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. 2019 May 2;47(W1):W408–W413. doi: 10.1093/nar/gkz322

Table 1.

Independent benchmarking of tertiary structure predictions with CAMEO 3D data. Performance results for 3 months of data (26 October 2018 to 19 January 2019) are shown for all (250) targets and all (17) public methods. Data are sorted by average lDDT score for all targets. The scores for the IntFOLD-TS methods are indicated in bold. Data are taken from the CAMEO 3D front page http://www.cameo3d.org/ on 19 January 2019.

Average lDDT Average lDDT-BS
Server name All targets Modelled targets All targets Modelled targets
IntFOLD5-TS 68.04 68.04 70.94 70.94
RaptorX 67.38 67.38 68.45 68.45
Robetta 65.51 69.1 63.24 66.11
HHpredB 64.06 64.06 68.59 68.59
SWISS-MODEL 62.22 62.97 64.85 65.56
IntFOLD4-TS 55.02 68.1 58.12 73.25
SPARKS-X 54.63 60.7 58.07 66.78
M4T-SMOTIF-TF 54.45 60.77 62.92 65.78
IntFOLD3-TS 53.75 66.85 55.76 69.33
PRIMO 51.74 57.48 58.32 64.65
PRIMO_BST_CL 51.71 57.45 58.32 64.65
NaiveBLAST 50.34 55.69 60.08 62.11
PRIMO_BST_3D 49.83 55.86 57.99 63.51
PRIMO_HHS_3D 48.27 55.87 56.49 62.62
PRIMO_HHS_CL 46.73 56.43 55.55 61.58
Princeton_TEMPLATE 24.46 54.61 25.63 58.95
Phyre2 24.06 52.77 29.27 67.31