CAMEO - Continuous Automated Model EvaluatiOn - Protein Structure Prediction

Server Performance: 1-week - [2022-04-16]

Server Name	Avg. response time (hh:mm:ss)	Average lDDT				Average lDDT-BS				Average QS-score				Average MM-align
Server Name	Avg. response time (hh:mm:ss)	1st Quart. (Average lDDT)	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets

Server Name	Avg. response time (hh:mm:ss)	Average lDDT				Average lDDT-BS				Average QS-score				Average MM-align
Server Name	Avg. response time (hh:mm:ss)	1st Quart. (Average lDDT)	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets	1st Quart.	3rd Quart.	All Targets	Modeled Targets
HeliXonAI	76:37:40	84.67	89.40	87.17	87.17	69.66	87.79	52.48	78.73	-	-	-	-	-	-	-	-
MEGA-EvoGen	47:58:31	83.55	89.07	86.56	86.56	68.13	86.74	51.62	77.44	-	-	-	-	-	-	-	-
AIRFold	27:40:30	83.24	89.37	86.32	86.32	70.60	87.23	52.61	78.91	-	-	-	-	-	-	-	-
pureAF2_orig	12:33:31	83.10	88.69	86.02	86.02	70.29	87.78	52.69	79.04	-	-	-	-	-	-	-	-
pureAF2_notemp	13:41:09	83.07	88.54	85.97	85.97	70.57	87.87	52.81	79.22	-	-	-	-	-	-	-	-
PAthreader	25:01:25	83.35	88.21	85.85	85.85	69.20	85.48	51.56	77.34	-	-	-	-	-	-	-	-
OpenComplex	48:54:35	82.47	89.10	85.82	85.82	68.87	86.34	51.74	77.61	-	-	-	-	-	-	-	-
ZJUT-DeepAssembly	72:44:36	81.99	88.38	85.28	85.28	69.90	86.76	52.22	78.33	-	-	-	-	-	-	-	-
ManiFold	59:00:40	81.56	87.41	84.99	84.99	69.03	87.17	52.07	78.10	-	-	-	-	-	-	-	-
SADA	78:24:10	81.69	88.38	84.67	84.67	69.84	86.74	52.19	78.29	-	-	-	-	-	-	-	-
MultiDFold	79:48:21	70.90	83.77	76.77	76.77	62.63	65.79	42.81	64.21	-	-	-	-	-	-	-	-
RoseTTAFold	66:52:26	73.82	75.37	61.64	73.97	58.47	67.47	41.98	62.97	-	-	-	-	-	-	-	-
BestSingleStructuralTemplate	05:10:38	57.15	65.14	61.09	61.09	34.29	74.64	36.31	54.47	-	-	-	-	-	-	-	-
IntFOLD6-TS	26:27:27	54.27	62.97	58.59	58.59	69.88	85.42	51.77	77.65	-	-	-	-	-	-	-	-
IntFOLD5-TS	28:49:50	53.52	61.62	56.55	56.55	69.12	84.65	51.26	76.88	-	-	-	-	-	-	-	-
IntFOLD7	31:02:54	51.36	69.26	54.80	65.76	94.80	94.80	31.60	94.80	-	-	-	-	-	-	-	-
IntFOLD4-TS	60:37:43	49.39	57.85	54.20	54.20	68.52	82.86	50.46	75.69	-	-	-	-	-	-	-	-
RocketX	41:26:50	45.05	64.40	53.41	53.41	21.15	31.03	17.39	26.09	-	-	-	-	-	-	-	-
IntFOLD3-TS	44:26:23	48.37	55.75	52.65	52.65	63.10	80.15	47.75	71.62	-	-	-	-	-	-	-	-
SWISS-MODEL	00:04:47	34.33	56.34	45.48	45.48	0.00	92.13	30.71	46.06	22.55	62.62	31.31	41.74	52.29	81.19	49.44	65.92
Phyre2	01:15:01	33.99	47.14	32.33	38.80	20.10	60.30	26.80	40.20	-	-	-	-	-	-	-	-
PRIMO_BST_CL	02:25:34	19.01	36.94	31.36	31.36	34.98	49.16	28.05	42.07	-	-	-	-	-	-	-	-
PRIMO	02:20:29	17.98	38.48	25.98	31.17	56.25	56.25	18.75	56.25	-	-	-	-	-	-	-	-
PRIMO_BST_3D	02:46:10	15.89	36.53	25.38	30.46	53.69	53.69	17.90	53.69	-	-	-	-	-	-	-	-
NaiveBLAST	00:00:13	14.07	23.69	15.69	23.53	27.71	47.91	25.21	37.81	-	-	-	-	-	-	-	-
Naive AlphaFoldDB 90	00:00:41	87.28	87.28	14.55	87.28	-	-	-	-	-	-	-	-	-	-	-	-
Naive AlphaFoldDB 100	00:00:20	87.26	87.26	14.54	87.26	-	-	-	-	-	-	-	-	-	-	-	-
PRIMO_HHS_CL	02:26:32	21.00	21.00	3.50	21.00	-	-	-	-	-	-	-	-	-	-	-	-
PaFold	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Robetta	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
RaptorX	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
SPARKS-X	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
PRIMO_HHS_3D	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
ZlxFold	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-



HeliXonAI
MEGA-EvoGen
AIRFold
pureAF2_orig
pureAF2_notemp
PAthreader
OpenComplex
ZJUT-DeepAssembly
ManiFold
SADA
MultiDFold
RoseTTAFold
BestSingleStructuralTemplate
IntFOLD6-TS
IntFOLD5-TS
IntFOLD7
IntFOLD4-TS
RocketX
IntFOLD3-TS
SWISS-MODEL
Phyre2
PRIMO_BST_CL
PRIMO
PRIMO_BST_3D
NaiveBLAST
Naive AlphaFoldDB 90
Naive AlphaFoldDB 100
PRIMO_HHS_CL
PaFold
Robetta
RaptorX
SPARKS-X
PRIMO_HHS_3D
ZlxFold

Target list: 1-week - [2022-04-16]

Target	Submission Date	Difficulty	Quaternary State of Target	# of Monomeric Models (Homo-oligomeric)	ref. PDB [Chain]	Sequence Length (residues)	Method	Resolution

CAMEOContinuous Automated Model EvaluatiOn

CAMEO-3D: Targets 1-week Performance (2022-04-16)