GREMLIN Database
Q9HQE9 - Uncharacterized protein
UniProt: Q9HQE9 Sequences:
Download Alignment
We filter this alignment to remove sites that have many gaps before running GREMLIN.

Date: 2015_01
Length: 414 (322)
Sequences: 17715 (14880)
Seq/√Len: 829.3

GREMLIN Results:

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

Residue pairs sorted by coevolution strength:
i j Sco Prob
261_I296_G3.5331.00
338_A387_A3.4361.00
216_L235_A3.3811.00
377_T389_E3.2751.00
173_L177_T2.8621.00
349_S378_V2.8581.00
332_S391_A2.7641.00
381_S384_G2.6871.00
366_H370_R2.6311.00
339_D343_G2.6061.00
345_D348_D2.6051.00
336_R387_A2.5841.00
260_A295_R2.5411.00
334_T391_A2.5371.00
286_D323_A2.5131.00
296_G372_F2.5081.00
325_S336_R2.3761.00
286_D321_R2.3701.00
288_P325_S2.3431.00
334_T389_E2.3391.00
259_A298_E2.3171.00
323_A338_A2.3091.00
220_R236_D2.2901.00
315_N340_N2.2481.00
220_R233_D2.2311.00
365_V376_V2.1661.00
336_R389_E2.1511.00
344_L348_D2.1491.00
269_S301_N2.1241.00
213_S239_V2.1151.00
378_V388_F2.0971.00
369_V390_V2.0631.00
303_V369_V2.0621.00
325_S338_A2.0421.00
284_S321_R2.0321.00
173_L176_M2.0211.00
159_A162_E2.0201.00
262_D265_T2.0191.00
159_A163_T2.0131.00
379_A387_A1.9741.00
380_D386_T1.9461.00
303_V365_V1.9101.00
327_A334_T1.9051.00
288_P323_A1.9051.00
369_V374_G1.8751.00
274_V305_R1.8491.00
349_S380_D1.8341.00
320_P340_N1.8251.00
321_R340_N1.8001.00
353_F376_V1.7871.00
328_V394_R1.7711.00
184_I188_T1.7611.00
375_T391_A1.7551.00
260_A293_R1.7411.00
152_A156_F1.7391.00
192_E196_L1.7341.00
327_A336_R1.7081.00
213_S240_S1.6991.00
174_R177_T1.6701.00
346_V349_S1.6611.00
335_V390_V1.6581.00
303_V368_A1.6431.00
275_T279_P1.6141.00
258_A295_R1.5941.00
125_D128_G1.5911.00
304_F335_V1.5641.00
380_D384_G1.5471.00
379_A389_E1.5391.00
220_R229_R1.5311.00
370_R375_T1.5251.00
296_G300_L1.5161.00
344_L352_F1.5091.00
329_E334_T1.5011.00
152_A155_D1.5011.00
217_Q236_D1.4981.00
219_A232_L1.4971.00
345_D382_D1.4951.00
315_N320_P1.4791.00
177_T180_L1.4611.00
368_A372_F1.4601.00
212_L239_V1.4501.00
215_R231_H1.4471.00
225_A228_V1.4421.00
184_I187_I1.4361.00
155_D159_A1.4291.00
348_D351_S1.3961.00
180_L184_I1.3931.00
106_H111_D1.3891.00
243_E247_D1.3791.00
216_L236_D1.3781.00
176_M180_L1.3771.00
181_D184_I1.3731.00
236_D240_S1.3531.00
158_A161_L1.3451.00
351_S354_Q1.3371.00
299_L302_S1.3271.00
278_Y312_V1.3191.00
264_V326_V1.3141.00
377_T391_A1.3091.00
219_A228_V1.3091.00
148_A152_A1.3061.00
315_N322_V1.3051.00
86_V90_E1.3041.00
180_L183_Y1.2951.00
289_S326_V1.2901.00
224_D228_V1.2751.00
222_Q228_V1.2701.00
380_D383_L1.2661.00
155_D158_A1.2621.00
145_A149_E1.2591.00
344_L386_T1.2551.00
144_V148_A1.2491.00
