EM Model Challenge - 2019
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Results
model coordinates only
fit to EM map
vs reference structure
vs other models
Comparative Analyses
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Model Ranks (per target)
Models Pair-wise Comparison
Scores Pair-wise Comparison
Group Ranks (across targets)
Target:
--all--
Human Apoferritin: T0101 (emd_20026_1)
Human Apoferritin: T0102 (emd_20027_2)
Human Apoferritin: T0103 (emd_20028_2)
Horse Liver Alcohol Dehydrogenase: T0104 (emd_0406)
Scores:
--all--
Clashscore
Rotamer outliers
Rama outliers
Rama favored
CaBLAM conf. outliers
CaBLAM Ca outliers
PROQ
SMOC
box CC
CC(mask)
CC(peaks)
Resol.(FSC=0.5)
FSCavg
EMringer
Q-score(noH)
AtomIncl.(BB)
GDT_TS(o)
GDC_ALL(o)
LDDT(o)
RMSD(Ca)(o)
QS-score(glob)
HB Prec.6
GDT_TS
GDC_ALL
LDDT
RMSD(Ca)
CAD
DAVIS_QA
Filter by method:
ab-initio
optimized cryoEM model
fully automated
partially automated, with some manual steps
Model:
all
Reference-free Scores
worse
64
32
16
8
4
2
better
Clashscore
64
32
16
8
4
2
1
0
Rotamer outliers
64
32
16
8
4
2
1
0
Rama outliers
75
80
85
90
95
100
Rama favored
64
32
16
8
4
2
1
0
CaBLAM conf. outliers
64
32
16
8
4
2
1
0
CaBLAM Ca outliers
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
PROQ
vs EM Map Scores
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
SMOC
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
box CC
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
CC(mask)
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
CC(peaks)
8
7
6
5
4
3
2
1
0
Resol.(FSC=0.5)
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
FSCavg
0
1
2
3
4
5
6
7
8
EMringer
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Q-score(noH)
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
AtomIncl.(BB)
vs Structure Scores (monomers)
0
10
20
30
40
50
60
70
80
90
100
GDT_TS
0
10
20
30
40
50
60
70
80
90
100
GDC_ALL
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
LDDT
7
6
5
4
3
2
1
0
RMSD(Ca)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
CAD
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
DAVIS_QA
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