T0438

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T0438

4-hydroxybutyrate CoA-transferase (abfT-2) from Porphyromonas gingivalis

Target type: Server only

Target sequence:

>T0438 PgR26_I192G, PORPHYROMONAS GINGIVALIS, 439 residues
MQWQELYRQRVCSADEAVVDSLKPGTKVVFGHAAAAPVRFSQAMYRQREKLENITVFHMLYFGDAPHLAPEMRSHVHPTLNFLEGNSRPASRDRRVDFIPCHFHEVPELFRQGFFPLDVAVVQVSTPNEEGYCSFGVSCDYTKAAAECAPVVVAEVNKQMPFIGGENLIHISKLTHIIEVDEPIAEVLPPAGSDLELRIGQNCASLIKDGDTLQLGIGGIPDAVLRALEGHKDLGIHTEMFTDGVMRMIRKGIINGKKKTLHPEKVVTSLIFGSKELYDFVNNNPVIECYPVDYINNPDVIGKNDRMVSINSCLEMDLMGQAASESIGYEQFSGSGGQVDFLRGAKRSKGGISIMAFPSTAKKGTESRIVPILKEGACVTTGRNEVDYVVTEYGVARLRGATLRQRAEALTAIAHPDFRPALEEEIRRRFELEHHHHHH

Structure:
Method: X-ray, res=2.8Å, R/Rfree=0.20/0.26
Determined by: NESG
PDB ID: 3d3u

3d3u cartoon
Cartoon diagram of 438: 3d3u

PyMOL of 3d3u

Domains:  PyMOL of domains

Two domains, duplication. Residue ranges in PDB: 2-185 and 186-430. Residue ranges in target: 2-185 and 186-430.

438 domain evaluation plot
Correlation between weighted by the number of residues sum of GDT-TS scores for domain-based evlatuation (y, vertical axis) and whole chain GDT-TS (x, horizontal axis).

To compute the weighted sum, GDT-TS for each domain was multiplied by the domain length, and this sum was divided by the sum of domain lengths. Each point represents first server model. Green, gray and black points are top 10, bottom 25% and the rest of prediction models. Blue line is the best-fit slope line (intersection 0) to the top 10 server models. Red line is the diagonal. Slope and root mean square y-x distance for the top 10 models (average difference between the weighted sum of domain GDT-TS scores and the whole chain GDT-TS score) are shown above the plot.

Structure classification:

Both domains with NagB/RpiA/CoA transferase fold.

CASP category:

Whole chain: Comparative modeling:easy.

1st domain: Comparative modeling:easy. 2nd domain: Comparative modeling:easy. Due to strong similarity to the template domain partitioning for evalutaion may not be necessary.

Closest templates:

2oas.

Target sequence - PDB file inconsistencies:

T0438    3d3u.pdb    T0438.pdb    PyMOL    PyMOL of domains    

T0438    1 MQWQELYRQRVCSADEAVVDSLKPGTKVVFGHAAAAPVRFSQAMYRQREKLENITVFHMLYFGDAPHLAPEMRSHVHPTLNFLEGNSRPASRDRRVDFIPCHFHEVPELFRQGFFPLDVAVVQVSTPNEEGYCSFGVSCDYTKAAAECAPVVVAEVNKQMPFIGGENLIHISKLTHIIEVDEPIAEVLPPAGSDLELRIGQNCASLIKDGDTLQLGIGGIPDAVLRALEGHKDLGIHTEMFTDGVMRMIRKGIINGKKKTLHPEKVVTSLIFGSKELYDFVNNNPVIECYPVDYINNPDVIGKNDRMVSINSCLEMDLMGQAASESIGYEQFSGSGGQVDFLRGAKRSKGGISIMAFPSTAKKGTESRIVPILKEGACVTTGRNEVDYVVTEYGVARLRGATLRQRAEALTAIAHPDFRPALEEEIRRRFELEHHHHHH 439
           ~|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||~~~~~~~~~~~~~~~~~~~~|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||~~|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||~~~~~~~~~~~~~~||||||||||||||||||||||||||||||||||||||~~~~~~||||||||||||||||||||||||||||||||||||||||||||||||||~~~~~~~~~
3d3uA    2 -QWQELYRQRVCSADEAVVDSLKPGTKVVFGHAAAAPVRFSQAMYRQREKLENITVFHMLYFGDAPHLAPEMRSHVHPTL--------------------CHFHEVPELFRQGFFPLDVAVVQVSTPNEEGYCSFGVSCDYTKAAAECAPVVVAEVNKQMPFIGGENLIHISKLTHIIEVDEPIAEVLP--GSDLELRIGQNCASLIKDGDTLQLGIGGIPDAVLRALEGHKDLGIHTEMFTDGVMRMIRKGIINGKKKTLHPEKVVTSLIFGSKELYDFVNNNPVIECYPVDYINNPDVIGKNDRMVSINSCLEMDLMGQA--------------GQVDFLRGAKRSKGGISIMAFPSTAKKGTESRIVPILK------TGRNEVDYVVTEYGVARLRGATLRQRAEALTAIAHPDFRPALEEEIRRRF--------- 430

