GREMLIN Database
Q97WG1 - Sulfide-quinone reductase related protein (Sqr)
UniProt: Q97WG1 Sequences:
Download Alignment
We filter this alignment to remove sites that have many gaps before running GREMLIN.

Date: 2015_01
Length: 414 (331)
Sequences: 24857 (17287)
Seq/√Len: 950.2

GREMLIN Results:

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

Residue pairs sorted by coevolution strength:
i j Sco Prob
40_N82_T4.2691.00
179_A264_A3.9791.00
8_K34_E3.4031.00
296_D300_V3.3371.00
91_G306_N3.1631.00
210_V241_V3.1291.00
208_K239_E3.0711.00
92_L104_E2.9811.00
230_R234_K2.8451.00
21_A111_I2.6061.00
286_L294_P2.5261.00
59_N62_D2.5181.00
94_Y104_E2.4831.00
7_T36_K2.4381.00
124_K248_E2.4131.00
87_D90_G2.3731.00
248_E255_A2.3701.00
10_L93_V2.3701.00
241_V260_K2.2891.00
214_P245_R2.2791.00
88_A304_Y2.2621.00
8_K36_K2.2581.00
119_G274_T2.2291.00
250_R255_A2.1831.00
107_Y110_L2.1751.00
34_E77_N2.1351.00
17_G310_V2.0941.00
92_L106_D2.0941.00
36_K79_Q2.0801.00
109_Y306_N2.0671.00
179_A212_F2.0471.00
10_L105_E2.0401.00
288_D292_F2.0371.00
38_I105_E2.0241.00
117_H274_T2.0051.00
177_P208_K2.0021.00
278_A281_N1.9841.00
8_K108_D1.9791.00
6_M106_D1.9741.00
87_D92_L1.9681.00
255_A261_T1.9571.00
9_V25_L1.9561.00
117_H276_N1.9541.00
216_E243_N1.9501.00
6_M108_D1.9371.00
10_L38_I1.9131.00
7_T77_N1.9121.00
245_R257_E1.8921.00
88_A307_V1.8881.00
210_V239_E1.8711.00
84_E94_Y1.8371.00
59_N63_V1.8301.00
332_A336_L1.8091.00
361_F366_I1.7651.00
217_Y226_R1.7471.00
111_I336_L1.7441.00
247_K257_E1.7401.00
114_L313_A1.6691.00
179_A254_I1.6471.00
188_F211_V1.6251.00
244_F258_A1.5981.00
11_V22_A1.5831.00
223_T364_F1.5821.00
308_Y335_H1.5711.00
10_L36_K1.5471.00
241_V244_F1.5461.00
109_Y308_Y1.5331.00
286_L303_N1.5221.00
12_L83_V1.5091.00
79_Q103_A1.4831.00
9_V33_A1.4821.00
223_T227_K1.4751.00
300_V305_D1.4701.00
85_K94_Y1.4691.00
288_D315_S1.4671.00
247_K255_A1.4591.00
331_I335_H1.4571.00
135_E138_Y1.4541.00
293_V309_A1.4531.00
364_F368_V1.4301.00
111_I310_V1.4251.00
81_G95_Y1.4241.00
95_Y105_E1.4091.00
145_K207_V1.4091.00
363_G367_A1.3941.00
230_R242_D1.3721.00
24_A334_Q1.3701.00
329_G333_A1.3701.00
10_L107_Y1.3671.00
232_M235_Q1.3411.00
109_Y336_L1.3411.00
79_Q105_E1.3411.00
361_F369_K1.3331.00
177_P210_V1.3231.00
12_L112_I1.3211.00
213_S242_D1.3101.00
12_L114_L1.3101.00
288_D294_P1.3041.00
231_E234_K1.2971.00
81_G99_D1.2941.00
178_V207_V1.2811.00
212_F262_I1.2801.00
99_D103_A1.2761.00
87_D91_G1.2691.00
177_P265_D1.2621.00
36_K105_E1.2391.00
9_V111_I1.2341.00
199_K208_K1.2331.00
232_M236_M1.2321.00
217_Y223_T1.2161.00
230_R240_L1.2121.00
256_D262_I1.2051.00
66_D70_A1.2021.00
278_A282_S1.2001.00
183_C213_S1.1951.00
