1. 3D - Protein Structure Prediction
  2. Targets for 1-month
  3. Server IntFOLD7

CAMEO-3D: Server Pairwise Comparison 1-month Performance (2022-03-25 - 2022-04-16)

The pairwise comparison is showing the average differences of the reference with all the other servers, each on a common data subset. It is misleading to compare further servers among each other, without selecting a new reference as for each server pair the common subset may differ. Numbers in green denote scores where the reference server is better, numbers in red where another server was outperforming the reference server.

IntFOLD7 - Pairwise Comparison on common targets - dataset: 1-month [2022-03-25 - 2022-04-16]
Server Name
Targets
modeled		 Oligo-Targets
modeled		 Avg. Response Time
(hh:mm:ss)		 Avg.
lDDT 		Avg.
CAD-score 		Avg.
lDDT-BS 		Avg.
QS-score 		Avg.
MM-align
Dif. Com. Dif. Com. Dif. Ref Dif. Ref. Dif. Ref. Dif. Ref. Dif. Ref. Dif. Ref.
IntFOLD7 - Reference
Naive AlphaFoldDB 100 41 14 0 0 --24:59:21 23:01:34 3.22 85.19 3.28 79.86 -0.35 88.73 - - - - server100 True
PaFold 55 0 0 0 - - - - - - - - - - - - server101 True
HeliXonAI -5 55 0 0 -45:32:29 27:11:55 -2.74 83.93 -2.49 79.56 0.32 88.39 - - - - server104 False
RocketX -5 55 0 0 -04:49:57 27:11:55 22.40 83.93 16.29 79.56 27.87 88.39 - - - - server106 False
OpenComplex -5 55 0 0 -40:51:32 27:11:55 3.38 83.93 2.27 79.56 7.18 88.39 - - - - server111 False
SADA -5 55 0 0 -49:32:54 27:11:55 -3.01 83.93 -2.83 79.56 0.08 88.39 - - - - server112 False
Robetta 55 0 0 0 - - - - - - - - - - - - server11 True
ZJUT-DeepAssembly -3 53 0 0 -43:28:03 27:20:50 -2.99 83.69 -2.63 79.39 2.69 88.39 - - - - server120 False
MultiDFold 10 41 0 0 -52:27:06 28:19:46 24.43 81.93 13.68 78.14 31.45 87.85 - - - - server121 False
MEGA-EvoGen -5 55 0 0 -40:30:41 27:11:55 -2.43 83.93 -2.44 79.56 1.36 88.39 - - - - server122 False
AIRFold 11 39 0 0 -36:52:38 26:44:47 -3.53 82.91 -3.09 79.05 0.30 88.63 - - - - server127 False
Phyre2 -4 54 0 0 --26:14:30 27:18:08 29.15 84.54 23.49 79.98 28.02 88.39 - - - - server17 False
RoseTTAFold -1 53 0 0 --16:12:21 26:41:53 10.16 84.51 7.62 80.08 21.34 88.39 - - - - server19 False
SWISS-MODEL -4 54 0 0 --28:11:14 27:54:10 19.68 84.23 16.82 79.87 19.98 88.39 - - - - server20 False
RaptorX 36 19 0 0 --14:27:47 22:49:24 19.99 83.85 14.25 80.20 12.33 88.63 - - - - server22 False
SPARKS-X 55 0 0 0 - - - - - - - - - - - - server30 True
IntFOLD3-TS 4 46 0 0 -14:10:21 27:36:40 18.59 82.82 14.69 78.72 18.61 87.37 - - - - server33 False
NaiveBLAST 3 48 0 0 --27:05:38 26:54:40 29.72 84.78 26.95 80.28 29.76 88.76 - - - - server36 False
IntFOLD4-TS 0 50 0 0 -21:16:47 27:43:12 16.31 83.17 12.71 79.05 19.11 88.39 - - - - server58 False
PRIMO 18 34 0 0 --24:36:41 26:11:55 32.61 81.70 26.16 78.21 45.13 88.76 - - - - server61 False
PRIMO_BST_3D 26 26 0 0 --23:58:01 24:47:00 39.29 80.55 31.15 77.12 54.76 88.68 - - - - server62 False
PRIMO_HHS_3D 48 6 0 0 --16:48:39 17:59:59 42.52 76.83 34.37 76.06 17.25 99.75 - - - - server63 True
PRIMO_HHS_CL 46 9 0 0 --17:47:28 19:42:19 33.14 76.30 26.57 74.64 57.45 92.33 - - - - server64 True
PRIMO_BST_CL 18 33 0 0 --24:09:55 26:37:55 35.74 81.88 28.42 78.01 49.20 89.77 - - - - server65 False
IntFOLD5-TS -5 55 0 0 -03:08:27 27:11:55 15.89 83.93 12.55 79.56 16.20 88.39 - - - - server75 False
IntFOLD6-TS 1 49 0 0 -00:46:39 25:36:05 16.15 83.57 13.18 79.36 17.03 88.31 - - - - server90 False
pureAF2_orig 0 50 0 0 --13:46:31 27:31:30 -3.48 83.38 -3.13 79.16 -0.28 87.40 - - - - server96 False
pureAF2_notemp -5 55 0 0 --7:43:44 27:11:55 -2.95 83.93 -2.70 79.56 0.83 88.39 - - - - server97 False
ZlxFold 25 30 0 0 -35:35:19 24:44:42 0.00 86.20 -0.32 81.62 0.44 87.16 - - - - server98 False
BestSingleStructuralTemplate -1 52 0 0 --23:09:13 27:04:18 11.41 83.80 9.08 79.50 11.89 88.59 - - - - server999 False
Naive AlphaFoldDB 90 33 20 0 0 --29:40:34 28:19:46 4.67 84.73 4.94 79.66 0.17 88.73 - - - - server99 False
IntFOLD7 - model_1 per target comparison with the best: 1-month - [2022-03-25 - 2022-04-16]
Target
ref. PDB lDDT CAD-score lDDT-BS QS-score MM-align Difficulty
Diff Ref Best Diff Ref Best Diff Ref Best Diff Ref Best Diff Ref Best