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CSPD - IF1
UniProt: P0A968 - P69222
Length: 146
Sequences: 107
Seq/Len: 0.76
I_Prob: 0.25

CSPD - Cold shock-like protein CspD
Paralog alert: 0.78 [within 20: 0.16] - ratio of genomes with paralogs
Cluster includes: CSPA CSPB CSPC CSPD CSPE CSPF CSPG CSPH CSPI
IF1 - Translation initiation factor IF-1
Paralog alert: 0.04 [within 20: 0.00] - ratio of genomes with paralogs
Cluster includes: IF1
GREMLIN Results (Scaled_score > 1):

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

Residue pairs sorted by strength in coevolution signal:
i j Scaled Score I_Prob
50_F 57_L 1.86 0.25
15_F 14_L 1.47 0.09
41_T 72_R 1.44 0.09
65_V 27_E 1.42 0.08
56_P 54_T 1.27 0.05
15_F 10_Q 1.25 0.05
56_P 32_V 1.24 0.04
15_F 27_E 1.18 0.04
33_T 56_E 1.17 0.04
55_G 13_V 1.17 0.04
62_S 13_V 1.14 0.03
41_T 41_R 1.12 0.03
12_A 42_K 1.11 0.03
51_D 15_E 1.06 0.02
3_K 7_I 1.06 0.02
23_G 6_N 1.04 0.02
2_E 69_F 1.03 0.02
27_I 25_E 1.01 0.02
18_I 43_N 1.00 0.02
63_V 2_A 0.99 0.02
60_H 58_T 0.97 0.02
51_D 6_N 0.96 0.02
67_V 23_R 0.94 0.01
24_G 6_N 0.94 0.01
20_P 69_F 0.93 0.01
56_P 13_V 0.93 0.01
54_Q 63_S 0.92 0.01
60_H 49_T 0.92 0.01
48_V 5_D 0.92 0.01
15_F 69_F 0.90 0.01
48_V 47_I 0.90 0.01
27_I 15_E 0.90 0.01
27_I 54_T 0.88 0.01
47_S 43_N 0.87 0.01
24_G 69_F 0.86 0.01
18_I 8_E 0.86 0.01
8_W 48_L 0.86 0.01
20_P 40_M 0.86 0.01
15_F 2_A 0.84 0.01
43_K 31_V 0.84 0.01
59_N 32_V 0.83 0.01
32_S 1_M 0.83 0.01
35_Q 33_T 0.83 0.01
37_D 56_E 0.83 0.01
39_Y 16_T 0.82 0.01
60_H 20_T 0.82 0.01
19_C 15_E 0.82 0.01
21_E 6_N 0.81 0.01
10_N 50_G 0.80 0.01
53_H 68_V 0.80 0.01
43_K 8_E 0.79 0.01
24_G 15_E 0.79 0.01
20_P 15_E 0.78 0.01
52_V 25_E 0.77 0.01
67_V 33_T 0.77 0.01
66_P 68_V 0.76 0.01
12_A 20_T 0.76 0.01
67_V 22_F 0.75 0.01
3_K 4_E 0.74 0.01
36_M 36_I 0.74 0.01
46_Q 64_K 0.73 0.01
22_G 7_I 0.73 0.01
5_T 43_N 0.72 0.01
68_E 69_F 0.72 0.01
Legend: The i (protein A) and j (protein B) are positions as given in the UniProt sequences. The value of the raw score is the function of the learning procedure, L2 normalization and APC (entropic) correction.

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

Text file of predictions
(includes both intra and inter preds)

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