GREMLIN Database
DUF1365 - Protein of unknown function (DUF1365)
PFAM: PF07103 Sequences:
Download Alignment
We filter this alignment to remove sites that have many gaps before running GREMLIN.

Date: 2015_10
Length: 236 (230)
Sequences: 10643 (7885)
Seq/√Len: 519.9
META: 0.829

GREMLIN Results:

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

Residue pairs sorted by coevolution strength:
i j Sco Prob
60_R64_R3.9821.00
30_D60_R3.0411.00
5_T19_R2.8551.00
14_V228_V2.7391.00
82_L97_S2.6771.00
91_Y213_I2.6141.00
211_K215_A2.4261.00
122_E233_H2.3031.00
137_R153_R2.3001.00
139_D153_R2.2461.00
63_V113_V2.2381.00
36_R195_D2.1971.00
9_R17_A2.1901.00
103_D108_R2.1861.00
49_D87_R2.1221.00
103_D110_R2.0821.00
66_L70_A2.0541.00
152_G174_L1.9881.00
81_R102_Y1.9841.00
26_L81_R1.9251.00
9_R15_R1.9141.00
66_L69_E1.8891.00
176_D179_G1.8491.00
26_L83_L1.8001.00
12_R179_G1.7941.00
137_R155_R1.7751.00
149_P231_H1.7261.00
124_H142_F1.7111.00
218_W222_R1.7091.00
58_P61_A1.6881.00
155_R175_H1.6431.00
16_H226_K1.6051.00
117_N123_R1.6031.00
105_D108_R1.5731.00
3_E191_R1.5521.00
57_G65_D1.5451.00
84_T97_S1.5261.00
31_E34_E1.5221.00
200_R204_R1.5061.00
26_L102_Y1.4961.00
22_V85_H1.4821.00
191_R197_A1.4811.00
76_D104_A1.4631.00
148_M174_L1.4631.00
77_G104_A1.4601.00
42_L89_L1.4601.00
148_M181_L1.4401.00
25_L86_P1.4351.00
7_R185_T1.4291.00
57_G62_W1.4271.00
96_V114_A1.4261.00
102_Y109_L1.4211.00
28_D79_R1.4171.00
148_M152_G1.4061.00
52_D55_P1.3951.00
116_V126_Y1.3881.00
31_E35_L1.3771.00
223_L228_V1.3761.00
173_D180_P1.3661.00
20_Y219_Q1.3511.00
43_A88_V1.3461.00
194_T197_A1.3411.00
1_L25_L1.3331.00
66_L127_V1.3321.00
197_A200_R1.3201.00
175_H180_P1.3181.00
43_A202_L1.3161.00
11_L183_D1.3101.00
68_A74_R1.3061.00
6_V22_V1.2961.00
221_L225_L1.2921.00
138_A156_F1.2841.00
112_V158_F1.2841.00
213_I217_H1.2741.00
50_H84_T1.2741.00
151_D176_D1.2731.00
18_F219_Q1.2731.00
113_V127_V1.2631.00
195_D199_L1.2611.00
51_G62_W1.2571.00
196_R200_R1.2431.00
155_R173_D1.2411.00
28_D81_R1.2411.00
40_F44_S1.2401.00
7_R19_R1.2391.00
83_L168_L1.2231.00
27_L86_P1.2221.00
149_P176_D1.2201.00
16_H219_Q1.2161.00
217_H224_W1.2141.00
63_V80_I1.2091.00
61_A65_D1.2021.00
7_R17_A1.1971.00
143_H234_P1.1961.00
67_L101_C1.1931.00
174_L182_F1.1911.00
152_G176_D1.1911.00
67_L111_A1.1911.00
113_V125_A1.1821.00
65_D69_E1.1791.00
199_L203_L1.1721.00
3_E201_A1.1671.00
66_L113_V1.1581.00
74_R77_G1.1571.00
12_R181_L1.1491.00
228_V231_H1.1471.00
64_R80_I1.1451.00
41_N44_S1.1321.00
100_Y158_F1.1301.00
224_W227_G1.1251.00