We suggest to evaluate this target as a single domain spanning whole chain. However, evolutionarily this is a 2-domain protein:

1st domain: target 2-80, 101-185 ; pdb 2-80, 101-185

2nd domain: target 186-189, 192-322, 337-374, 381-430 ; pdb 186-189, 192-322, 337-374, 381-430

Sequence classification:

Acetyl-CoA hydrolase (COG0427:ACH1) in CDD. N-domain matches acetyl-CoA hydrolase/transferase N-terminal domain (AcetylCoA_hydro) in Pfam.

Server predictions:

T0438:pdb 2-430:seq 2-430:CM_easy;   alignment

distribution of first scores
First models for T0438: Gaussian kernel density estimation for GDT-TS scores of the first server models, plotted at various bandwidths (=standard deviations). The GDT-TS scores are shown as a spectrum along the horizontal axis: each bar represents first server model. The bars are colored green, gray and black for top 10, bottom 25% and the rest of servers. The family of curves with varying bandwidth is shown. Bandwidth varies from 0.3 to 8.2 GDT-TS % units with a step of 0.1, which corresponds to the color ramp from magenta through blue to cyan. Thicker curves: red, yellow-framed brown and black, correspond to bandwidths 1, 2 and 4 respectively.

438_1:pdb 2-185:seq 2-185:CM_easy;   alignment

distribution of first scores
First models for T0438_1: Gaussian kernel density estimation for GDT-TS scores of the first server models, plotted at various bandwidths (=standard deviations). The GDT-TS scores are shown as a spectrum along the horizontal axis: each bar represents first server model. The bars are colored green, gray and black for top 10, bottom 25% and the rest of servers. The family of curves with varying bandwidth is shown. Bandwidth varies from 0.3 to 8.2 GDT-TS % units with a step of 0.1, which corresponds to the color ramp from magenta through blue to cyan. Thicker curves: red, yellow-framed brown and black, correspond to bandwidths 1, 2 and 4 respectively.

438_2:pdb 186-430:seq 186-430:CM_easy;   alignment

distribution of first scores
First models for T0438_2: Gaussian kernel density estimation for GDT-TS scores of the first server models, plotted at various bandwidths (=standard deviations). The GDT-TS scores are shown as a spectrum along the horizontal axis: each bar represents first server model. The bars are colored green, gray and black for top 10, bottom 25% and the rest of servers. The family of curves with varying bandwidth is shown. Bandwidth varies from 0.3 to 8.2 GDT-TS % units with a step of 0.1, which corresponds to the color ramp from magenta through blue to cyan. Thicker curves: red, yellow-framed brown and black, correspond to bandwidths 1, 2 and 4 respectively.