256_D297_N1.2471.00
262_D293_R1.2451.00
188_T191_R1.2341.00
264_V268_D1.2281.00
158_A162_E1.2271.00
233_D237_R1.2251.00
309_T313_E1.2101.00
299_L368_A1.2091.00
123_Q128_G1.2081.00
212_L235_A1.2071.00
177_T181_D1.2041.00
215_R234_V1.1821.00
213_S243_E1.1711.00
186_R189_A1.1691.00
333_V394_R1.1691.00
183_Y187_I1.1681.00
148_A151_L1.1641.00
205_V242_I1.1621.00
194_S198_N1.1571.00
176_M179_S1.1551.00
216_L239_V1.1511.00
274_V308_I1.1501.00
277_S280_D1.1501.00
216_L220_R1.1461.00
181_D185_D1.1441.00
271_V287_L1.1391.00
269_S298_E1.1331.00
211_V238_Q1.1321.00
124_Q128_G1.1171.00
332_S393_P1.1061.00
158_A163_T1.1011.00
332_S375_T1.0991.00
306_N365_V1.0911.00
299_L371_T1.0871.00
273_R305_R1.0841.00
183_Y186_R1.0791.00
230_D234_V1.0791.00
93_I96_P1.0641.00
179_S183_Y1.0541.00
258_A372_F1.0431.00
211_V215_R1.0421.00
262_D292_C1.0391.00
268_D287_L1.0391.00
174_R178_A1.0381.00
111_D114_A1.0291.00
101_Q129_A1.0211.00
256_D299_L1.0191.00
303_V390_V1.0161.00
156_F159_A1.0151.00
258_A296_G1.0011.00
178_A181_D1.0001.00
300_L372_F0.9971.00
90_E94_V0.9921.00
101_Q105_T0.9891.00
141_L144_V0.9841.00
295_R395_D0.9801.00
298_E301_N0.9741.00
353_F378_V0.9721.00
355_H367_T0.9631.00
311_A322_V0.9621.00
197_L201_V0.9621.00
267_L326_V0.9561.00
367_T370_R0.9541.00
142_R146_A0.9531.00
179_S182_R0.9481.00
344_L378_V0.9421.00
216_L232_L0.9411.00
274_V312_V0.9301.00
209_V246_C0.9291.00
270_E308_I0.9271.00
261_I266_L0.9251.00
145_A148_A0.9251.00
264_V289_S0.9241.00
352_F378_V0.9231.00
201_V249_V0.9201.00
302_S368_A0.9171.00
271_V275_T0.9161.00
229_R233_D0.9151.00
301_N305_R0.9101.00
323_A340_N0.9061.00
339_D385_G0.9031.00
128_G131_V0.9001.00
234_V238_Q0.8981.00
178_A182_R0.8941.00
329_E391_A0.8841.00
151_L155_D0.8831.00
369_V376_V0.8761.00
141_L145_A0.8751.00
104_A133_D0.8721.00
270_E301_N0.8711.00
266_L296_G0.8701.00
307_L390_V0.8671.00
182_R186_R0.8671.00
149_E152_A0.8621.00
176_M184_I0.8591.00
176_M183_Y0.8591.00
237_R269_S0.8571.00
374_G392_L0.8551.00
292_C333_V0.8481.00
266_L270_E0.8471.00
154_H158_A0.8471.00
185_D188_T0.8421.00
365_V369_V0.8401.00
175_R179_S0.8381.00
270_E305_R0.8361.00
369_V392_L0.8341.00
215_R235_A0.8311.00
344_L349_S0.8271.00
268_D272_A0.8271.00
191_R194_S0.8261.00
304_F308_I0.8191.00
214_G218_L0.8171.00
151_L154_H0.8171.00
346_V381_S0.8151.00
238_Q241_K0.8121.00
254_R358_V0.8101.00
247_D251_K0.8091.00
207_N211_V0.8071.00
204_D302_S0.8031.00
104_A108_A0.8031.00
131_V135_A0.8031.00
200_L355_H0.7991.00
135_A138_H0.7981.00
98_T101_Q0.7961.00
241_K301_N0.7961.00
256_D371_T0.7871.00
140_H144_V0.7841.00
96_P100_L0.7801.00
105_T109_E0.7801.00
138_H141_L0.7791.00
186_R190_D0.7761.00
107_I138_H0.7741.00