244_F260_K1.1861.00
81_G98_P1.1861.00
68_T72_P1.1811.00
38_I95_Y1.1791.00
43_F46_F1.1791.00
134_C138_Y1.1771.00
231_E235_Q1.1731.00
304_Y307_V1.1721.00
7_T109_Y1.1641.00
14_A39_N1.1611.00
188_F352_T1.1481.00
333_A337_A1.1451.00
112_I313_A1.1391.00
110_L307_V1.1341.00
85_K110_L1.1201.00
241_V262_I1.1171.00
86_I104_E1.1171.00
137_D140_L1.1161.00
131_Y145_K1.1131.00
300_V306_N1.1121.00
86_I94_Y1.1081.00
310_V332_A1.1061.00
298_N335_H1.0971.00
264_A267_T1.0951.00
299_M314_N1.0941.00
67_L71_L1.0871.00
138_Y141_K1.0871.00
183_C218_L1.0861.00
67_L70_A1.0811.00
249_I267_T1.0801.00
227_K230_R1.0791.00
299_M332_A1.0701.00
21_A329_G1.0661.00
134_C142_L1.0661.00
66_D71_L1.0651.00
338_T343_Q1.0651.00
136_L140_L1.0631.00
66_D69_K1.0631.00
365_G368_V1.0601.00
28_L334_Q1.0561.00
250_R261_T1.0501.00
130_G249_I1.0481.00
244_F256_D1.0461.00
11_V18_G1.0421.00
69_K73_E1.0401.00
28_L337_A1.0321.00
17_G325_A1.0291.00
217_Y230_R1.0231.00
309_A313_A1.0191.00
212_F241_V1.0121.00
366_I371_D1.0091.00
181_A267_T1.0081.00
24_A28_L0.9981.00
178_V266_L0.9981.00
136_L139_A0.9951.00
113_A310_V0.9921.00
218_L242_D0.9881.00
60_E63_V0.9841.00
8_K106_D0.9821.00
26_K76_I0.9811.00
178_V198_F0.9781.00
343_Q346_V0.9771.00
18_G22_A0.9761.00
332_A335_H0.9721.00
244_F257_E0.9721.00
295_T314_N0.9651.00
199_K238_I0.9631.00
42_R80_Q0.9631.00
65_V69_K0.9571.00
200_K236_M0.9561.00
14_A37_V0.9561.00
38_I83_V0.9551.00
211_V240_L0.9521.00
6_M34_E0.9521.00
85_K282_S0.9491.00
7_T79_Q0.9461.00
21_A332_A0.9451.00
116_A273_Y0.9421.00
221_L348_Q0.9401.00
122_L126_W0.9351.00
197_Y201_K0.9341.00
295_T309_A0.9301.00
287_I294_P0.9271.00
25_L333_A0.9271.00
294_P303_N0.9241.00
293_V313_A0.9081.00
212_F244_F0.9081.00
64_M67_L0.9061.00
372_T376_G0.9061.00
36_K77_N0.9041.00
21_A310_V0.9021.00
68_T80_Q0.8981.00
318_V324_L0.8971.00
95_Y99_D0.8941.00
227_K231_E0.8901.00
144_E147_K0.8781.00
23_Y74_K0.8741.00
228_I231_E0.8721.00
180_D187_I0.8701.00
17_G113_A0.8691.00
39_N78_F0.8661.00
7_T34_E0.8621.00
181_A269_L0.8601.00
21_A333_A0.8601.00
234_K239_E0.8561.00
22_A76_I0.8551.00
33_A108_D0.8551.00
38_I79_Q0.8551.00
10_L110_L0.8541.00
87_D94_Y0.8531.00
107_Y306_N0.8511.00
24_A333_A0.8501.00
134_C139_A0.8491.00
365_G369_K0.8481.00
140_L143_R0.8441.00
228_I232_M0.8431.00
133_V139_A0.8401.00
212_F256_D0.8391.00
256_D260_K0.8351.00
294_P302_I0.8351.00
142_L266_L0.8321.00
372_T375_G0.8281.00
77_N103_A0.8261.00
217_Y227_K0.8161.00
250_R253_E0.8151.00
188_F233_Y0.8141.00
90_G104_E0.8101.00
210_V262_I0.8081.00
119_G122_L0.8031.00
65_V70_A0.8021.00
348_Q358_D0.8011.00
85_K93_V0.8011.00
187_I213_S0.7971.00
65_V68_T0.7961.00
191_S211_V0.7911.00
179_A262_I0.7911.00
