T0554.t2k.w0.5

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1r22A	122	1.21e-01		a.4.5.5
3ledA	392	2.85e-01
1r1tA	122	3.42e-01		a.4.5.5
1smtA	122	3.42e-01	1smtA	a.4.5.5
3hrsA	214	9.09e-01
1ebvA	551	1.01e+00	1cqeA	a.93.1.2
				g.3.11.1
1pthA	576	1.01e+00		a.93.1.2
				g.3.11.1
1u67A	600	1.30e+00		a.93.1.2
				g.3.11.1
1ht8A	551	1.31e+00	1cqeA	a.93.1.2
				g.3.11.1
1q4gA	553	1.31e+00		a.93.1.2
				g.3.11.1
1igzA	576	1.31e+00		a.93.1.2
				g.3.11.1
1eqgA	580	1.32e+00	1cqeA	a.93.1.2
				g.3.11.1
1cqeA	580	1.32e+00	1cqeA	a.93.1.2
				g.3.11.1
1prhA	554	1.32e+00	1cqeA	a.93.1.2
				g.3.11.1
2oyuP	600	1.32e+00		a.93.1.2
				g.3.11.1
1yifA	533	2.07e+00		b.29.1.23
				b.67.2.1
2od5A	116	2.67e+00		a.4.5.70
2nxfA	322	3.43e+00		d.159.1.12
1xa0A	328	4.49e+00		b.35.1.2
				c.2.1.1
1idrA	136	4.71e+00	1dlyA	a.1.1.1
4gtuA	217	5.67e+00	1b8xA	a.45.1.1
				c.47.1.5
2cmjA	410	5.85e+00
1lhpA	312	6.33e+00		c.72.1.5
2cskA	146	6.43e+00
1a6sA	87	6.72e+00		a.61.1.4
2glnA	136	7.17e+00
3cqfA	489	8.26e+00
1zcoA	262	8.65e+00
3maxA	367	9.24e+00
2gknA	136	1.01e+01
2gtxA	261	1.03e+01		d.127.1.1
2p99A	261	1.03e+01		d.127.1.1
2p9aA	262	1.03e+01		d.127.1.1
2ggcA	263	1.03e+01		d.127.1.1
2gu5A	263	1.03e+01		d.127.1.1
1xnzA	264	1.04e+01		d.127.1.1
2i3oA	516	1.17e+01		d.153.1.6
1ouwA	152	1.18e+01		b.77.3.1
1db2A	377	1.22e+01	1sek	e.1.1.1
3eoxA	379	1.22e+01
1oc0A	379	1.30e+01		e.1.1.1
2z0sA	235	1.32e+01		b.40.4.5
				d.51.1.1
3cvmA	392	1.34e+01
3kglA	466	1.34e+01
2eo6A	141	1.40e+01
1rq1A	386	1.47e+01		a.227.1.1
1nnvA	110	1.48e+01		d.17.7.1
1rp4A	389	1.49e+01		a.227.1.1
1bxxA	285	1.50e+01	1bw8A	b.2.7.1
1t0lA	414	1.53e+01		c.77.1.1
1bjfA	193	1.53e+01	1rec	a.39.1.5
1h6eA	288	1.60e+01		b.2.7.1
2wzgA	525	1.61e+01
3jszA	525	1.61e+01
3bpoA	127	1.78e+01
2pr9A	299	1.82e+01		b.2.7.1
1t3vA	124	1.88e+01		c.55.5.1
1o13A	136	1.97e+01		c.55.5.1
2jngA	105	1.98e+01		b.34.9.4
2i61A	62	1.99e+01
3h0kA	178	2.04e+01
3lw7A	179	2.04e+01
3l9aX	88	2.08e+01
2ggzA	211	2.12e+01
2o70A	174	2.19e+01		a.288.1.1
9paiA	346	2.25e+01	1sek	e.1.1.1
1tbrR	103	2.27e+01	1tbrR	g.68.1.1
				g.68.1.1
1lj5A	379	2.27e+01		e.1.1.1
3fhxA	312	2.32e+01
2yxtA	312	2.33e+01
3fhyA	312	2.33e+01
1c5gA	402	2.34e+01	1sek	e.1.1.1
1a7cA	379	2.37e+01	1sek	e.1.1.1
2f7kA	327	2.41e+01
1wcwA	261	2.43e+01
1wd7A	261	2.43e+01		c.113.1.1
2vrsA	211	2.46e+01
2ajpA	326	2.50e+01
2gkmA	136	2.53e+01
2gauA	232	2.54e+01		a.4.5.4
				b.82.3.2
3hkoA	345	2.57e+01
3djsA	127	2.66e+01
1i31A	314	2.70e+01	1bw8A	b.2.7.1
1bw8A	321	2.72e+01	1bw8A	b.2.7.1

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1wl7A	312	2.78e+01		b.67.2.1
1o0xA	262	2.84e+01		d.127.1.1
3i00A	120	2.85e+01
3e97A	231	2.90e+01
1bxsA	501	2.91e+01	1bpwA	c.82.1.1
1ergA	70	2.93e+01		g.7.1.3
2g18A	253	2.96e+01
3innA	314	3.01e+01
3kkcA	177	3.03e+01
2f77X	100	3.04e+01
1cdqA	77	3.04e+01		g.7.1.3
2ux2A	78	3.09e+01		g.7.1.3
2uwrA	79	3.11e+01		g.7.1.3
2zdjA	69	3.11e+01
2j8bA	79	3.14e+01		g.7.1.3
1fh2A	129	3.18e+01	1etb1	b.3.4.1
1eta1	128	3.18e+01	1etb1
3l0zA	350	3.20e+01
2b1mA	246	3.21e+01
3d60A	314	3.22e+01
3cu9A	314	3.22e+01
3d61A	314	3.23e+01
1zxaA	67	3.23e+01
1dvmA	379	3.24e+01	1sek	e.1.1.1
3d5yA	314	3.25e+01
2uykA	129	3.28e+01
3louA	292	3.33e+01
2qgqA	304	3.42e+01
2imlA	199	3.48e+01		b.45.1.4
3eo7A	511	3.48e+01
3eafA	391	3.53e+01
1au1A	166	3.53e+01	1ifa	a.26.1.3
1vs1A	276	3.59e+01
2hh8A	149	3.60e+01		d.358.1.1
2q18X	293	3.69e+01
1zrhA	274	3.82e+01
1w4xA	542	3.82e+01		c.3.1.5
				c.3.1.5
1x7sA	127	3.91e+01
2bsfA	176	3.96e+01

Please cite the following papers:

Karplus, K. and Karchin, R. and Barrett, C. and Tu, S. and Cline, M. and Diekhans, M. and Grate, L. and Casper, J. and Hughey, R. ``What is the value added by human intervention in protein structure prediction?'' Proteins: Structure Function and Genetics 45(S5):86-91,2001
Karplus, K. and Karchin, R. and Draper, J. and Casper, J. and Mandel-Gutfreund, Y. and Diekhans, M. and Hughey, R. ``Combining local-structure, fold-recognition, and new-fold methods for protein structure prediction'' Proteins: Structure Function and Genetics53(S6):491-496,15 Oct 2003
Rachel Karchin, Melissa Cline, Yael Mandel-Gutfreund, and Kevin Karplus. ``Hidden Markov models that use predicted local structure for fold recognition: alphabets of backbone geometry.'' Proteins: Structure, Function, and Genetics, 51(4):504--514, June 2003.