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ccmc_ccme

Genes: A B A+B
Length: 245 159 376
Sequences: 5196 2773 1944
Seq/Len: 21.21 17.44 5.17
MirrorTree (Pazo et al. 2001) 0.25
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 4.18
2 0.02 0.00 4.81
5 0.50 0.00 5.22
10 0.51 0.00 5.29
20 0.51 0.00 5.31
100 0.51 0.00 5.35
0.53 0.03 5.53
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
49_Q 104_R 1.17 0.92 0.20
155_A 62_V 0.95 0.74 0.10
117_P 102_L 0.93 0.73 0.10
83_V 12_A 0.88 0.66 0.08
177_V 86_D 0.86 0.64 0.07
143_I 15_V 0.82 0.59 0.06
182_T 36_L 0.79 0.55 0.06
164_L 126_V 0.78 0.53 0.06
34_T 72_Q 0.78 0.53 0.05
108_L 63_G 0.74 0.47 0.05
55_R 62_V 0.70 0.41 0.04
133_L 125_E 0.69 0.40 0.04
59_L 32_S 0.67 0.38 0.04
115_G 131_D 0.67 0.37 0.03
36_G 109_V 0.67 0.37 0.03
133_L 123_A 0.66 0.36 0.03
108_L 102_L 0.66 0.35 0.03
152_R 41_G 0.65 0.35 0.03
63_A 31_R 0.65 0.34 0.03
85_Q 26_V 0.65 0.34 0.03
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
7373 1.66 CCMC_CCME Δgene:(1, 2) A:(1E-80, 8) B:(1E-40, 2) msa: Jackhmmer (r132) 0.98 Done
7372 2.68 CCMC_CCME Δgene:(1, 2) A:(1E-80, 8) B:(1E-40, 4) msa: Jackhmmer (r132) 1.00 Done
7371 2.77 CCMC_CCME Δgene:(1, 2) A:(1E-80, 8) B:(1E-40, 8) msa: Jackhmmer (r132) 1.00 Done
7370 0.47 CCMC_CCME Δgene:(1, 2) A:(1E-80, 8) B:(1E-60, 8) msa: Jackhmmer (r132) 0.70 Done
7369 0.06 CCMC_CCME Δgene:(1, 2) A:(1E-80, 8) B:(1E-80, 8) msa: Jackhmmer (r132) Killed
7351 3.08 CCMC_CCME Δgene:(1, 2) A:(1E-60, 8) B:(1E-40, 8) msa: Jackhmmer (r132) 1.00 Done
7347 0.47 CCMC_CCME Δgene:(1, 2) A:(1E-60, 8) B:(1E-60, 8) msa: Jackhmmer (r132) 0.61 Done
7037 4.74 CCMC_CCME Δgene:(1, ∞) A:(1E-40, 8) B:(1E-20, 8) msa: Jackhmmer (r132) 0.99 Done
7034 3.44 CCMC_CCME Δgene:(1, 2) A:(1E-40, 8) B:(1E-20, 8) msa: Jackhmmer (r132) 1.00 Done
6982 5.17 ccmc_ccme Δgene:(1, 2) A:(1E-20, 8) B:(1E-20, 8) msa: Jackhmmer (r132) 0.20 Done - Shared
2431 1.73 ccme-ccmc Δgene:(1, 20) A:(1E-20, 8) B:(1E-20, 8) msa: Jackhmmer (2015_03) 0.00 Done - Shared
1105 0.93 CCMC_CCME Δgene:(1, 2) A:(1E-40, 8) B:(1E-20, 8) msa: Jackhmmer (2014_03) 0.94 Done
1099 1.4 CCMC_CCME Δgene:(1, ∞) A:(1E-40, 8) B:(1E-20, 8) msa: Jackhmmer (2014_03) 0.98 Done
1097 0.15 CCMC_CCME Δgene:(1, 1) A:(1E-40, 8) B:(1E-20, 8) msa: Jackhmmer (2014_03) Killed
1094 1.28 CCMC_CCME Δgene:(1, 1) A:(1E-20, 8) B:(1E-20, 8) msa: Jackhmmer (2014_03) 0.00 Done
1049 1.51 CCMC_CCME Δgene:(1, 5) A:(1E-20, 8) B:(1E-20, 8) msa: Jackhmmer (2014_03) 0.00 Done

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