253_E261_T0.7901.00
41_T50_L0.7881.00
277_P281_N0.7881.00
373_W376_G0.7861.00
111_I332_A0.7851.00
117_H277_P0.7851.00
8_K33_A0.7841.00
69_K72_P0.7811.00
24_A330_N0.7781.00
134_C137_D0.7771.00
299_M331_I0.7721.00
124_K127_D0.7701.00
82_T98_P0.7661.00
20_S329_G0.7611.00
37_V71_L0.7591.00
239_E260_K0.7581.00
18_G113_A0.7551.00
95_Y103_A0.7551.00
182_A187_I0.7541.00
221_L358_D0.7531.00
52_H56_G0.7511.00
308_Y339_R0.7511.00
292_F320_K0.7461.00
277_P287_I0.7451.00
123_V126_W0.7421.00
109_Y339_R0.7401.00
256_D259_G0.7371.00
330_N334_Q0.7341.00
24_A27_R0.7331.00
148_D265_D0.7331.00
281_N284_P0.7321.00
25_L336_L0.7311.00
9_V336_L0.7301.00
334_Q339_R0.7271.00
133_V136_L0.7261.00
376_G379_S0.7241.00
300_V308_Y0.7241.00
23_Y27_R0.7241.00
275_G292_F0.7211.00
296_D302_I0.7171.00
11_V21_A0.7171.00
20_S326_V0.7171.00
282_S304_Y0.7161.00
213_S219_S0.7151.00
71_L76_I0.7151.00
181_A271_P0.7141.00
121_E126_W0.7141.00
64_M68_T0.7121.00
309_A314_N0.7121.00
215_G219_S0.7111.00
135_E140_L0.7111.00
181_A246_I0.7101.00
191_S209_F0.7091.00
378_T381_A0.7081.00
285_D293_V0.7051.00
129_Y251_E0.7041.00
366_I372_T0.7041.00
300_V335_H0.7001.00
287_I293_V0.6991.00
25_L33_A0.6991.00
25_L35_I0.6981.00
85_K281_N0.6981.00
132_S138_Y0.6961.00
119_G271_P0.6911.00
20_S24_A0.6891.00
252_N263_K0.6891.00
26_K75_R0.6861.00
71_L74_K0.6861.00
68_T71_L0.6841.00
233_Y240_L0.6841.00
292_F315_S0.6821.00
148_D177_P0.6821.00
310_V329_G0.6811.00
196_G200_K0.6781.00
139_A143_R0.6751.00
126_W269_L0.6731.00
120_T269_L0.6731.00
88_A107_Y0.6721.00
347_D350_Y0.6721.00
216_E223_T0.6711.00
85_K112_I0.6701.00
379_S382_A0.6691.00
33_A337_A0.6681.00
246_I254_I0.6641.00
125_G248_E0.6631.00
210_V264_A0.6621.00
183_C187_I0.6621.00
379_S383_P0.6601.00
300_V304_Y0.6581.00
143_R146_L0.6581.00
334_Q338_T0.6571.00
180_D191_S0.6561.00
85_K107_Y0.6551.00
48_P51_P0.6521.00
233_Y238_I0.6521.00
109_Y340_L0.6521.00
308_Y336_L0.6511.00
135_E139_A0.6501.00
47_R52_H0.6501.00
224_M376_G0.6471.00
178_V268_I0.6471.00
8_K105_E0.6461.00
282_S287_I0.6461.00
7_T10_L0.6451.00
218_L240_L0.6431.00
180_D268_I0.6391.00
140_L146_L0.6391.00
83_V93_V0.6371.00
114_L278_A0.6371.00
43_F78_F0.6361.00
18_G37_V0.6351.00
299_M335_H0.6331.00
297_L342_V0.6301.00
100_G103_A0.6281.00
141_K145_K0.6281.00
34_E108_D0.6261.00
70_A74_K0.6261.00
88_A285_D0.6221.00
373_W377_T0.6181.00
25_L337_A0.6171.00
285_D304_Y0.6171.00
127_D130_G0.6171.00
20_S330_N0.6161.00
377_T382_A0.6141.00
134_C266_L0.6141.00
182_A186_P0.6141.00
191_S238_I0.6131.00
375_G379_S0.6131.00
289_D294_P0.6121.00
52_H55_T0.6121.00
182_A185_G0.6111.00
9_V333_A0.6101.00
324_L328_T0.6101.00
190_M268_I0.6081.00
60_E140_L0.6071.00
339_R342_V0.6071.00
