T0399.t2k.100-30-dssp-ebghstl

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
2g2uB	165	2.75e-08		d.98.1.1
1jtgB	165	2.79e-08		d.98.1.1
2h36X	112	3.61e-02
1wdvA	152	2.50e-01		d.116.1.1
2c2aA	258	1.13e+00		a.30.2.1
				d.122.1.3
2pbiB	354	1.36e+00
2oajA	902	1.50e+00
2cw9A	194	1.69e+00		d.17.4.13
1ucrA	78	1.70e+00		a.4.5.45
2j3mA	572	3.01e+00
1b1gA	75	3.53e+00	1psrA	a.39.1.1
1zh5A	195	3.86e+00		a.4.5.46
				d.58.7.1
2glcA	342	5.25e+00
2afbA	351	5.31e+00		c.72.1.1
2i0oA	304	5.34e+00
2c9wA	169	6.01e+00
2z0xA	158	6.90e+00
1a99A	344	6.94e+00	1pot	c.94.1.1
2p36A	335	7.09e+00
1pn2A	280	8.40e+00		d.38.1.4
				d.38.1.4
1j3wA	163	8.51e+00		d.110.7.1
1tib	269	9.31e+00	3tgl
1tibA	269	9.31e+00		c.69.1.17
2yvdA	431	9.48e+00
2reiA	318	9.89e+00
2grvA	621	9.90e+00
1zckA	154	1.11e+01
2i3oA	516	1.15e+01		d.153.1.6
1d7pM	159	1.17e+01	1cztA	b.18.1.2
2dkfA	431	1.18e+01
2b0vA	153	1.19e+01		d.113.1.1
1rxdA	159	1.20e+01		c.45.1.1
1ecfB	504	1.24e+01	1ecfB	c.61.1.1
				d.153.1.1
1ys1X	320	1.29e+01
2cx5A	158	1.30e+01
2fziA	206	1.31e+01		c.71.1.1
1ughI	82	1.37e+01	1ugiA	d.17.5.1
1efpB	252	1.38e+01	1efvB	c.26.2.3
1r4aA	165	1.42e+01		c.37.1.8
2isbA	192	1.43e+01		c.8.9.1
2g17A	337	1.48e+01		c.2.1.3
				d.81.1.1
2hpvA	208	1.50e+01
2j8qA	227	1.51e+01
2gu3A	136	1.53e+01
1vjnA	220	1.65e+01		d.157.1.4
1ecfA	504	1.68e+01	1ecfB	c.61.1.1
				d.153.1.1
1cc1L	498	1.76e+01	1h2rL	e.18.1.1
1h6vA	499	1.76e+01	3grs	c.3.1.5
				c.3.1.5
				d.87.1.1
1zghA	260	1.78e+01		b.46.1.1
				c.65.1.1
1r6jA	82	1.79e+01		b.36.1.1
1phkA	298	1.83e+01		d.144.1.7
1konA	249	1.86e+01		e.39.1.1
1aoeA	192	1.87e+01	1aoeA	c.71.1.1
1gq6A	313	1.90e+01		c.42.1.1
1zclA	180	1.95e+01
1vz0A	230	1.95e+01		a.4.14.1
				d.268.1.1
2c60A	111	2.03e+01		d.15.2.2
3bw8A	217	2.04e+01
1ta8A	332	2.05e+01		d.142.2.2
1zkiA	133	2.08e+01		d.38.1.5
2dj5A	133	2.12e+01		c.92.1.3
2bcjB	340	2.13e+01		b.69.4.1
1j7jA	178	2.18e+01		c.61.1.1
1jofA	365	2.18e+01		b.69.10.1
1br1B	150	2.19e+01	1wdcC	a.39.1.5
2gx9A	129	2.26e+01		d.299.1.1
1nox	205	2.30e+01	1nox
1noxA	205	2.30e+01		d.90.1.1
1eq3A	96	2.31e+01	1eq3A	d.26.1.1
1jl0A	334	2.33e+01	1jenA	d.156.1.1
1o7fA	469	2.34e+01		a.4.5.31
				b.82.3.2
				b.82.3.2
1v5rA	97	2.35e+01		d.82.4.1
2ip2A	334	2.37e+01
2id0A	644	2.38e+01
2gjsA	176	2.40e+01		c.37.1.8
1sv6A	269	2.44e+01		d.177.1.1
2odiA	238	2.70e+01
2oseA	234	2.74e+01
1tg7A	971	2.74e+01		b.149.1.1
				b.18.1.27
				b.18.1.27
				b.71.1.5
				c.1.8.14
1hlcA	129	2.79e+01	1c1lA	b.29.1.3
1ut1A	148	2.80e+01		b.2.3.6
2h8gA	267	2.80e+01
1plq	258	2.84e+01	1plq
1plqA	258	2.84e+01		d.131.1.2

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
				d.131.1.2
1gotB	340	2.86e+01	1tbgA	b.69.4.1
1vr6A	350	2.91e+01		c.1.10.4
1x24A	180	2.91e+01
2amyA	246	2.93e+01		c.108.1.10
3bhoA	208	2.94e+01
1qnaA	200	2.95e+01	1ytbA	d.129.1.1
				d.129.1.1
2a6hC	1119	2.98e+01		e.29.1.1
2g6yA	217	3.04e+01
2bc4B	211	3.07e+01
1h65A	270	3.08e+01		c.37.1.8
2bjfA	329	3.08e+01
2qg7A	458	3.09e+01
2awpA	198	3.18e+01
2dekA	265	3.19e+01		c.90.1.1
2joyA	96	3.27e+01
2e1bA	216	3.28e+01
1foeA	377	3.36e+01	1foeA	a.87.1.1
				b.55.1.1
1hdmB	193	3.40e+01	1hdmB	b.1.1.2
				d.19.1.1
1a49A	530	3.46e+01	1a49A	b.58.1.1
				c.1.12.1
				c.49.1.1
2j69A	695	3.46e+01
2hb0A	369	3.48e+01
2a2cA	478	3.51e+01
2o35A	105	3.57e+01
1mvwC	147	3.60e+01		i.15.1.1
2ix0A	663	3.70e+01
1d3uA	181	3.73e+01	1ytbA	d.129.1.1
				d.129.1.1
2g50A	530	3.74e+01		b.58.1.1
				c.1.12.1
				c.49.1.1
2oizD	135	3.81e+01
2agyD	135	3.81e+01
2bk8A	97	3.83e+01
2fueA	262	3.87e+01		c.108.1.10
2be1A	339	3.99e+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.