63_V101_C1.1241.00
117_N121_G1.1181.00
52_D56_G1.0931.00
2_Y161_P1.0861.00
9_R183_D1.0831.00
24_M85_H1.0761.00
153_R175_H1.0721.00
52_D57_G1.0701.00
51_G66_L1.0581.00
102_Y107_G1.0551.00
3_E204_R1.0551.00
176_D181_L1.0511.00
57_G61_A1.0481.00
152_G181_L1.0481.00
101_C111_A1.0441.00
98_F170_V1.0341.00
116_V142_F1.0141.00
36_R39_S1.0111.00
148_M182_F0.9971.00
116_V144_V0.9861.00
23_F88_V0.9821.00
124_H141_A0.9821.00
20_Y215_A0.9771.00
207_L210_L0.9691.00
100_Y109_L0.9681.00
171_H185_T0.9591.00
122_E142_F0.9591.00
40_F46_R0.9561.00
16_H215_A0.9531.00
219_Q222_R0.9521.00
50_H92_V0.9511.00
85_H212_V0.9511.00
98_F114_A0.9491.00
128_L136_Q0.9481.00
78_G102_Y0.9321.00
93_F213_I0.9321.00
43_A198_L0.9311.00
47_D62_W0.9301.00
64_R77_G0.9271.00
2_Y190_R0.9261.00
79_R107_G0.9171.00
118_N142_F0.9151.00
23_F208_M0.9101.00
191_R200_R0.9081.00
96_V142_F0.9071.00
151_D177_D0.9071.00
61_A64_R0.9031.00
169_S187_S0.8981.00
24_M186_L0.8931.00
73_D110_R0.8921.00
51_G125_A0.8921.00
161_P165_G0.8841.00
120_F143_H0.8791.00
16_H222_R0.8791.00
54_D57_G0.8781.00
171_H183_D0.8781.00
29_L60_R0.8781.00
157_R171_H0.8741.00
66_L125_A0.8731.00
60_R80_I0.8641.00
52_D58_P0.8581.00
12_R176_D0.8561.00
50_H117_N0.8551.00
47_D59_L0.8541.00
102_Y160_P0.8521.00
169_S185_T0.8511.00
167_R189_R0.8511.00
149_P152_G0.8501.00
65_D74_R0.8491.00
100_Y161_P0.8431.00
3_E205_Y0.8431.00
27_L45_F0.8421.00
143_H231_H0.8411.00
114_A156_F0.8401.00
46_R87_R0.8401.00
63_V99_Y0.8321.00
168_L186_L0.8311.00
80_I101_C0.8271.00
196_R199_L0.8241.00
208_M212_V0.8211.00
117_N125_A0.8181.00
37_L195_D0.8131.00
77_G110_R0.8131.00
5_T21_R0.8101.00
29_L59_L0.8041.00
222_R225_L0.8021.00
89_L202_L0.8001.00
215_A219_Q0.7991.00
45_F86_P0.7991.00
115_E123_R0.7981.00
16_H20_Y0.7851.00
114_A128_L0.7841.00
55_P62_W0.7801.00
130_V136_Q0.7791.00
44_S48_R0.7781.00
180_P183_D0.7781.00
100_Y170_V0.7761.00
30_D79_R0.7711.00
193_L197_A0.7701.00
27_L32_L0.7671.00
103_D107_G0.7671.00
143_H233_H0.7611.00
51_G63_V0.7601.00
175_H179_G0.7541.00
159_S169_S0.7541.00
79_R102_Y0.7501.00
221_L224_W0.7491.00
116_V138_A0.7491.00
45_F59_L0.7481.00
42_L202_L0.7451.00
173_D183_D0.7431.00
91_Y210_L0.7401.00
50_H125_A0.7361.00
55_P58_P0.7341.00
13_P181_L0.7311.00
144_V154_Y0.7241.00
78_G104_A0.7231.00
4_G186_L0.7221.00
117_N142_F0.7141.00
23_F201_A0.7141.00
62_W66_L0.7141.00
161_P166_E0.7131.00
30_D33_P0.7111.00
67_L72_G0.7081.00
52_D62_W0.7071.00
54_D62_W0.7031.00
120_F217_H0.7001.00
143_H230_F0.6961.00
211_K219_Q0.6951.00
3_E200_R0.6901.00
25_L43_A0.6891.00