231_H235_A0.7711.00
103_A118_P0.7691.00
203_H306_N0.7681.00
203_H207_N0.7651.00
307_L388_F0.7621.00
104_A107_I0.7611.00
207_N214_G0.7611.00
111_D115_G0.7591.00
100_L104_A0.7571.00
307_L376_V0.7561.00
91_R95_D0.7541.00
256_D372_F0.7541.00
314_H342_P0.7541.00
272_A275_T0.7531.00
154_H159_A0.7531.00
263_V335_V0.7511.00
155_D162_E0.7501.00
374_G393_P0.7491.00
360_T364_I0.7481.00
271_V285_A0.7451.00
192_E195_T0.7421.00
226_Q229_R0.7381.00
264_V291_P0.7371.00
311_A337_V0.7361.00
265_T269_S0.7351.00
278_Y285_A0.7341.00
270_E274_V0.7341.00
147_Q150_A0.7341.00
315_N318_P0.7321.00
235_A239_V0.7311.00
206_P243_E0.7311.00
224_D227_A0.7271.00
196_L355_H0.7251.00
258_A395_D0.7231.00
206_P250_G0.7231.00
143_V147_Q0.7221.00
140_H143_V0.7201.00
150_A154_H0.7191.00
115_G139_S0.7191.00
191_R195_T0.7181.00
115_G135_A0.7161.00
304_F337_V0.7151.00
283_V312_V0.7111.00
352_F363_N0.7111.00
127_I131_V0.7101.00
251_K299_L0.7081.00
185_D189_A0.7081.00
343_G386_T0.7081.00
378_V386_T0.7081.00
151_L158_A0.7071.00
248_V299_L0.7061.00
252_L363_N0.7021.00
250_G253_T0.6991.00
182_R185_D0.6971.00
344_L350_E0.6961.00
234_V237_R0.6961.00
213_S217_Q0.6951.00
134_F137_M0.6921.00
90_E93_I0.6901.00
138_H142_R0.6901.00
147_Q151_L0.6901.00
209_V242_I0.6901.00
149_E153_D0.6871.00
83_V87_L0.6861.00
100_L103_A0.6861.00
196_L200_L0.6841.00
125_D131_V0.6841.00
349_S379_A0.6821.00
339_D386_T0.6811.00
189_A193_R0.6791.00
206_P242_I0.6781.00
277_S309_T0.6771.00
352_F388_F0.6761.00
310_N361_G0.6741.00
204_D207_N0.6731.00
344_L380_D0.6731.00
265_T298_E0.6661.00
146_A149_E0.6661.00
331_E394_R0.6651.00
377_T390_V0.6651.00
82_L86_V0.6641.00
69_T73_V0.6641.00
176_M181_D0.6621.00
218_L231_H0.6581.00
84_N88_V0.6571.00
213_S236_D0.6571.00
374_G390_V0.6561.00
261_I298_E0.6541.00
199_Y204_D0.6541.00
104_A134_F0.6521.00
274_V309_T0.6521.00
154_H157_D0.6521.00
138_H145_A0.6481.00
307_L365_V0.6471.00
273_R301_N0.6461.00
211_V214_G0.6451.00
308_I324_V0.6451.00
152_A158_A0.6441.00
258_A373_G0.6431.00
146_A150_A0.6411.00
367_T371_T0.6411.00
156_F160_V0.6401.00
267_L304_F0.6381.00
239_V243_E0.6381.00
204_D208_V0.6321.00
154_H163_T0.6311.00
210_N214_G0.6311.00
187_I190_D0.6301.00
195_T199_Y0.6281.00
329_E332_S0.6281.00
244_E248_V0.6271.00
223_T228_V0.6271.00
267_L324_V0.6171.00
189_A192_E0.6131.00
131_V134_F0.6111.00
76_V80_L0.6101.00
308_I322_V0.6091.00
321_R338_A0.6091.00
268_D289_S0.6091.00
206_P247_D0.6091.00
282_Q318_P0.6081.00
98_T102_A0.6081.00
349_S388_F0.6071.00
105_T129_A0.6071.00
152_A159_A0.6041.00
252_L367_T0.5991.00
342_P386_T0.5971.00
119_R122_G0.5951.00
106_H109_E0.5951.00
366_H375_T0.5941.00
299_L372_F0.5921.00
113_A142_R0.5911.00
334_T377_T0.5911.00
