GREMLIN Database
Q9HS01 - Uncharacterized protein
UniProt: Q9HS01 Sequences:
Download Alignment
We filter this alignment to remove sites that have many gaps before running GREMLIN.

Date: 2015_01
Length: 410 (334)
Sequences: 26615 (20214)
Seq/√Len: 1106.0

GREMLIN Results:

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

Residue pairs sorted by coevolution strength:
i j Sco Prob
31_V113_R3.9631.00
35_A117_R3.6701.00
15_A302_C3.6091.00
6_D142_D3.2181.00
333_D337_H3.2091.00
6_D29_D3.1921.00
8_I141_G3.1741.00
120_N157_K2.6981.00
19_C145_I2.6221.00
5_H31_V2.5911.00
65_D103_A2.5261.00
33_L139_V2.5061.00
8_I33_L2.4851.00
104_A107_Q2.4511.00
22_D310_A2.4421.00
116_A135_G2.4371.00
26_R314_D2.4111.00
85_Q88_P2.2991.00
122_I130_G2.1801.00
99_Q103_A2.1721.00
120_N132_K2.1221.00
15_A284_I2.1131.00
8_I131_V2.0791.00
18_Q303_M2.0601.00
312_T335_L2.0471.00
117_R134_D2.0391.00
146_D154_L2.0311.00
130_G138_E2.0091.00
132_K138_E1.9961.00
113_R116_A1.9811.00
130_G140_Y1.9631.00
29_D111_E1.9451.00
7_V28_Y1.9361.00
235_A238_S1.9271.00
240_D244_D1.9211.00
104_A108_Q1.9051.00
277_S330_S1.8711.00
147_A284_I1.8161.00
146_D283_A1.7831.00
21_R104_A1.7731.00
121_P144_I1.7681.00
56_M307_R1.7681.00
58_G63_P1.7631.00
65_D104_A1.7461.00
116_A133_Y1.7231.00
124_E140_Y1.7001.00
337_H341_A1.6881.00
105_G110_A1.6841.00
277_S282_M1.6791.00
37_P115_E1.6711.00
306_A310_A1.6651.00
7_V23_L1.6631.00
275_N278_T1.6491.00
312_T331_I1.6401.00
8_I139_V1.6341.00
122_I132_K1.6291.00
53_F300_H1.6231.00
24_A110_A1.6011.00
31_V139_V1.5971.00
177_E257_T1.5961.00
123_T278_T1.5901.00
143_I329_L1.5811.00
20_A32_V1.5761.00
6_D31_V1.5701.00
65_D68_M1.5671.00
64_D68_M1.5661.00
308_A312_T1.5651.00
118_V131_V1.5641.00
28_Y314_D1.5601.00
305_S336_W1.5441.00
133_Y136_D1.5431.00
65_D107_Q1.5351.00
148_T152_A1.5211.00
25_E108_Q1.5041.00
124_E127_E1.4991.00
145_I284_I1.4931.00
127_E140_Y1.4811.00
311_I335_L1.4731.00
133_Y139_V1.4701.00
276_F333_D1.4621.00
119_N134_D1.4581.00
102_V114_F1.4551.00
308_A335_L1.4511.00
19_C306_A1.4441.00
276_F340_V1.4331.00
238_S241_D1.4261.00
304_E339_R1.4241.00
158_L281_F1.4231.00
275_N333_D1.4191.00
282_M309_A1.4061.00
59_A307_R1.4021.00
270_I348_L1.3821.00
256_A259_L1.3711.00
153_P157_K1.3651.00
119_N132_K1.3521.00
9_V19_C1.3521.00
21_R25_E1.3481.00
237_K241_D1.3471.00
33_L133_Y1.3471.00
241_D245_Y1.3471.00
21_R105_G1.3381.00
124_E130_G1.3361.00
14_P299_I1.3341.00
312_T328_A1.3261.00
289_P305_S1.2981.00
81_E84_V1.2971.00
145_I282_M1.2961.00
133_Y137_E1.2951.00
237_K240_D1.2931.00
22_D60_F1.2791.00
6_D28_Y1.2781.00
118_V154_L1.2721.00
21_R108_Q1.2701.00
102_V106_E1.2671.00
53_F303_M1.2511.00
5_H8_I1.2491.00
255_D258_K1.2421.00
