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cIm_J_4_cytb_4_human

Genes: A B A+B
Length: 174 378 549
Sequences: 7718 4516 3980
Seq/Len: 44.36 11.95 7.25
MirrorTree (Pazo et al. 2001) 0.55
Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.

[Show Jackhmmer results] - Maybe useful in deciding what regions to trim.

Δgene Ratio of paralogs Joined
A B Seq/Len
1 0.00 0.00 5.22
2 0.00 0.00 5.31
5 0.00 0.00 5.68
10 0.00 0.00 5.87
20 0.00 0.00 5.99
100 0.00 0.00 6.14
0.01 0.00 7.21
Paired alignment generation
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Sequence A E-value:
Iterations:
Sequence B E-value:
Iterations:
Δgene MSA
Figure 1: The effect of Δgene on ratio of paralogs in the genome for each gene, and the number of sequences in the resulting joined alignment. Figure 2: Distribution of Δgene across all genomes. Figure 3: Current parameters. You can use the form to adjust the parameters and resubmit the job!

GREMLIN results (Scaled_score > 1):
Figure 4: The darker and larger the blue dots, the higher strength in coevolution.
Inter Residue pairs sorted by strength in coevolution signal:
i j Scaled Score Prob I_Prob
65_V 30_W 0.99 0.87 0.03
157_G 27_I 0.93 0.82 0.02
164_V 243_T 0.93 0.82 0.02
59_Y 181_F 0.92 0.81 0.02
61_G 239_L 0.90 0.78 0.02
145_L 197_L 0.88 0.76 0.02
61_G 140_F 0.84 0.71 0.02
161_F 325_Y 0.83 0.70 0.02
47_G 6_K 0.82 0.69 0.02
33_I 169_S 0.78 0.64 0.01
33_I 251_G 0.78 0.63 0.01
161_F 322_Q 0.77 0.62 0.01
158_W 160_L 0.77 0.62 0.01
37_V 238_S 0.76 0.60 0.01
153_V 160_L 0.76 0.60 0.01
73_M 179_F 0.76 0.60 0.01
32_L 354_A 0.76 0.60 0.01
73_M 180_T 0.76 0.60 0.01
70_T 322_Q 0.76 0.59 0.01
131_G 353_V 0.75 0.59 0.01
61_G 294_L 0.75 0.59 0.01
65_V 58_D 0.75 0.59 0.01
30_L 219_T 0.75 0.58 0.01
164_V 343_V 0.73 0.56 0.01
40_C 322_Q 0.73 0.55 0.01
16_F 164_I 0.72 0.54 0.01
23_P 222_P 0.71 0.53 0.01
96_L 153_I 0.71 0.52 0.01
164_V 180_T 0.70 0.52 0.01
90_V 42_I 0.69 0.50 0.01
84_S 107_F 0.69 0.49 0.01
59_Y 111_E 0.69 0.48 0.01
142_A 238_S 0.68 0.48 0.01
135_I 350_I 0.67 0.47 0.01
59_Y 56_S 0.67 0.47 0.01
32_L 114_N 0.67 0.46 0.01
156_T 328_L 0.67 0.46 0.01
104_L 164_I 0.67 0.45 0.01
154_V 195_L 0.66 0.44 0.01
70_T 340_G 0.65 0.44 0.01
153_V 10_L 0.65 0.44 0.01
171_A 222_P 0.65 0.42 0.01
146_Y 307_L 0.65 0.42 0.01
57_L 189_I 0.64 0.42 0.01
101_G 110_S 0.64 0.42 0.01
6_F 304_I 0.64 0.42 0.01
73_M 310_S 0.64 0.41 0.01
65_V 56_S 0.64 0.41 0.01
33_I 29_A 0.64 0.41 0.01
50_Y 258_L 0.63 0.41 0.01
104_L 360_T 0.63 0.40 0.01
8_L 197_L 0.63 0.40 0.01
50_Y 216_D 0.63 0.40 0.01
48_G 194_T 0.63 0.40 0.01
63_M 191_A 0.63 0.40 0.01
70_T 71_R 0.63 0.39 0.01
157_G 105_G 0.62 0.39 0.01
156_T 240_M 0.62 0.39 0.01
157_G 57_P 0.62 0.39 0.01
52_G 251_G 0.62 0.38 0.01
81_A 306_I 0.62 0.38 0.01
74_A 75_Y 0.62 0.38 0.01
Figure 5: The i (protein A) and j (protein B) are positions as given in the query sequences.

Scaled Score = raw_score/average(raw_scores)
Prob = P(contact | scaled_score, seq/len)
I_Prob = P(contact | scaled_score, seq/len, top_inter_score)

ID Seq/Len Name Options I_Prob Status
5763 0.35 cIm_J_40_cytb_40_human Δgene:(1, ∞) A:(1E-40, 8) B:(1E-40, 8) msa: Jackhmmer (2016_06b) 0.01 Done - Shared
5757 7.25 cIm_J_4_cytb_4_human Δgene:(1, ∞) A:(1E-04, 8) B:(1E-04, 8) msa: Jackhmmer (2016_06b) 0.03 Done - Shared
5756 7.57 cIm_J_2_cytb_2_human Δgene:(1, ∞) A:(1E-02, 8) B:(1E-02, 8) msa: Jackhmmer (2016_06b) 0.05 Done - Shared

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