click on a score in the table below to display the model in PyMOL

# GROUP ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ TS ↓ TR ↓ CS ↓ ↓ GROUP #
T0438 438_1 438_2 T0438 438_1 438_2 T0438 438_1 438_2 T0438 438_1 438_2
First score First Z-score Best score Best Z-score
1 METATASSER 82.88 78.10 84.60 83.99 81.05 81.10 94.51 90.84 90.09 0.90 1.36 0.10 0.06 0.12 0.04 0.84 0.65 0.26 82.88 78.10 84.60 84.30 81.45 81.10 94.51 92.15 90.09 0.96 1.32 -0.04 -0.03 0.04 -0.10 0.85 0.80 0.13 METATASSER 1
2 BAKER−ROBETTA 82.11 72.65 88.38 87.65 84.81 86.86 92.83 91.03 91.23 0.69 0.08 0.68 0.76 0.66 1.01 0.44 0.68 0.44 82.11 72.65 88.38 88.11 85.47 86.86 92.94 91.14 91.23 0.70 -0.19 0.71 0.89 0.76 1.04 0.37 0.57 0.37 BAKER−ROBETTA 2
3 Pcons_multi 82.11 72.65 88.38 87.65 84.81 86.86 92.83 91.03 91.23 0.69 0.08 0.68 0.76 0.66 1.01 0.44 0.68 0.44 82.11 72.65 88.38 88.11 85.47 86.86 92.94 91.14 91.23 0.70 -0.19 0.71 0.89 0.76 1.04 0.37 0.57 0.37 Pcons_multi 3
4 PS2−server 81.85 77.41 87.84 87.81 84.65 85.34 92.71 85.99 91.39 0.62 1.20 0.60 0.79 0.64 0.75 0.41 -0.23 0.46 81.85 77.41 87.84 87.81 84.65 85.34 92.71 85.99 91.39 0.61 1.13 0.61 0.82 0.61 0.74 0.30 -0.59 0.40 PS2−server 4
5 GS−KudlatyPred 81.59 74.87 87.44 86.74 84.81 84.17 92.71 90.84 91.53 0.55 0.60 0.54 0.58 0.66 0.56 0.41 0.65 0.49 81.59 74.87 87.44 86.74 84.81 84.17 92.71 90.84 91.53 0.52 0.43 0.53 0.56 0.64 0.51 0.30 0.50 0.43 GS−KudlatyPred 5
6 pipe_int 81.53 72.42 87.16 86.43 83.99 83.90 92.83 91.18 91.22 0.54 0.03 0.49 0.52 0.55 0.51 0.44 0.71 0.44 81.53 72.42 87.16 86.43 83.99 83.90 92.83 91.18 91.22 0.50 -0.25 0.47 0.49 0.49 0.46 0.34 0.58 0.37 pipe_int 6
7 COMA−M 81.53 71.73 86.87 86.74 85.31 84.77 92.38 86.70 90.07 0.54 -0.14 0.45 0.58 0.74 0.66 0.33 -0.10 0.25 81.65 75.97 87.04 87.04 85.31 84.95 92.49 86.70 90.16 0.54 0.73 0.45 0.63 0.73 0.66 0.24 -0.43 0.14 COMA−M 7
8 HHpred2 81.46 76.85 87.27 86.89 83.03 83.82 92.71 90.92 91.51 0.52 1.07 0.51 0.61 0.41 0.50 0.41 0.66 0.48 81.46 76.85 87.27 86.89 83.03 83.82 92.71 90.92 91.51 0.48 0.98 0.49 0.60 0.32 0.44 0.30 0.52 0.43 HHpred2 8
9 SAM−T06−server 81.46 75.73 86.74 85.37 82.52 84.17 92.15 89.69 90.97 0.52 0.80 0.43 0.32 0.34 0.56 0.27 0.44 0.40 81.46 75.73 86.74 85.37 82.52 84.17 92.83 91.18 91.23 0.48 0.67 0.39 0.23 0.23 0.51 0.34 0.58 0.37 SAM−T06−server 9
10 Zhang−Server 81.46 73.92 87.89 86.74 84.10 86.36 93.16 91.67 91.12 0.52 0.38 0.61 0.58 0.56 0.92 0.51 0.80 0.42 81.59 75.99 87.89 87.04 84.81 86.52 93.39 91.89 91.12 0.52 0.74 0.62 0.63 0.64 0.97 0.51 0.74 0.35 Zhang−Server 10
11 pro−sp3−TASSER 81.46 73.21 85.52 84.91 81.15 82.02 93.05 91.63 89.79 0.52 0.21 0.24 0.23 0.14 0.19 0.49 0.79 0.21 81.46 74.78 85.83 85.06 81.15 82.93 93.05 91.63 89.79 0.48 0.40 0.21 0.16 -0.02 0.26 0.41 0.68 0.07 pro−sp3−TASSER 11
12 circle 81.46 71.88 85.95 85.37 83.44 81.81 92.83 91.41 90.61 0.52 -0.10 0.31 0.32 0.47 0.16 0.44 0.75 0.34 81.46 72.61 86.07 86.13 84.10 82.56 92.83 91.41 90.61 0.48 -0.20 0.25 0.41 0.51 0.19 0.34 0.63 0.24 circle 12
