GREMLIN Database
EMRK - Probable multidrug resistance protein EmrK
UniProt: P52599 Sequences:
Download Alignment
We filter this alignment to remove sites that have many gaps before running GREMLIN.

Date: 2015_01
EcoGene: EG13282
Length: 387 (296)
Sequences: 24010 (18495)
Seq/√Len: 1075.0

GREMLIN Results:

Legend: The darker and larger the blue dots, the higher coevolution strength.

Residue pairs sorted by coevolution strength:
i j Sco Prob
67_V84_S3.1421.00
81_I210_D2.9061.00
77_R216_T2.8101.00
283_T317_S2.7041.00
157_K161_I2.4101.00
69_N84_S2.3871.00
84_S210_D2.3621.00
264_S279_H2.3571.00
133_L137_N2.3491.00
139_R156_T2.3211.00
139_R148_I2.3121.00
160_L164_K2.2491.00
266_N277_V2.1681.00
77_R80_D2.1021.00
87_K91_T2.1011.00
60_Q208_R2.0931.00
266_N279_H2.0731.00
140_V144_K2.0691.00
98_K203_W2.0671.00
75_Y218_Y2.0671.00
143_A150_K1.9721.00
81_I212_K1.9521.00
69_N81_I1.9331.00
78_Q216_T1.9291.00
280_G316_V1.9131.00
140_V157_K1.9041.00
131_Q135_D1.9031.00
248_N313_P1.8691.00
31_A35_W1.8661.00
150_K154_E1.8591.00
246_W315_E1.8501.00
152_T155_H1.8421.00
133_L160_L1.8381.00
220_A240_V1.8181.00
136_Y140_V1.7921.00
101_L199_T1.7851.00
91_T95_N1.7521.00
129_Y160_L1.7521.00
51_T248_N1.7141.00
249_A336_A1.7121.00
133_L164_K1.7121.00
94_L203_W1.7061.00
136_Y153_L1.7031.00
126_R167_L1.6971.00
94_L98_K1.6601.00
143_A153_L1.6521.00
281_R319_D1.6441.00
95_N98_K1.6271.00
136_Y160_L1.6091.00
129_Y133_L1.6061.00
129_Y164_K1.5981.00
71_K74_N1.5931.00
161_I164_K1.5781.00
281_R317_S1.5711.00
249_A316_V1.5691.00
96_K198_A1.5661.00
264_S281_R1.5561.00
153_L157_K1.5511.00
94_L199_T1.5391.00
130_Q134_E1.5301.00
265_V316_V1.5231.00
135_D155_H1.5181.00
247_V334_M1.5111.00
91_T206_L1.5041.00
136_Y157_K1.5041.00
30_G34_Y1.5001.00
155_H159_T1.4951.00
31_A34_Y1.4671.00
129_Y167_L1.4661.00
164_K168_N1.4641.00
93_A96_K1.4571.00
284_G315_E1.4571.00
231_S234_Q1.4511.00
66_T86_D1.4491.00
289_T312_V1.4401.00
65_V224_V1.4241.00
193_V196_A1.4141.00
65_V83_V1.4141.00
159_T162_S1.4101.00
200_K203_W1.4101.00
201_E205_A1.4091.00
266_N339_D1.4031.00
98_K199_T1.4021.00
32_Y36_S1.4021.00
268_I337_T1.3911.00
244_Q317_S1.3791.00
66_T84_S1.3781.00
101_L196_A1.3721.00
123_A126_R1.3711.00
63_G85_L1.3701.00
81_I84_S1.3641.00
128_Q162_S1.3611.00
75_Y242_A1.3481.00
96_K100_N1.3481.00
132_S163_S1.3461.00
269_S334_M1.3331.00
126_R130_Q1.3311.00
140_V153_L1.3211.00
151_E155_H1.3021.00
93_A201_E1.3011.00
137_N141_P1.2991.00
16_Y20_L1.2961.00
54_A238_A1.2901.00
125_A170_A1.2851.00
199_T203_W1.2801.00
93_A205_A1.2761.00
141_P145_Q1.2761.00
250_N313_P1.2751.00
130_Q133_L1.2691.00