73_D77_G0.6871.00
167_R187_S0.6841.00
230_F233_H0.6831.00
4_G24_M0.6831.00
111_A127_V0.6731.00
7_R183_D0.6691.00
62_W99_Y0.6631.00
100_Y168_L0.6631.00
50_H123_R0.6601.00
142_F148_M0.6521.00
93_F217_H0.6511.00
100_Y160_P0.6511.00
83_L100_Y0.6491.00
114_A136_Q0.6481.00
217_H230_F0.6451.00
126_Y154_Y0.6441.00
132_G135_R0.6431.00
210_L213_I0.6401.00
38_F193_L0.6381.00
124_H154_Y0.6381.00
201_A205_Y0.6351.00
208_M211_K0.6341.00
27_L35_L0.6331.00
138_A141_A0.6281.00
142_F150_M0.6281.00
82_L99_Y0.6261.00
72_G75_P0.6211.00
143_H150_M0.6191.00
93_F117_N0.6191.00
92_V209_T0.6161.00
88_V209_T0.6151.00
85_H186_L0.6111.00
177_D180_P0.6111.00
85_H209_T0.6071.00
92_V117_N0.6061.00
193_L198_L0.6021.00
138_A158_F0.6011.00
67_L127_V0.5991.00
29_L99_Y0.5960.99
28_D60_R0.5940.99
3_E21_R0.5920.99
161_P190_R0.5890.99
80_I99_Y0.5870.99
121_G217_H0.5850.99
11_L15_R0.5820.99
46_R49_D0.5810.99
148_M228_V0.5800.99
50_H62_W0.5800.99
65_D68_A0.5750.99
96_V170_V0.5730.99
30_D64_R0.5730.99
18_F182_F0.5710.99
13_P228_V0.5700.99
85_H88_V0.5700.99
29_L32_L0.5670.99
149_P174_L0.5670.99
72_G76_D0.5630.99
78_G103_D0.5580.99
74_R78_G0.5570.99
224_W230_F0.5560.99
85_H208_M0.5550.99
72_G110_R0.5530.99
120_F230_F0.5500.99
37_L199_L0.5480.99
23_F43_A0.5440.99
37_L41_N0.5440.99
98_F158_F0.5440.99
202_L205_Y0.5440.99
88_V202_L0.5430.99
116_V172_I0.5430.99
37_L42_L0.5410.99
67_L71_G0.5410.99
73_D111_A0.5390.99
209_T213_I0.5360.99
114_A158_F0.5360.99
91_Y209_T0.5350.99
23_F209_T0.5340.99
138_A172_I0.5340.99
68_A73_D0.5290.99
85_H92_V0.5280.99
78_G110_R0.5250.99
117_N120_F0.5250.99
160_P165_G0.5250.99
4_G22_V0.5240.99
200_R203_L0.5240.99
21_R211_K0.5230.99
195_D198_L0.5200.99
50_H116_V0.5170.99
16_H223_L0.5150.99
130_V134_G0.5140.98
100_Y159_S0.5130.98
83_L186_L0.5130.98
36_R199_L0.5120.98
47_D58_P0.5110.98
74_R110_R0.5110.98
51_G113_V0.5090.98
73_D76_D0.5080.98
25_L38_F0.5080.98
64_R74_R0.5080.98
5_T187_S0.5070.98
13_P16_H0.5050.98
174_L181_L0.5030.98
14_V227_G0.5020.98
59_L82_L0.5000.98
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  
2fctA 1 0.339 8 0.967 Contact Map
3pz7A 1 0.339 4.1 0.971 Contact Map
1lmlA 1 0.3051 3.7 0.972 Contact Map
2nmlA 2 0.2839 2.9 0.973 Contact Map
1wspA 3 0.3475 2.8 0.974 Contact Map
4xcbA 4 0.25 2.2 0.975 Contact Map
2fokA 1 0.5212 2.1 0.975 Contact Map
2l99X 1 0.1017 2.1 0.975 Contact Map
2mk9A 2 0.1398 2 0.976 Contact Map
4rsxA 1 0.322 1.7 0.976 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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