13 BioSerf 81.39 77.17 87.50 86.74 84.91 84.40 92.60 84.04 91.48 0.50 1.14 0.55 0.58 0.68 0.59 0.38 -0.58 0.48 81.39 77.17 87.50 86.74 84.91 84.40 92.60 84.04 91.48 0.46 1.07 0.54 0.56 0.66 0.55 0.27 -1.03 0.42 BioSerf 13
14 FFASsuboptimal 81.39 72.29 87.30 86.28 83.64 84.21 92.83 91.03 91.23 0.50 -0.00 0.52 0.50 0.50 0.56 0.44 0.68 0.44 81.39 72.29 87.30 86.28 83.64 84.21 92.83 91.03 91.23 0.46 -0.29 0.50 0.45 0.43 0.52 0.34 0.55 0.37 FFASsuboptimal 14
15 FAMSD 81.39 72.27 87.23 85.98 84.15 84.05 92.83 90.88 91.10 0.50 -0.01 0.51 0.44 0.57 0.54 0.44 0.65 0.42 81.39 72.27 87.23 86.28 84.15 84.05 92.83 90.88 91.10 0.46 -0.29 0.48 0.45 0.52 0.49 0.34 0.51 0.34 FAMSD 15
16 SAM−T08−server 81.27 73.04 86.86 88.26 87.04 86.70 89.46 84.83 88.54 0.47 0.17 0.45 0.88 0.99 0.98 -0.37 -0.44 0.01 81.27 73.04 87.41 88.26 87.04 86.70 92.83 91.18 91.23 0.42 -0.08 0.52 0.93 1.04 1.01 0.34 0.58 0.37 SAM−T08−server 16
17 COMA 81.20 74.74 86.74 86.89 84.25 84.47 92.38 80.72 90.11 0.45 0.57 0.43 0.61 0.58 0.61 0.33 -1.18 0.26 81.20 74.74 87.04 86.89 84.25 84.95 92.38 80.72 90.16 0.39 0.39 0.45 0.60 0.54 0.66 0.21 -1.78 0.14 COMA 17
18 fais−server 81.20 74.01 87.71 86.89 85.37 84.86 92.71 90.77 91.50 0.45 0.40 0.58 0.61 0.75 0.67 0.41 0.63 0.48 81.20 74.01 87.71 86.89 85.37 84.86 92.71 90.77 91.50 0.39 0.19 0.58 0.60 0.74 0.65 0.30 0.49 0.42 fais−server 18
19 FEIG 81.20 73.00 87.48 85.98 84.15 84.53 92.60 90.88 91.35 0.45 0.16 0.54 0.44 0.57 0.62 0.38 0.65 0.46 81.20 73.00 87.68 85.98 84.55 85.03 92.60 90.88 91.35 0.39 -0.09 0.57 0.38 0.59 0.68 0.27 0.51 0.39 FEIG 19
20 FFASflextemplate 81.20 72.27 86.91 85.37 83.33 83.27 92.83 91.03 91.23 0.45 -0.01 0.46 0.32 0.45 0.40 0.44 0.68 0.44 81.20 72.27 86.91 85.67 83.33 83.27 93.05 91.03 91.46 0.39 -0.29 0.42 0.30 0.37 0.33 0.41 0.55 0.42 FFASflextemplate 20
21 keasar−server 81.14 74.25 87.46 86.58 84.96 84.97 93.16 85.24 91.19 0.43 0.46 0.54 0.55 0.69 0.69 0.51 -0.36 0.43 81.20 76.08 87.76 86.74 85.01 85.60 93.16 91.07 91.25 0.39 0.76 0.59 0.56 0.67 0.79 0.44 0.55 0.37 keasar−server 21
22 HHpred4 81.07 73.23 87.49 86.74 84.20 84.32 92.60 90.88 91.50 0.41 0.22 0.55 0.58 0.58 0.58 0.38 0.65 0.48 81.07 73.23 87.49 86.74 84.20 84.32 92.60 90.88 91.50 0.35 -0.03 0.54 0.56 0.53 0.54 0.27 0.51 0.42 HHpred4 22
23 RAPTOR 80.94 74.27 87.24 86.28 84.25 83.67 92.38 90.66 91.56 0.38 0.46 0.51 0.50 0.58 0.47 0.33 0.61 0.49 81.01 77.37 87.24 86.28 84.25 83.67 92.83 90.66 91.56 0.33 1.12 0.49 0.45 0.54 0.41 0.34 0.46 0.44 RAPTOR 23
24 HHpred5 80.88 73.00 87.01 86.43 83.08 83.41 92.71 90.69 91.28 0.36 0.16 0.47 0.52 0.42 0.43 0.41 0.62 0.45 80.88 73.00 87.01 86.43 83.08 83.41 92.71 90.69 91.28 0.28 -0.09 0.44 0.49 0.33 0.36 0.30 0.47 0.38 HHpred5 24
25 mGenTHREADER 80.88 71.98 86.50 84.76 82.83 82.27 92.83 91.03 91.23 0.36 -0.08 0.39 0.20 0.38 0.24 0.44 0.68 0.44 80.88 71.98 86.50 84.76 82.83 82.27 92.83 91.03 91.23 0.28 -0.37 0.34 0.08 0.28 0.13 0.34 0.55 0.37 mGenTHREADER 25