276_V327_P1.2681.00
219_I237_M1.2671.00
196_A200_K1.2591.00
266_N337_T1.2391.00
100_N103_N1.2381.00
322_E327_P1.2351.00
56_P238_A1.2311.00
141_P144_K1.2281.00
33_A37_M1.2211.00
70_H80_D1.2151.00
67_V226_V1.2131.00
137_N140_V1.2011.00
213_S239_V1.1971.00
130_Q161_I1.1941.00
53_N241_P1.1931.00
138_R154_E1.1861.00
204_L208_R1.1841.00
252_K255_Q1.1771.00
248_N315_E1.1751.00
83_V211_I1.1751.00
98_K102_A1.1741.00
241_P244_Q1.1621.00
62_S232_P1.1561.00
29_S33_A1.1521.00
203_W207_K1.1491.00
166_A169_A1.1471.00
135_D151_E1.1411.00
95_N200_K1.1401.00
94_L206_L1.1251.00
191_Q194_E1.1181.00
268_I277_V1.1161.00
221_Q238_A1.1141.00
56_P235_S1.1101.00
82_L237_M1.1051.00
154_E157_K1.0991.00
159_T163_S1.0951.00
124_S166_A1.0841.00
134_E154_E1.0821.00
128_Q131_Q1.0751.00
90_A209_T1.0731.00
60_Q64_S1.0721.00
125_A128_Q1.0681.00
55_D215_V1.0601.00
157_K160_L1.0531.00
135_D139_R1.0451.00
125_A163_S1.0411.00
87_K209_T1.0371.00
131_Q158_D1.0331.00
34_Y37_M1.0321.00
217_G239_V1.0321.00
122_V126_R1.0271.00
357_S362_T1.0191.00
162_S166_A1.0061.00
131_Q155_H1.0021.00
222_R225_Q1.0001.00
286_N313_P0.9981.00
72_D221_Q0.9951.00
59_A211_I0.9911.00
87_K210_D0.9901.00
260_R263_Q0.9751.00
64_S229_T0.9661.00
230_V236_L0.9631.00
88_T204_L0.9581.00
279_H319_D0.9571.00
121_E124_S0.9561.00
50_V247_V0.9511.00
100_N198_A0.9471.00
28_F32_Y0.9461.00
128_Q166_A0.9441.00
247_V267_I0.9421.00
75_Y216_T0.9381.00
70_H237_M0.9371.00
146_G150_K0.9321.00
68_V226_V0.9291.00
198_A201_E0.9291.00
246_W317_S0.9231.00
83_V237_M0.9221.00
282_V314_V0.9201.00
71_K222_R0.9191.00
34_Y38_E0.9171.00
100_N194_E0.9161.00
268_I335_T0.9161.00
267_I318_L0.9141.00
124_S128_Q0.9081.00
139_R152_T0.9051.00
89_D205_A0.9031.00
122_V167_L0.9031.00
74_N80_D0.9011.00
251_F314_V0.8991.00
134_E137_N0.8941.00
246_W283_T0.8941.00
83_V236_L0.8931.00
204_L207_K0.8911.00
264_S339_D0.8851.00
45_T337_T0.8801.00
43_I337_T0.8781.00
189_Q193_V0.8761.00
65_V230_V0.8751.00
119_S123_A0.8731.00
192_V196_A0.8681.00
156_T159_T0.8611.00
213_S216_T0.8551.00
93_A97_A0.8551.00
62_S231_S0.8511.00
101_L192_V0.8501.00
268_I274_E0.8501.00
68_V83_V0.8481.00
83_V222_R0.8431.00
84_S87_K0.8411.00
166_A170_A0.8401.00
223_S238_A0.8391.00
343_E346_A0.8391.00
251_F259_V0.8381.00
45_T335_T0.8361.00
339_D342_N0.8351.00
256_L312_V0.8351.00
269_S272_Y0.8331.00
282_V316_V0.8321.00
48_A247_V0.8311.00
247_V336_A0.8271.00
103_N191_Q0.8221.00
92_I204_L0.8221.00
349_P363_S0.8171.00
92_I197_D0.8151.00
99_N197_D0.8141.00
152_T156_T0.8141.00
148_I152_T0.8121.00
194_E198_A0.8081.00
197_D200_K0.8061.00
272_Y276_V0.8041.00
128_Q132_S0.7981.00