63_P67_V1.2401.00
10_A154_L1.2351.00
19_C284_I1.2271.00
160_V273_P1.2191.00
8_I31_V1.2171.00
69_Q96_E1.2151.00
103_A106_E1.2101.00
141_G144_I1.2101.00
113_R139_V1.2021.00
19_C23_L1.2011.00
277_S333_D1.2001.00
177_E216_T1.1861.00
153_P156_K1.1821.00
236_S240_D1.1761.00
10_A118_V1.1721.00
198_D202_A1.1701.00
241_D244_D1.1691.00
118_V121_P1.1681.00
123_T280_N1.1631.00
240_D243_L1.1551.00
253_L256_A1.1521.00
181_V185_G1.1511.00
12_A17_A1.1501.00
122_I138_E1.1451.00
64_D67_V1.1451.00
96_E99_Q1.1421.00
234_D238_S1.1401.00
312_T315_R1.1341.00
24_A108_Q1.1291.00
171_G175_E1.1241.00
10_A148_T1.1181.00
47_K299_I1.1081.00
129_V280_N1.1081.00
239_I243_L1.1031.00
31_V111_E1.1001.00
33_L113_R1.1001.00
18_Q60_F1.0961.00
39_D114_F1.0801.00
116_A137_E1.0791.00
78_S82_Y1.0791.00
102_V112_Y1.0761.00
33_L116_A1.0701.00
254_A258_K1.0701.00
171_G174_W1.0701.00
253_L257_T1.0661.00
121_P157_K1.0601.00
181_V184_E1.0591.00
284_I332_Y1.0531.00
25_E104_A1.0451.00
10_A144_I1.0411.00
44_Q47_K1.0401.00
150_P290_T1.0351.00
18_Q22_D1.0271.00
65_D100_W1.0221.00
59_A311_I1.0181.00
121_P158_L1.0161.00
9_V20_A1.0131.00
182_D185_G1.0131.00
291_V301_K1.0121.00
277_S326_A1.0061.00
93_E96_E0.9991.00
9_V30_V0.9991.00
65_D69_Q0.9981.00
69_Q99_Q0.9981.00
282_M332_Y0.9951.00
5_H29_D0.9831.00
45_S48_S0.9821.00
291_V344_A0.9811.00
32_V112_Y0.9801.00
24_A109_G0.9781.00
331_I334_D0.9761.00
70_Y90_A0.9741.00
161_T274_A0.9701.00
54_A63_P0.9681.00
62_V100_W0.9661.00
30_V110_A0.9661.00
242_H246_W0.9611.00
62_V104_A0.9591.00
243_L246_W0.9491.00
174_W219_V0.9481.00
66_V100_W0.9431.00
20_A30_V0.9421.00
21_R60_F0.9401.00
251_P254_A0.9371.00
315_R331_I0.9361.00
118_V153_P0.9321.00
208_W220_G0.9261.00
163_L274_A0.9251.00
118_V157_K0.9251.00
12_A34_E0.9221.00
236_S263_Q0.9201.00
5_H111_E0.9191.00
173_E177_E0.9181.00
172_I175_E0.9161.00
17_A105_G0.9151.00
308_A311_I0.9121.00
105_G109_G0.9111.00
330_S334_D0.9101.00
103_A107_Q0.9081.00
28_Y317_F0.9081.00
52_T304_E0.9081.00
273_P283_A0.9041.00
283_A287_T0.9031.00
239_I242_H0.9011.00
146_D281_F0.8981.00
348_L352_Q0.8921.00
52_T297_E0.8901.00
271_Q290_T0.8841.00
14_P303_M0.8791.00
278_T281_F0.8731.00
160_V278_T0.8701.00
341_A345_R0.8691.00
123_T279_D0.8641.00
234_D237_K0.8621.00
57_M62_V0.8561.00
66_V97_F0.8521.00
52_T55_S0.8521.00
34_E114_F0.8491.00
17_A102_V0.8471.00
318_M323_D0.8461.00
248_E251_P0.8451.00
27_G30_V0.8441.00
113_R137_E0.8401.00
158_L278_T0.8381.00
277_S329_L0.8371.00
55_S58_G0.8351.00
69_Q100_W0.8341.00
121_P281_F0.8281.00
54_A90_A0.8281.00
123_T129_V0.8261.00
145_I309_A0.8251.00
232_F235_A0.8241.00
252_R255_D0.8181.00
254_A257_T0.8131.00
106_E109_G0.8061.00
50_A53_F0.7981.00
23_L310_A0.7971.00
276_F337_H0.7971.00
