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OPENSEQ.org

TM_SLC26A4 resubmit

ID: 1496222558 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 420 (393)
Sequences: 20798 (11060)
Seq/Len: 52.921
Nf(neff/√len): 557.9

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: 52.921).

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
152_V188_G3.3991.00
107_L309_G2.7211.00
117_G299_I2.6901.00
401_V413_A2.6021.00
41_F338_I2.4911.00
38_L338_I2.1611.00
36_P304_S2.1101.00
195_C219_V2.0851.00
107_L306_I2.0651.00
186_T190_L2.0301.00
38_L341_A2.0091.00
331_G336_A2.0011.00
4_G339_I1.9341.00
225_A229_G1.8851.00
397_F417_F1.8831.00
32_S316_A1.8801.00
39_T307_F1.8771.00
176_N179_D1.8591.00
190_L194_V1.8501.00
223_A362_V1.8201.00
241_V245_P1.7581.00
110_G306_I1.7541.00
226_I230_A1.7451.00
54_F57_V1.7321.00
180_T185_F1.7261.00
115_I119_L1.7241.00
53_P56_V1.7181.00
392_A396_V1.7151.00
342_A346_I1.7051.00
24_V27_G1.7021.00
308_S313_C1.6711.00
108_L266_S1.6661.00
112_I267_F1.6621.00
239_G242_K1.6481.00
192_I369_A1.6461.00
326_Q336_A1.6311.00
401_V405_L1.6001.00
236_Y240_I1.5891.00
382_P386_R1.5841.00
43_F303_I1.5801.00
34_F341_A1.5721.00
34_F345_M1.5631.00
181_N184_D1.5591.00
158_K176_N1.5541.00
339_I343_I1.5471.00
111_I115_I1.5411.00
23_A26_V1.5401.00
114_L302_G1.5391.00
114_L299_I1.5251.00
56_V59_L1.5031.00
111_I306_I1.4791.00
37_I341_A1.4741.00
400_I404_I1.4461.00
406_G409_L1.4441.00
114_L306_I1.4371.00
379_C382_P1.4351.00
194_V198_V1.4331.00
171_V175_Q1.4291.00
396_V399_C1.4161.00
284_Y323_T1.4151.00
398_T414_G1.4141.00
221_I225_A1.4131.00
118_G299_I1.4101.00
62_G66_L1.4000.99
182_L186_T1.3980.99
330_G333_T1.3950.99
307_F311_F1.3920.99
195_C199_K1.3860.99
3_S331_G1.3830.99
34_F38_L1.3830.99
231_N234_K1.3810.99
122_G295_N1.3780.99
183_A186_T1.3780.99
192_I365_A1.3670.99
236_Y239_G1.3650.99
405_L409_L1.3640.99
39_T43_F1.3600.99
14_Q30_L1.3550.99
188_G365_A1.3510.99
165_S168_Y1.3450.99
190_L226_I1.3430.99
184_D361_S1.3320.99
289_D292_I1.3310.99
252_E255_P1.3290.99
94_R97_A1.3280.99
394_I399_C1.3260.99
243_S246_R1.3230.99
385_W389_K1.3130.99
3_S336_A1.3090.99
191_T365_A1.3070.99
179_D182_L1.3060.99
393_V397_F1.3020.99
388_N391_D1.2970.99
199_K373_G1.2930.99
238_A241_V1.2900.99
32_S311_F1.2760.99
48_H318_T1.2760.99
184_D188_G1.2740.99
223_A227_S1.2740.99
41_F337_G1.2730.99
385_W391_D1.2620.99
249_L252_E1.2600.99
189_L193_V1.2590.99
52_G56_V1.2550.99
339_I342_A1.2500.99
389_K393_V1.2480.99
63_S67_S1.2420.98
193_V197_A1.2380.98
117_G302_G1.2340.98
172_E175_Q1.2310.98
393_V396_V1.2310.98
10_V325_V1.2300.98
55_P59_L1.2250.98
53_P59_L1.2250.98
251_P254_P1.2170.98
141_A371_L1.2120.98
225_A228_Y1.2110.98
218_I222_I1.2070.98
116_F270_A1.2020.98
49_I52_G1.2010.98
192_I196_M1.2000.98
156_S159_N1.2000.98
395_W399_C1.1990.98