126_R129_Y0.7941.00
143_A148_I0.7931.00
57_I214_P0.7891.00
355_V362_T0.7871.00
33_A36_S0.7861.00
128_Q159_T0.7851.00
59_A230_V0.7821.00
27_A31_A0.7801.00
62_S229_T0.7751.00
35_W38_E0.7731.00
150_K153_L0.7701.00
128_Q163_S0.7701.00
66_T69_N0.7701.00
267_I280_G0.7691.00
93_A202_A0.7681.00
290_G293_F0.7671.00
70_H219_I0.7651.00
91_T94_L0.7651.00
97_A202_A0.7601.00
50_V245_M0.7591.00
163_S166_A0.7591.00
66_T87_K0.7581.00
90_A94_L0.7561.00
250_N311_R0.7561.00
222_R237_M0.7531.00
36_S39_L0.7521.00
98_K101_L0.7521.00
158_D162_S0.7511.00
97_A100_N0.7501.00
94_L202_A0.7491.00
191_Q195_A0.7481.00
259_V338_I0.7481.00
163_S167_L0.7471.00
32_Y35_W0.7461.00
75_Y326_H0.7461.00
267_I316_V0.7391.00
59_A83_V0.7361.00
202_A205_A0.7331.00
64_S86_D0.7321.00
53_N225_Q0.7291.00
125_A166_A0.7281.00
20_L24_L0.7271.00
70_H222_R0.7261.00
96_K201_E0.7191.00
17_F21_A0.7171.00
60_Q89_D0.7161.00
273_G276_V0.7161.00
290_G313_P0.7071.00
78_Q214_P0.7071.00
89_D93_A0.7071.00
140_V143_A0.7051.00
16_Y19_L0.7011.00
251_F338_I0.7011.00
38_E41_D0.7001.00
207_K212_K0.6991.00
90_A93_A0.6991.00
87_K206_L0.6991.00
121_E169_A0.6971.00
249_A338_I0.6971.00
52_G244_Q0.6971.00
121_E125_A0.6961.00
267_I334_M0.6951.00
102_A193_V0.6941.00
30_G33_A0.6931.00
76_V82_L0.6901.00
44_S48_A0.6901.00
132_S156_T0.6871.00
24_L28_F0.6861.00
218_Y242_A0.6831.00
272_Y278_F0.6831.00
72_D222_R0.6821.00
18_S22_V0.6821.00
223_S235_S0.6811.00
132_S159_T0.6801.00
245_M330_I0.6801.00
15_K18_S0.6781.00
118_Y121_E0.6771.00
255_Q258_D0.6731.00
143_A146_G0.6731.00
118_Y170_A0.6731.00
103_N166_A0.6681.00
196_A199_T0.6661.00
215_V239_V0.6651.00
97_A101_L0.6641.00
57_I237_M0.6611.00
92_I95_N0.6611.00
97_A195_A0.6601.00
120_A123_A0.6591.00
61_V90_A0.6511.00
59_A62_S0.6501.00
127_I131_Q0.6491.00
278_F322_E0.6441.00
135_D156_T0.6431.00
247_V318_L0.6411.00
15_K19_L0.6401.00
59_A236_L0.6401.00
205_A208_R0.6391.00
164_K167_L0.6381.00
320_P326_H0.6311.00
52_G246_W0.6301.00
271_L332_L0.6301.00
131_Q134_E0.6291.00
119_S122_V0.6281.00
29_S32_Y0.6281.00
17_F20_L0.6271.00
35_W39_L0.6261.00
95_N99_N0.6231.00
90_A202_A0.6231.00
37_M40_E0.6211.00
207_K210_D0.6191.00
195_A199_T0.6141.00
19_L23_V0.6131.00
259_V282_V0.6121.00
61_V205_A0.6121.00
200_K204_L0.6111.00
150_K157_K0.6111.00
50_V328_L0.6111.00
131_Q159_T0.6081.00
29_S34_Y0.6071.00
161_I165_A0.6071.00
54_A240_V0.6051.00
70_H74_N0.6051.00
262_G281_R0.6041.00
283_T315_E0.6041.00
132_S135_D0.6011.00
139_R151_E0.6001.00
165_A168_N0.5991.00
329_R332_L0.5981.00
195_A198_A0.5981.00
235_S238_A0.5971.00
23_V27_A0.5971.00
211_I236_L0.5971.00
129_Y163_S0.5971.00