23_L28_Y0.7941.00
31_V141_G0.7931.00
17_A98_K0.7921.00
33_L141_G0.7911.00
319_G325_S0.7901.00
100_W104_A0.7881.00
154_L281_F0.7881.00
106_E111_E0.7861.00
331_I335_L0.7851.00
24_A105_G0.7801.00
22_D26_R0.7781.00
250_D254_A0.7741.00
310_A314_D0.7731.00
295_W347_R0.7731.00
24_A111_E0.7731.00
255_D259_L0.7721.00
33_L131_V0.7721.00
116_A134_D0.7711.00
48_S89_G0.7711.00
49_T53_F0.7671.00
121_P154_L0.7671.00
96_E213_G0.7621.00
127_E130_G0.7621.00
6_D141_G0.7621.00
316_C319_G0.7561.00
6_D139_V0.7551.00
177_E215_D0.7541.00
38_E114_F0.7541.00
251_P255_D0.7531.00
58_G67_V0.7491.00
316_C331_I0.7481.00
268_A292_D0.7461.00
24_A30_V0.7441.00
244_D247_M0.7441.00
42_P45_S0.7431.00
319_G323_D0.7431.00
24_A106_E0.7381.00
243_L247_M0.7361.00
22_D25_E0.7331.00
326_A330_S0.7321.00
276_F288_V0.7251.00
242_H245_Y0.7251.00
131_V141_G0.7241.00
57_M303_M0.7231.00
146_D158_L0.7221.00
299_I303_M0.7221.00
93_E213_G0.7211.00
193_M196_R0.7211.00
52_T339_R0.7211.00
289_P336_W0.7181.00
224_I227_E0.7171.00
94_F98_K0.7171.00
100_W103_A0.7171.00
98_K102_V0.7161.00
152_A155_A0.7161.00
231_R235_A0.7121.00
236_S239_I0.7121.00
23_L313_A0.7111.00
75_V83_F0.7101.00
283_A288_V0.7101.00
218_K222_C0.7071.00
26_R310_A0.7071.00
291_V295_W0.7061.00
195_L198_D0.7011.00
335_L338_K0.6991.00
143_I282_M0.6981.00
20_A110_A0.6971.00
194_M197_L0.6971.00
304_E336_W0.6931.00
235_A239_I0.6921.00
146_D152_A0.6891.00
131_V144_I0.6851.00
134_D137_E0.6851.00
75_V78_S0.6841.00
301_K343_N0.6841.00
58_G64_D0.6821.00
146_D153_P0.6771.00
43_R47_K0.6741.00
168_Q172_I0.6741.00
299_I302_C0.6711.00
167_N348_L0.6711.00
63_P66_V0.6671.00
324_T328_A0.6671.00
29_D142_D0.6661.00
176_M219_V0.6661.00
50_A300_H0.6651.00
92_L97_F0.6641.00
22_D56_M0.6611.00
144_I281_F0.6601.00
17_A32_V0.6591.00
169_A173_E0.6581.00
227_E230_Q0.6561.00
297_E301_K0.6551.00
272_L337_H0.6541.00
238_S247_M0.6521.00
239_I246_W0.6511.00
297_E300_H0.6501.00
230_Q233_G0.6501.00
19_C313_A0.6491.00
20_A105_G0.6491.00
338_K342_P0.6481.00
170_I174_W0.6461.00
30_V105_G0.6461.00
8_I129_V0.6451.00
340_V344_A0.6451.00
325_S328_A0.6451.00
18_Q101_L0.6401.00
290_T305_S0.6401.00
154_L157_K0.6371.00
307_R311_I0.6341.00
54_A58_G0.6321.00
327_D331_I0.6291.00
56_M60_F0.6271.00
73_D192_A0.6261.00
291_V347_R0.6251.00
190_S193_M0.6231.00
272_L341_A0.6221.00
47_K94_F0.6211.00
316_C328_A0.6201.00
69_Q92_L0.6191.00
117_R153_P0.6191.00
235_A240_D0.6191.00
334_D338_K0.6191.00
294_L351_T0.6181.00
301_K340_V0.6171.00
263_Q266_G0.6151.00
155_A283_A0.6151.00
330_S333_D0.6111.00
284_I306_A0.6091.00
272_L276_F0.6081.00
194_M198_D0.6081.00
233_G237_K0.6051.00
230_Q242_H0.6051.00
105_G112_Y0.6041.00
168_Q171_G0.6041.00
279_D326_A0.6031.00
19_C310_A0.6031.00