26 FFASstandard 80.81 71.53 86.76 85.67 82.83 82.71 93.05 86.85 91.46 0.34 -0.18 0.43 0.38 0.38 0.31 0.49 -0.07 0.48 81.20 72.27 86.91 85.67 83.33 83.27 93.05 91.03 91.46 0.39 -0.29 0.42 0.30 0.37 0.33 0.41 0.55 0.42 FFASstandard 26
27 GS−MetaServer2 80.69 75.95 86.79 85.21 80.44 82.75 92.38 86.70 91.29 0.31 0.85 0.44 0.29 0.04 0.32 0.33 -0.10 0.45 80.69 75.95 86.79 85.21 80.44 82.75 92.38 86.70 91.29 0.22 0.73 0.40 0.19 -0.15 0.23 0.21 -0.43 0.38 GS−MetaServer2 27
28 YASARA 80.69 75.69 86.59 83.84 77.24 81.93 93.83 81.65 91.05 0.31 0.79 0.41 0.03 -0.42 0.18 0.67 -1.01 0.41 80.69 75.69 86.80 84.60 81.76 82.52 93.83 86.14 91.34 0.22 0.66 0.40 0.05 0.09 0.18 0.64 -0.56 0.39 YASARA 28
29 PSI 80.69 71.88 86.54 85.21 83.38 82.97 92.60 83.71 90.82 0.31 -0.10 0.40 0.29 0.46 0.35 0.38 -0.64 0.37 80.69 71.88 86.54 85.21 83.38 82.97 92.60 83.71 90.82 0.22 -0.40 0.35 0.19 0.38 0.27 0.27 -1.11 0.28 PSI 29
30 LEE−SERVER 80.56 73.88 85.09 84.45 82.01 80.60 93.50 82.14 91.58 0.28 0.37 0.17 0.14 0.26 -0.04 0.60 -0.92 0.50 82.30 78.90 85.09 84.60 82.01 80.60 94.06 88.00 91.72 0.76 1.55 0.06 0.05 0.14 -0.20 0.71 -0.14 0.47 LEE−SERVER 30
31 3D−JIGSAW_V3 80.56 73.36 87.14 84.76 82.62 83.89 92.71 91.29 91.01 0.28 0.25 0.49 0.20 0.35 0.51 0.41 0.73 0.40 81.14 76.92 87.14 84.76 82.93 83.89 93.27 91.29 91.01 0.37 1.00 0.47 0.08 0.30 0.45 0.47 0.60 0.32 3D−JIGSAW_V3 31
32 SAM−T02−server 80.49 71.64 85.90 83.99 79.93 80.80 92.83 91.03 91.23 0.26 -0.16 0.30 0.06 -0.04 -0.01 0.44 0.68 0.44 80.49 71.64 85.90 83.99 79.93 80.80 92.83 91.03 91.23 0.15 -0.47 0.22 -0.10 -0.24 -0.16 0.34 0.55 0.37 SAM−T02−server 32
33 MULTICOM−REFINE 80.36 71.96 84.25 87.50 85.77 84.36 90.47 88.23 87.23 0.22 -0.08 0.05 0.73 0.80 0.59 -0.13 0.18 -0.20 80.36 75.43 84.98 87.96 85.92 84.36 92.71 89.65 90.89 0.11 0.58 0.04 0.85 0.84 0.55 0.30 0.23 0.30 MULTICOM−REFINE 33
34 OLGAFS 80.30 76.29 84.91 84.30 79.32 81.55 92.04 84.72 88.93 0.21 0.93 0.15 0.12 -0.13 0.12 0.25 -0.46 0.07 80.30 76.29 84.91 84.30 79.32 81.55 92.04 84.72 88.93 0.09 0.82 0.02 -0.03 -0.35 -0.01 0.10 -0.88 -0.11 OLGAFS 34
35 forecast 80.30 76.03 86.65 84.91 80.44 82.45 92.27 90.69 91.39 0.21 0.87 0.42 0.23 0.04 0.27 0.30 0.62 0.46 80.62 76.49 86.85 85.52 82.62 82.93 92.83 91.03 91.39 0.20 0.88 0.41 0.27 0.25 0.26 0.34 0.55 0.40 forecast 35
36 nFOLD3 80.30 71.47 85.65 83.54 81.40 80.19 92.83 91.03 91.23 0.21 -0.20 0.26 -0.03 0.17 -0.11 0.44 0.68 0.44 80.75 74.63 85.65 84.60 81.76 80.19 92.83 91.18 91.44 0.24 0.36 0.17 0.05 0.09 -0.28 0.34 0.58 0.41 nFOLD3 36
37 GeneSilicoMetaServer 80.23 75.84 85.95 84.15 79.57 81.25 92.49 86.14 90.85 0.19 0.83 0.31 0.09 -0.09 0.07 0.35 -0.20 0.38 81.27 75.95 87.30 86.43 83.23 83.82 92.83 88.64 91.41 0.42 0.73 0.50 0.49 0.35 0.44 0.34 0.01 0.41 GeneSilicoMetaServer 37
38 MUSTER 80.04 75.30 84.47 86.13 83.18 82.23 90.92 89.13 89.04 0.14 0.70 0.08 0.47 0.43 0.23 -0.02 0.34 0.09 80.04 75.30 84.47 86.13 83.18 82.23 90.92 89.13 89.04 -0.00 0.55 -0.06 0.41 0.35 0.13 -0.23 0.12 -0.09 MUSTER 38