146_V170_L1.1930.98
191_T219_V1.1930.98
211_V214_P1.1880.98
112_I270_A1.1870.98
288_Y327_E1.1860.98
397_F401_V1.1830.98
97_A100_L1.1800.98
53_P57_V1.1750.98
112_I263_L1.1700.97
229_G232_L1.1700.97
8_G343_I1.1700.97
55_P58_S1.1690.97
242_K245_P1.1690.97
250_P253_L1.1670.97
394_I397_F1.1670.97
219_V223_A1.1640.97
5_V343_I1.1570.97
52_G322_R1.1560.97
23_A27_G1.1560.97
47_R51_V1.1550.97
157_T160_Y1.1540.97
237_N240_I1.1530.97
64_V265_A1.1460.97
49_I340_S1.1450.97
58_S314_F1.1400.97
303_I307_F1.1390.97
51_V54_F1.1340.97
194_V222_I1.1330.97
255_P258_L1.1300.97
142_F403_I1.1290.97
109_V113_Q1.1280.97
331_G334_Q1.1280.97
290_Y293_D1.1240.97
281_G297_E1.1240.97
196_M369_A1.1230.97
171_V174_F1.1230.97
151_I360_K1.1170.96
226_I229_G1.1170.96
392_A395_W1.1140.96
250_P254_P1.1100.96
244_I247_G1.1080.96
54_F58_S1.1060.96
191_T362_V1.1030.96
47_R50_S1.1030.96
338_I342_A1.1020.96
396_V400_I1.1010.96
108_L262_M1.0990.96
394_I398_T1.0960.96
241_V244_I1.0930.96
330_G334_Q1.0910.96
123_F126_R1.0880.96
383_R386_R1.0860.96
98_R101_I1.0860.96
168_Y172_E1.0850.96
51_V57_V1.0830.96
194_V219_V1.0800.95
24_V314_F1.0790.95
235_N238_A1.0790.95
185_F189_L1.0780.95
335_V339_I1.0760.95
115_I118_G1.0760.95
306_I310_F1.0750.95
182_L185_F1.0750.95
51_V59_L1.0750.95
191_T195_C1.0740.95
168_Y171_V1.0740.95
52_G59_L1.0690.95
105_L109_V1.0670.95
112_I266_S1.0660.95
106_T309_G1.0640.95
187_A223_A1.0620.95
174_F177_I1.0590.95
186_T189_L1.0580.95
224_T227_S1.0580.95
49_I53_P1.0560.95
346_I350_A1.0550.95
276_I280_V1.0540.95
11_A14_Q1.0520.95
383_R387_Q1.0510.94
191_T223_A1.0510.94
293_D296_Q1.0500.94
224_T357_P1.0480.94
131_P135_G1.0420.94
103_S309_G1.0410.94
145_L368_I1.0400.94
102_A106_T1.0390.94
110_G117_G1.0380.94
54_F59_L1.0350.94
198_V218_I1.0340.94
198_V215_I1.0320.94
134_G383_R1.0300.94
52_G55_P1.0290.94
66_L69_A1.0290.94
55_P60_M1.0240.93
172_E176_N1.0230.93
138_T399_C1.0230.93
65_V68_M1.0220.93
227_S232_L1.0210.93
50_S56_V1.0200.93
187_A227_S1.0190.93
42_I338_I1.0190.93
151_I364_A1.0190.93
393_V398_T1.0170.93
261_E264_A1.0160.93
116_F121_I1.0130.93
131_P391_D1.0130.93
243_S247_G1.0130.93
183_A232_L1.0130.93
13_L17_A1.0120.93
187_A230_A1.0110.93
306_I309_G1.0100.93
102_A105_L1.0080.93
64_V68_M1.0050.93
260_S264_A1.0050.93
190_L223_A1.0030.93
228_Y357_P1.0020.92
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  
3qe7A10.85711000.43Contact Map
1btsA10.0512.70.962Contact Map
4k0jA60.34523.70.97Contact Map
1colA20.13812.60.972Contact Map
1a87A10.14522.20.973Contact Map
3orgA40.56672.20.973Contact Map
4dx5A30.378620.974Contact Map
4b19A10.04761.80.975Contact Map
2mwrA10.05481.80.975Contact Map
2k1aA10.09291.40.976Contact 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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