129_V132_K0.6001.00
77_E80_H0.5951.00
67_V70_Y0.5931.00
22_D307_R0.5921.00
93_E216_T0.5921.00
5_H139_V0.5921.00
77_E81_E0.5921.00
193_M198_D0.5861.00
173_E218_K0.5861.00
193_M197_L0.5861.00
282_M329_L0.5841.00
17_A112_Y0.5831.00
123_T127_E0.5821.00
21_R24_A0.5811.00
142_D317_F0.5801.00
170_I225_Q0.5801.00
143_I317_F0.5791.00
316_C327_D0.5791.00
106_E110_A0.5771.00
314_D318_M0.5751.00
77_E83_F0.5731.00
207_S221_I0.5731.00
28_Y313_A0.5721.00
233_G238_S0.5701.00
319_G324_T0.5681.00
122_I125_G0.5661.00
286_D296_G0.5661.00
208_W212_T0.5651.00
7_V143_I0.5641.00
7_V19_C0.5641.00
234_D242_H0.5621.00
144_I280_N0.5621.00
129_V144_I0.5611.00
239_I263_Q0.5611.00
286_D302_C0.5601.00
324_T327_D0.5601.00
115_E135_G0.5581.00
162_D271_Q0.5571.00
56_M59_A0.5561.00
126_G280_N0.5551.00
21_R110_A0.5551.00
75_V82_Y0.5551.00
345_R349_T0.5541.00
166_S170_I0.5541.00
282_M333_D0.5531.00
143_I313_A0.5521.00
219_V222_C0.5521.00
311_I315_R0.5511.00
295_W350_M0.5511.00
230_Q234_D0.5501.00
53_F56_M0.5501.00
151_A156_K0.5491.00
166_S269_H0.5481.00
327_D330_S0.5481.00
167_N172_I0.5481.00
105_G108_Q0.5451.00
144_I154_L0.5441.00
206_Y210_F0.5421.00
12_A39_D0.5411.00
304_E308_A0.5411.00
38_E41_F0.5401.00
191_D194_M0.5401.00
48_S91_V0.5391.00
245_Y248_E0.5391.00
30_V109_G0.5391.00
350_M353_L0.5361.00
240_D258_K0.5351.00
143_I316_C0.5341.00
238_S242_H0.5311.00
266_G271_Q0.5291.00
148_T154_L0.5281.00
218_K221_I0.5281.00
247_M251_P0.5241.00
289_P297_E0.5241.00
78_S81_E0.5241.00
174_W177_E0.5231.00
172_I176_M0.5231.00
169_A176_M0.5231.00
251_P257_T0.5211.00
165_R168_Q0.5211.00
217_A220_G0.5211.00
219_V223_Y0.5201.00
233_G242_H0.5181.00
75_V84_V0.5171.00
284_I302_C0.5161.00
148_T283_A0.5161.00
57_M66_V0.5161.00
238_S243_L0.5161.00
19_C22_D0.5151.00
142_D280_N0.5151.00
210_F220_G0.5151.00
308_A332_Y0.5141.00
10_A121_P0.5131.00
74_V77_E0.5121.00
234_D239_I0.5111.00
143_I325_S0.5101.00
115_E134_D0.5101.00
232_F236_S0.5091.00
170_I265_R0.5081.00
302_C306_A0.5081.00
325_S329_L0.5071.00
235_A243_L0.5071.00
250_D253_L0.5061.00
30_V111_E0.5051.00
253_L258_K0.5021.00
15_A145_I0.5021.00
205_G245_Y0.5021.00
236_S243_L0.5021.00
26_R311_I0.5001.00
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  
1pn0A 3 0.939 100 0.369 Contact Map
2qa1A 2 0.9049 100 0.375 Contact Map
4k22A 4 0.8244 100 0.376 Contact Map
2qa2A 2 0.9122 100 0.379 Contact Map
4bjzA 2 0.9122 100 0.38 Contact Map
2dkhA 2 0.9073 100 0.384 Contact Map
4n9xA 5 0.8634 100 0.387 Contact Map
4k5sA 2 0.9049 100 0.39 Contact Map
3ihgA 3 0.9439 100 0.391 Contact Map
3c96A 1 0.8439 100 0.392 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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