Pcons.net Protein Structure Prediction

Pcons.net Protein Structure Prediction Meta Server

Thursday, April 18 2024

Main Menu

Submission

23203 : Model of Mixed

Your submitted sequence: sequence (560 aa)

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

PMODELLER (only used 49 models from 4 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.6	-0.139E+03	0.293	0.342	0.536	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.6	17.000	0.307	0.351	0.529	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	pgenthreader.7	17.000	0.000	-0.003	-0.015	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
4	ffas.7	-0.987E+02	0.241	0.270	0.388	1JSD_A	3.90.209.20.1.1 2.10.77.10.1.1
5	pgenthreader.10	19.000	0.303	0.320	0.388	1JSD_A	3.90.209.20.1.1 2.10.77.10.1.1
6	rpsblast.3	1e-134	0.264	0.289	0.388	1JSD_A	3.90.209.20.1.1 2.10.77.10.1.1
7	ffas.17	-0.940E+02	0.240	0.266	0.370	1JSM_A	3.90.209.20.1.2 2.10.77.10.1.2
8	ffas.18	-0.939E+02	0.227	0.253	0.358	1RD8_A	2.10.77.10.1.2 3.90.209.20.1.3
9	ffas.19	-0.938E+02	0.236	0.265	0.381	1RUY_H	2.10.77.10.1.2 3.90.209.20.1.3
10	ffas.14	-0.941E+02	0.238	0.265	0.371	1RUZ_H	2.10.77.10.1.2 3.90.209.20.1.3

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.