39 Phyre2 79.97 72.31 85.20 83.38 80.13 81.64 91.59 89.87 89.88 0.12 0.00 0.19 -0.06 -0.01 0.13 0.14 0.47 0.22 79.97 72.31 85.20 83.38 80.13 81.64 91.59 89.87 89.88 -0.02 -0.28 0.08 -0.25 -0.20 0.01 -0.03 0.28 0.09 Phyre2 39
40 MUProt 79.91 72.46 84.54 87.81 85.67 84.57 90.58 88.94 87.52 0.10 0.04 0.09 0.79 0.79 0.62 -0.10 0.30 -0.15 80.17 75.86 84.90 87.81 85.67 84.57 92.60 88.94 90.89 0.04 0.70 0.02 0.82 0.79 0.59 0.27 0.07 0.30 MUProt 40
41 MULTICOM−CLUSTER 79.84 74.03 84.06 85.37 83.23 81.69 90.81 88.86 88.31 0.08 0.40 0.02 0.32 0.44 0.14 -0.05 0.29 -0.03 79.97 74.68 84.28 86.74 83.69 82.54 92.38 88.86 90.75 -0.02 0.38 -0.10 0.56 0.44 0.19 0.21 0.06 0.27 MULTICOM−CLUSTER 41
42 FALCON_CONSENSUS 79.78 73.02 84.96 84.91 81.05 84.61 91.14 88.83 89.05 0.07 0.17 0.15 0.23 0.12 0.63 0.03 0.28 0.09 79.78 73.02 84.96 84.91 81.05 84.61 91.14 89.05 89.05 -0.09 -0.09 0.03 0.12 -0.04 0.60 -0.17 0.10 -0.09 FALCON_CONSENSUS 42
43 FALCON 79.78 73.02 84.96 84.91 81.05 84.61 91.14 88.83 89.05 0.07 0.17 0.15 0.23 0.12 0.63 0.03 0.28 0.09 79.78 73.02 84.96 84.91 81.05 84.61 91.14 89.05 89.05 -0.09 -0.09 0.03 0.12 -0.04 0.60 -0.17 0.10 -0.09 FALCON 43
44 MUFOLD−Server 79.78 72.59 86.22 83.69 80.13 81.60 92.60 90.73 91.29 0.07 0.07 0.35 -0.00 -0.01 0.12 0.38 0.63 0.45 81.01 72.59 86.53 84.76 81.91 82.33 93.16 91.37 91.29 0.33 -0.20 0.35 0.08 0.12 0.15 0.44 0.62 0.38 MUFOLD−Server 44
45 Poing 79.78 72.16 85.07 82.93 79.57 81.34 91.59 89.87 89.88 0.07 -0.03 0.17 -0.15 -0.09 0.08 0.14 0.47 0.22 79.78 72.16 85.07 82.93 79.57 81.34 91.59 89.87 89.88 -0.09 -0.32 0.05 -0.36 -0.30 -0.05 -0.03 0.28 0.09 Poing 45
46 Phyre_de_novo 79.72 72.05 85.18 82.93 79.47 81.60 91.59 89.87 89.88 0.05 -0.06 0.19 -0.15 -0.10 0.12 0.14 0.47 0.22 79.72 72.05 85.18 82.93 79.47 81.60 91.59 89.87 89.88 -0.11 -0.35 0.08 -0.36 -0.32 0.00 -0.03 0.28 0.09 Phyre_de_novo 46
47 Phragment 79.72 72.05 85.18 82.93 79.47 81.60 91.59 89.87 89.88 0.05 -0.06 0.19 -0.15 -0.10 0.12 0.14 0.47 0.22 79.72 72.05 85.18 82.93 79.47 81.60 91.59 89.87 89.88 -0.11 -0.35 0.08 -0.36 -0.32 0.00 -0.03 0.28 0.09 Phragment 47
48 Pushchino 79.72 70.80 84.85 82.47 78.61 78.24 92.83 91.03 91.23 0.05 -0.35 0.14 -0.24 -0.23 -0.44 0.44 0.68 0.44 79.72 70.80 84.85 82.47 78.61 78.24 92.83 91.03 91.23 -0.11 -0.70 0.01 -0.47 -0.47 -0.66 0.34 0.55 0.37 Pushchino 48
49 MULTICOM−CMFR 79.65 75.17 84.40 81.56 77.29 78.03 92.38 90.73 90.86 0.03 0.67 0.07 -0.41 -0.42 -0.48 0.33 0.63 0.38 79.65 75.17 84.40 81.56 77.29 78.03 92.38 90.73 90.86 -0.13 0.51 -0.08 -0.68 -0.71 -0.70 0.21 0.48 0.29 MULTICOM−CMFR 49
50 3D−JIGSAW_AEP 79.52 70.87 86.65 84.91 82.37 83.08 91.93 89.91 90.83 -0.00 -0.34 0.42 0.23 0.31 0.37 0.22 0.48 0.38 80.49 72.29 86.65 84.91 82.37 83.08 91.93 89.98 90.83 0.15 -0.29 0.37 0.12 0.20 0.29 0.07 0.31 0.28 3D−JIGSAW_AEP 50
