Pcons.net Protein Structure Prediction

Pcons.net Protein Structure Prediction Meta Server

Friday, April 26 2024

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Submission

23541 : model4

Your submitted sequence: sequence (567 aa)

Ready methods: PCONS PMODELLER ffas pgenthreader rpsblast
Queued locally: lomets itasser

PMODELLER (only used 39 models from 3 methods the score is NOT RELIABLE, models are sorted by average local predicted S-score (ProQres)

Rank	Model	Method Score	Pcons	Pcomb	ProQ2	Template	CATH
1	ffas.2	-0.134E+03	0.291	0.326	0.467	1HA0_A	3.30.160.60.2.1 3.30.160.60.1.1 3.30.160.60.1.2 3.40.190.10.14.1 3.90.76.10.1.1 3.10.105.10.1.1 3.40.50.1400.1.1 3.40.50.1400.2.1 3.90.1240.10.3.1 3.30.590.10.2.2 3.10.20.70.1.2 3.90.190.10.2.1 3.10.130.10.2.1 3.90.209.20.2.1 3.90.20.10.4.1 3.40.50.10230.1.1 2.40.280.10.1.1 3.30.70.940.1.1 2.60.320.10.1.1 3.20.20.150.1.1 1.10.10.10.74.1 3.40.390.10.14.1 1.10.1380.10.1.1 3.30.40.10.12.1 2.30.29.30.6.1 1.50.10.100.3.1 2.70.98.10.1.2 2.60.220.10.4.1 2.40.70.10.2.1 3.30.470.10.2.1 3.20.10.10.2.1 3.20.20.70.13.3 3.40.366.10.1.1 3.30.70.250.1.1
2	pgenthreader.1	225.444	0.263	0.304	0.469	1HA0_A	3.30.160.60.2.1 3.30.160.60.1.1 3.30.160.60.1.2 3.40.190.10.14.1 3.90.76.10.1.1 3.10.105.10.1.1 3.40.50.1400.1.1 3.40.50.1400.2.1 3.90.1240.10.3.1 3.30.590.10.2.2 3.10.20.70.1.2 3.90.190.10.2.1 3.10.130.10.2.1 3.90.209.20.2.1 3.90.20.10.4.1 3.40.50.10230.1.1 2.40.280.10.1.1 3.30.70.940.1.1 2.60.320.10.1.1 3.20.20.150.1.1 1.10.10.10.74.1 3.40.390.10.14.1 1.10.1380.10.1.1 3.30.40.10.12.1 2.30.29.30.6.1 1.50.10.100.3.1 2.70.98.10.1.2 2.60.220.10.4.1 2.40.70.10.2.1 3.30.470.10.2.1 3.20.10.10.2.1 3.20.20.70.13.3 3.40.366.10.1.1 3.30.70.250.1.1
3	ffas.16	-0.770E+02	0.152	0.181	0.298	1JSD_A	3.90.209.20.1.1 2.10.77.10.1.1
4	pgenthreader.8	131.877	0.117	0.151	0.285	1JSD_A	3.90.209.20.1.1 2.10.77.10.1.1
5	rpsblast.6	1e-101	0.098	0.097	0.095	1JSD_B	3.90.20.10.1.1
6	ffas.14	-0.774E+02	0.129	0.160	0.284	1MQL_A	3.90.209.20.2.1
7	ffas.18	-0.769E+02	0.137	0.166	0.282	1RU7_A	2.10.77.10.1.2 3.90.209.20.1.3
8	pgenthreader.9	130.813	0.153	0.180	0.286	1RVX_A	2.10.77.10.1.2 3.90.209.20.1.3
9	ffas.9	-0.788E+02	0.142	0.130	0.082	1TI8_B	3.90.20.10.1.2
10	ffas.10	-0.783E+02	0.153	0.145	0.114	2FK0_B	3.90.20.10.1.1

References

Automatic consensus based fold recognition using Pcons, ProQ and Pmodeller. Björn Wallner, Huisheng Fang and Arne Elofsson (2003). Proteins. 53 Suppl 6:534-541.
Pcons5: combining consensus, structural evaluation and fold recognition scores. Björn Wallner and Arne Elofsson (2005). Bioinformatics., 21(23):4248-4254.
Identification of correct regions in protein models using structural, alignment and consensus information. Björn Wallner and Arne Elofsson (2006). Protein Sci., 15(4):900-913.