135_D159_T0.5941.00
125_A167_L0.5931.00
137_N160_L0.5901.00
263_Q340_T0.5901.00
58_S229_T0.5841.00
94_L97_A0.5811.00
127_I130_Q0.5791.00
355_V364_K0.5771.00
49_Y248_N0.5741.00
349_P353_S0.5711.00
148_I153_L0.5711.00
201_E204_L0.5701.00
189_Q192_V0.5681.00
261_I285_I0.5681.00
59_A85_L0.5671.00
261_I283_T0.5661.00
265_V280_G0.5661.00
270_D335_T0.5641.00
72_D315_E0.5621.00
151_E154_E0.5611.00
240_V330_I0.5611.00
154_E158_D0.5581.00
89_D208_R0.5561.00
56_P228_E0.5561.00
89_D204_L0.5551.00
99_N102_A0.5541.00
52_G241_P0.5531.00
88_T207_K0.5531.00
139_R143_A0.5521.00
28_F34_Y0.5511.00
55_D214_P0.5471.00
36_S40_E0.5451.00
123_A127_I0.5451.00
55_D239_V0.5451.00
122_V170_A0.5441.00
68_V222_R0.5431.00
267_I336_A0.5431.00
265_V338_I0.5421.00
52_G317_S0.5421.00
316_V336_A0.5411.00
351_L354_T0.5401.00
61_V208_R0.5401.00
79_G212_K0.5401.00
118_Y122_V0.5391.00
35_W40_E0.5371.00
65_V236_L0.5371.00
19_L22_V0.5341.00
48_A334_M0.5311.00
51_T246_W0.5281.00
249_A314_V0.5281.00
350_E353_S0.5271.00
121_E166_A0.5241.00
134_E138_R0.5241.00
149_S152_T0.5211.00
251_F336_A0.5191.00
66_T226_V0.5181.00
158_D161_I0.5161.00
73_T284_G0.5141.00
224_V228_E0.5141.00
92_I201_E0.5131.00
147_V151_E0.5121.00
138_R151_E0.5111.00
336_A339_D0.5111.00
55_D59_A0.5101.00
202_A206_L0.5061.00
190_P193_V0.5041.00
198_A202_A0.5041.00
100_N191_Q0.5031.00
69_N80_D0.5021.00
228_E234_Q0.5021.00
312_V332_L0.5001.00
Legend: The i and j are positions as given in the UniProt sequence. Only predictions with Prob ≥ 0.7 are listed. For all 3L/2 predictions, click on one of the links below.

Sco = ((raw_sco - min_sco)/(avg_sco - min_sco))/2 + 0.5
Prob = P(contact | Sco, seq80/√len)
seq80 = effective number of sequences, after reducing redundancy to 80% identity

HHsearch Results:
Legend: GREMLIN results (Prob ≥ 0.7) overlaid on top PDB hits. The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on the top 10 (or top 20 if e-value < 1E-20) HHsearch results which uses the overall probability and per-site alignment prob. Inter oligomeric contacts in the pdb are in shades of red.
PDB Chains Cov % HHΔ  
4dk0A 5 0.7855 100 0.334 Contact Map
3fppA 3 0.6796 100 0.337 Contact Map
4tkoB 1 0.7235 100 0.365 Contact Map
3lnnA 6 0.814 100 0.37 Contact Map
1vf7A 5 0.5814 100 0.401 Contact Map
4l8jA 2 0.7287 100 0.416 Contact Map
2f1mA 2 0.6021 100 0.421 Contact Map
3ne5B 3 0.6693 100 0.423 Contact Map
4kkuA 1 0.5762 100 0.474 Contact Map
2k32A 1 0.2972 99.8 0.694 Contact Map

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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