21_A336_L0.6021.00
218_L226_R0.6011.00
110_L306_N0.5991.00
298_N340_L0.5981.00
64_M71_L0.5951.00
284_P287_I0.5941.00
314_N328_T0.5931.00
339_R345_K0.5931.00
177_P263_K0.5911.00
133_V137_D0.5901.00
364_F367_A0.5871.00
325_A329_G0.5871.00
342_V345_K0.5871.00
41_T137_D0.5861.00
218_L230_R0.5851.00
91_G304_Y0.5841.00
18_G39_N0.5831.00
185_G350_Y0.5831.00
38_I81_G0.5821.00
196_G236_M0.5801.00
347_D351_P0.5801.00
137_D141_K0.5791.00
327_K330_N0.5791.00
70_A73_E0.5791.00
226_R230_R0.5791.00
224_M227_K0.5771.00
308_Y332_A0.5761.00
50_L137_D0.5761.00
139_A198_F0.5751.00
120_T127_D0.5721.00
147_K208_K0.5711.00
121_E125_G0.5711.00
89_S304_Y0.5701.00
179_A210_V0.5701.00
120_T126_W0.5701.00
12_L93_V0.5681.00
148_D208_K0.5661.00
131_Y134_C0.5631.00
295_T299_M0.5601.00
312_D325_A0.5561.00
81_G84_E0.5551.00
225_S228_I0.5551.00
121_E269_L0.5551.00
84_E278_A0.5541.00
229_V356_V0.5541.00
367_A372_T0.5521.00
120_T135_E0.5521.00
122_L127_D0.5481.00
19_L37_V0.5481.00
71_L78_F0.5471.00
241_V256_D0.5471.00
133_V142_L0.5461.00
223_T226_R0.5461.00
349_Y352_T0.5451.00
126_W249_I0.5441.00
16_F326_V0.5441.00
338_T342_V0.5441.00
377_T381_A0.5441.00
122_L125_G0.5431.00
314_N318_V0.5421.00
86_I92_L0.5391.00
53_V140_L0.5391.00
26_K35_I0.5361.00
91_G106_D0.5361.00
376_G383_P0.5351.00
341_G344_V0.5351.00
355_C358_D0.5321.00
188_F218_L0.5311.00
55_T190_M0.5311.00
134_C140_L0.5281.00
290_G315_S0.5271.00
37_V76_I0.5271.00
47_R51_P0.5271.00
367_A370_D0.5271.00
33_A109_Y0.5261.00
363_G366_I0.5261.00
327_K331_I0.5251.00
140_L144_E0.5251.00
338_T341_G0.5251.00
216_E242_D0.5241.00
147_K265_D0.5231.00
373_W378_T0.5221.00
187_I270_I0.5211.00
77_N80_Q0.5211.00
38_I93_V0.5201.00
139_A142_L0.5201.00
338_T345_K0.5191.00
378_T384_S0.5191.00
87_D104_E0.5181.00
300_V339_R0.5161.00
380_I384_S0.5161.00
372_T378_T0.5151.00
177_P264_A0.5121.00
136_L143_R0.5101.00
9_V35_I0.5101.00
90_G306_N0.5101.00
58_I62_D0.5091.00
144_E148_D0.5071.00
22_A35_I0.5071.00
249_I269_L0.5041.00
40_N276_N0.5041.00
39_N80_Q0.5041.00
136_L146_L0.5041.00
379_S384_S0.5021.00
310_V336_L0.5011.00
11_V35_I0.5011.00
139_A146_L0.5001.00
142_L146_L0.5001.00
378_T382_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  
4g6hA 2 0.9686 100 0.299 Contact Map
3sx6A 2 0.9082 100 0.372 Contact Map
3h8lA 2 0.785 100 0.376 Contact Map
3hywA 4 0.8937 100 0.378 Contact Map
4nwzA 2 0.913 100 0.379 Contact Map
3vrdB 1 0.8937 100 0.43 Contact Map
1xhcA 1 0.8188 100 0.44 Contact Map
3icsA 2 0.901 100 0.441 Contact Map
4fx9A 2 0.8865 100 0.444 Contact Map
3kljA 1 0.8116 100 0.446 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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