51 panther_server 79.33 71.15 83.84 85.21 80.44 80.29 90.81 89.61 88.04 -0.05 -0.27 -0.02 0.29 0.04 -0.10 -0.05 0.43 -0.07 79.33 71.15 83.84 85.21 80.44 80.29 90.81 89.61 88.04 -0.24 -0.60 -0.19 0.19 -0.15 -0.26 -0.27 0.22 -0.30 panther_server 51
52 Pcons_dot_net 78.88 74.40 81.86 81.86 78.91 76.39 91.26 89.54 87.52 -0.17 0.49 -0.32 -0.35 -0.18 -0.75 0.06 0.41 -0.15 81.46 74.40 87.22 85.98 83.84 83.53 93.16 91.82 91.63 0.48 0.30 0.48 0.38 0.46 0.38 0.44 0.72 0.45 Pcons_dot_net 52
53 3Dpro 78.55 74.03 80.87 82.01 74.29 75.00 91.03 74.55 87.64 -0.26 0.40 -0.48 -0.32 -0.85 -0.99 0.01 -2.30 -0.13 79.00 74.03 80.96 82.17 79.22 75.00 91.03 88.23 87.94 -0.35 0.20 -0.76 -0.54 -0.36 -1.30 -0.20 -0.09 -0.32 3Dpro 53
54 MULTICOM−RANK 78.23 66.26 77.84 86.74 83.69 82.54 85.20 81.69 77.21 -0.35 -1.42 -0.94 0.58 0.50 0.28 -1.39 -1.01 -1.79 78.88 73.79 82.54 86.74 83.69 82.54 89.91 87.37 86.07 -0.39 0.13 -0.45 0.56 0.44 0.19 -0.54 -0.28 -0.71 MULTICOM−RANK 54
55 Frankenstein 78.04 73.51 80.24 78.66 74.19 75.07 89.69 83.63 88.37 -0.40 0.28 -0.57 -0.97 -0.86 -0.97 -0.32 -0.66 -0.02 78.04 73.51 80.24 78.66 74.19 75.07 89.69 83.63 88.37 -0.68 0.05 -0.91 -1.38 -1.27 -1.29 -0.60 -1.13 -0.23 Frankenstein 55
56 CpHModels 77.26 70.63 77.04 78.81 74.54 70.43 88.90 86.66 84.52 -0.61 -0.39 -1.07 -0.94 -0.81 -1.75 -0.50 -0.11 -0.63 77.26 70.63 77.04 78.81 74.54 70.43 88.90 86.66 84.52 -0.94 -0.75 -1.54 -1.35 -1.20 -2.21 -0.84 -0.44 -1.03 CpHModels 56
57 3DShot2 75.97 70.07 73.94 75.92 68.60 70.95 88.12 82.29 80.32 -0.95 -0.53 -1.55 -1.49 -1.67 -1.67 -0.69 -0.90 -1.30 75.97 70.07 73.94 75.92 68.60 70.95 88.12 82.29 80.32 -1.38 -0.90 -2.16 -2.04 -2.27 -2.11 -1.08 -1.43 -1.91 3DShot2 57
58 rehtnap 75.65 70.52 77.79 75.61 73.17 69.27 89.80 87.41 86.30 -1.04 -0.42 -0.95 -1.55 -1.01 -1.95 -0.29 0.03 -0.35 75.65 70.52 77.79 75.92 73.17 69.65 89.80 87.41 86.30 -1.49 -0.78 -1.39 -2.04 -1.45 -2.36 -0.57 -0.27 -0.66 rehtnap 58
59 Distill 67.70 59.09 65.47 73.48 65.85 67.09 76.01 70.78 68.15 -3.17 -3.10 -2.85 -1.96 -2.06 -2.31 -3.59 -2.98 -3.23 67.70 59.09 65.74 73.48 67.73 67.49 76.01 70.78 68.62 -4.18 -3.95 -3.79 -2.63 -2.43 -2.79 -4.72 -4.03 -4.36 Distill 59
60 ACOMPMOD 64.02 55.28 57.51 61.74 48.73 57.39 73.77 67.64 63.19 -4.16 -3.99 -4.08 -4.21 -4.53 -3.94 -4.12 -3.54 -4.02 64.02 55.28 57.51 61.74 48.73 57.39 73.77 67.64 63.19 -5.42 -5.01 -5.42 -5.45 -5.84 -4.79 -5.39 -4.74 -5.49 ACOMPMOD 60
61 FUGUE_KM 61.69 53.38 53.95 59.15 48.98 53.34 72.08 67.00 59.66 -4.78 -4.44 -4.63 -4.71 -4.49 -4.63 -4.53 -3.66 -4.59 61.69 53.38 53.95 59.15 49.09 54.62 72.08 67.00 59.66 -6.21 -5.53 -6.13 -6.07 -5.77 -5.33 -5.90 -4.88 -6.23 FUGUE_KM 61
62 LOOPP_Server 57.43 50.93 50.20 54.88 45.22 46.84 68.83 58.37 59.16 -5.93 -5.01 -5.21 -5.53 -5.03 -5.72 -5.30 -5.22 -4.66 61.56 53.30 58.54 59.15 49.49 57.20 70.29 62.44 63.51 -6.26 -5.56 -5.22 -6.07 -5.70 -4.82 -6.44 -5.91 -5.43 LOOPP_Server 62
