820.97
23_A281_Y1.5790.97
234_L275_V1.5650.97
220_L227_V1.5550.97
333_L371_R1.5520.97
54_P85_Q1.5490.97
339_F378_L1.5410.97
341_T345_D1.5390.97
109_M149_E1.5390.97
397_I416_S1.5300.96
452_Y487_V1.5250.96
329_S333_L1.5230.96
170_I185_F1.5150.96
341_T344_A1.5150.96
207_N284_Q1.5100.96
148_S157_C1.5100.96
115_M119_Q1.5100.96
90_V96_K1.5030.96
113_L143_E1.5000.96
395_K416_S1.4970.96
57_F85_Q1.4920.96
71_T137_D1.4910.96
216_S229_C1.4880.96
104_T156_I1.4870.96
200_V225_R1.4820.96
450_Q472_A1.4780.95
51_A81_R1.4770.95
116_K119_Q1.4720.95
298_E331_G1.4670.95
190_I201_W1.4650.95
439_I492_A1.4400.95
33_V278_I1.4380.95
213_V246_I1.4260.94
393_S418_K1.4180.94
87_G96_K1.4020.94
159_A162_E1.3840.93
7_V225_R1.3840.93
396_F496_L1.3820.93
36_Q267_Q1.3800.93
178_I257_F1.3720.93
344_A349_E1.3680.92
117_P152_F1.3660.92
414_V423_R1.3510.92
25_M275_V1.3430.91
35_R66_T1.3380.91
62_A66_T1.3340.91
186_F201_W1.3320.91
7_V250_L1.3300.91
465_G487_V1.3280.91
95_K137_D1.3150.90
117_P149_E1.3120.90
213_V241_A1.3070.90
87_G135_T1.3030.90
275_V278_I1.2930.89
266_T320_S1.2900.89
227_V246_I1.2860.89
251_K320_S1.2840.89
36_Q271_S1.2750.88
54_P365_E1.2720.88
118_K155_E1.2700.88
142_C153_L1.2700.88
343_L378_L1.2670.88
111_Y309_H1.2660.88
168_I195_N1.2660.88
100_T138_V1.2650.88
103_A148_S1.2650.88
92_P96_K1.2600.88
207_N211_L1.2600.88
137_D167_T1.2550.87
84_R87_G1.2480.87
428_G438_A1.2460.87
117_P155_E1.2440.87
88_E91_A1.2430.87
95_K136_D1.2420.87
143_E313_Y1.2380.86
332_K364_K1.2190.85
229_C246_I1.2180.85
87_G92_P1.2180.85
87_G134_Y1.2150.85
102_I120_V1.2150.85
472_A475_N1.2010.84
130_I133_E1.2000.84
392_E395_K1.1960.84
182_T203_A1.1940.84
180_Y184_E1.1860.83
103_A113_L1.1810.83
448_T472_A1.1790.82
397_I414_V1.1770.82
207_N212_A1.1770.82
218_A221_K1.1760.82
185_F189_L1.1750.82
100_T128_V1.1550.81
142_C170_I1.1440.80
157_C193_T1.1400.79
417_I442_V1.1350.79
229_C247_V1.1340.79
167_T200_V1.1320.79
478_V502_L1.1290.79
86_A90_V1.1220.78
183_E187_R1.1210.78
87_G91_A1.1200.78
121_I155_E1.1190.78
106_P110_E1.1170.78
281_Y285_P1.1130.77
117_P120_V1.1130.77
162_E195_N1.1070.77
398_S414_V1.1040.76
182_T219_A1.1020.76
38_E72_V1.0880.75
251_K254_H1.0820.74
336_R357_N1.0770.74
353_E357_N1.0730.73
39_K267_Q1.0720.73
117_P148_S1.0650.73
122_E155_E1.0630.72
5_N200_V1.0630.72
436_F469_V1.0580.72
178_I256_L1.0570.72
216_S220_L1.0530.71
182_T186_F1.0510.71
216_S227_V1.0510.71
158_G161_I1.0510.71
41_G69_K1.0480.71
183_E218_A1.0440.71
31_I66_T1.0440.71
154_A158_G1.0400.70
447_A471_L1.0390.70
378_L382_V1.0380.70
408_E412_D1.0360.70
218_A222_G1.0330.69
400_K404_E1.0330.69
132_R166_T1.0280.69
150_I192_K1.0250.68
471_L502_L1.0230.68
110_E116_K1.0220.68
376_E379_H1.0180.68
70_S95_K1.0150.67
96_K135_T1.0140.67
33_V276_S1.0130.67
177_S181_K1.0120.67
351_E354_E1.0110.67
102_I142_C1.0090.67
20_S23_A1.0080.67
342_K346_L1.0040.66
129_K163_A1.0040.66
191_V222_G1.0020.66
55_G332_K1.0000.66
109_M116_K1.0000.66
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  
3hq1A20.93231000.448Contact Map
4ov4A10.70791000.54Contact Map
3rmjA20.59771000.547Contact Map
2ztjA10.59961000.558Contact Map
3ivsA20.69441000.569Contact Map
3eegA20.5281000.645Contact Map
3bleA10.57451000.646Contact Map
2qf7A20.87811000.666Contact Map
3ewbX10.52421000.706Contact Map
4qshA40.86461000.708Contact 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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