175_R178_A0.5901.00
202_S207_N0.5881.00
130_L135_A0.5881.00
267_L287_L0.5871.00
233_D236_D0.5861.00
88_V92_D0.5841.00
307_L337_V0.5841.00
230_D233_D0.5831.00
324_V337_V0.5831.00
105_T108_A0.5821.00
349_S353_F0.5811.00
177_T184_I0.5811.00
173_L178_A0.5791.00
326_V335_V0.5791.00
316_D342_P0.5781.00
145_A152_A0.5751.00
250_G254_R0.5751.00
107_I137_M0.5731.00
102_A106_H0.5731.00
71_V74_L0.5721.00
70_A73_V0.5721.00
99_G102_A0.5721.00
190_D194_S0.5711.00
306_N309_T0.5711.00
336_R379_A0.5691.00
103_A114_A0.5671.00
339_D342_P0.5671.00
278_Y283_V0.5671.00
101_Q104_A0.5661.00
187_I191_R0.5661.00
104_A137_M0.5651.00
219_A235_A0.5641.00
118_P135_A0.5641.00
204_D364_I0.5631.00
257_G297_N0.5631.00
110_G114_A0.5621.00
230_D272_A0.5601.00
353_F388_F0.5571.00
266_L300_L0.5561.00
276_E279_P0.5561.00
300_L392_L0.5561.00
120_A123_Q0.5551.00
115_G118_P0.5551.00
205_V208_V0.5531.00
288_P327_A0.5491.00
157_D161_L0.5491.00
239_V242_I0.5491.00
151_L159_A0.5491.00
263_V333_V0.5481.00
292_C394_R0.5481.00
126_E131_V0.5461.00
205_V245_V0.5451.00
227_A231_H0.5451.00
130_L134_F0.5411.00
134_F138_H0.5411.00
222_Q231_H0.5411.00
217_Q221_R0.5391.00
179_S184_I0.5391.00
176_M185_D0.5381.00
332_S394_R0.5371.00
220_R232_L0.5361.00
104_A130_L0.5361.00
190_D193_R0.5361.00
66_A70_A0.5341.00
225_A229_R0.5321.00
346_V350_E0.5321.00
264_V292_C0.5301.00
204_D306_N0.5291.00
272_A276_E0.5261.00
128_G132_D0.5261.00
198_N201_V0.5231.00
97_V101_Q0.5231.00
278_Y322_V0.5211.00
215_R238_Q0.5201.00
115_G142_R0.5201.00
144_V147_Q0.5201.00
281_A312_V0.5201.00
143_V146_A0.5191.00
153_D157_D0.5181.00
219_A231_H0.5171.00
344_L362_L0.5161.00
138_H144_V0.5161.00
210_N213_S0.5161.00
206_P214_G0.5161.00
302_S305_R0.5151.00
154_H162_E0.5141.00
100_L134_F0.5131.00
157_D160_V0.5131.00
237_R272_A0.5111.00
210_N215_R0.5101.00
156_F162_E0.5101.00
102_A105_T0.5081.00
338_A381_S0.5081.00
173_L180_L0.5081.00
271_V308_I0.5071.00
303_V372_F0.5071.00
343_G385_G0.5041.00
208_V242_I0.5041.00
198_N210_N0.5041.00
108_A112_L0.5041.00
283_V340_N0.5031.00
215_R219_A0.5031.00
278_Y282_Q0.5031.00
313_E356_R0.5021.00
213_S216_L0.5011.00
278_Y281_A0.5001.00
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  
4i5sA 2 0.7295 100 0.379 Contact Map
4bixA 2 0.5242 100 0.463 Contact Map
4ctiA 2 0.5435 100 0.486 Contact Map
4r39A 1 0.5072 100 0.511 Contact Map
4q20A 2 0.5217 100 0.511 Contact Map
3d36A 2 0.5072 100 0.511 Contact Map
3jz3A 2 0.3671 100 0.513 Contact Map
4mpcA 2 0.7367 100 0.517 Contact Map
4gczA 2 0.8188 100 0.519 Contact Map
3a0rA 2 0.7585 100 0.521 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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