63 Pcons_local 37.15 27.99 34.42 56.86 49.75 57.59 32.73 27.05 25.30 -11.36 -10.40 -7.65 -5.15 -4.38 -3.91 -13.94 -10.88 -10.05 81.46 72.22 87.22 85.98 83.84 83.53 93.16 91.82 91.63 0.48 -0.31 0.48 0.38 0.46 0.38 0.44 0.72 0.45 Pcons_local 63
64 mariner1 24.61 20.65 8.28 0.00 0.00 -16.64 42.71 35.91 35.48 -14.73 -12.12 -11.68 -16.06 -11.54 -16.39 -11.55 -9.28 -8.43 25.07 20.65 18.00 58.38 47.61 58.05 42.71 35.91 35.48 -18.61 -14.61 -13.28 -6.25 -6.04 -4.66 -14.73 -11.90 -11.29 mariner1 64
65 FOLDpro 23.58 21.47 25.72 53.66 48.48 52.96 12.56 11.58 15.54 -15.00 -11.92 -8.99 -5.76 -4.56 -4.69 -18.76 -13.67 -11.61 35.14 26.05 29.38 53.66 48.48 52.96 38.45 29.26 37.01 -15.20 -13.12 -11.02 -7.39 -5.88 -5.66 -16.01 -13.41 -10.97 FOLDpro 65
66 MUFOLD−MD 8.59 7.28 21.73 15.70 12.25 29.41 12.44 10.24 25.71 -19.02 -15.25 -9.61 -13.05 -9.78 -8.65 -18.79 -13.91 -9.99 10.08 8.70 24.74 21.65 16.97 29.81 17.49 15.10 30.92 -23.68 -17.93 -11.94 -15.08 -11.54 -10.24 -22.31 -16.60 -12.24 MUFOLD−MD 66
67 RBO−Proteus 7.11 6.61 18.22 15.55 11.59 25.01 11.88 10.91 22.61 -19.42 -15.41 -10.15 -13.08 -9.87 -9.39 -18.92 -13.79 -10.48 8.33 7.49 18.33 16.77 14.53 25.28 11.88 10.91 22.75 -24.28 -18.26 -13.21 -16.25 -11.98 -11.14 -24.00 -17.55 -13.95 RBO−Proteus 67
68 RANDOM 6.80 5.60 6.80 13.32 11.03 13.32 10.95 9.18 10.95 -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34 6.80 5.60 6.80 13.32 11.03 13.32 10.95 9.18 10.95 -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 RANDOM 68
69 schenk−torda−server 4.97 4.50 4.41 10.06 9.04 13.36 7.96 7.36 6.60 -19.99 -15.91 -12.28 -14.13 -10.24 -11.35 -19.86 -14.43 -13.03 5.49 4.84 6.41 10.37 9.04 13.36 9.42 8.30 10.61 -25.24 -19.00 -15.58 -17.79 -12.96 -13.50 -24.74 -18.14 -16.49 schenk−torda−server 69
70 BHAGEERATH                                                       -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34                                                       -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 BHAGEERATH 70
71 Fiser−M4T                                                       -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34                                                       -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 Fiser−M4T 71
72 huber−torda−server                                                       -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34                                                       -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 huber−torda−server 72
73 mahmood−torda−server                                                       -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34                                                       -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 mahmood−torda−server 73
74 test_http_server_01                                                       -19.50 -15.65 -11.91 -13.50 -9.95 -11.35 -19.14 -14.10 -12.34                                                       -24.79 -18.79 -15.50 -17.08 -12.60 -13.50 -24.28 -17.94 -16.42 test_http_server_01 74