T0514.template-lib

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1hpwA	130	2.597e-01	1hpwA	d.24.1.1
1qveA	127	6.962e-01		d.24.1.1
1ryiA	365	2.452e+00		c.3.1.2
				d.16.1.3
2cpmA	95	2.574e+00
1ewkA	449	6.493e+00	1ewkA	c.93.1.1
2hqhE	23	7.188e+00
1c0pA	364	9.129e+00	1an9A	c.4.1.2
				d.16.1.3
1y4eA	28	9.573e+00
1y14B	155	1.017e+01		b.40.4.5
				d.230.1.1
1qoyA	304	1.192e+01	1qoyA	h.4.4.1
1y56B	375	1.255e+01
1suyC	35	1.301e+01
2rghA	547	1.312e+01
1g9mG	306	1.678e+01	1gc1G	d.172.1.1
2hh7A	86	1.744e+01
2gdtA	117	1.830e+01
2p19A	149	1.858e+01
2v6xB	42	1.896e+01
1jyeA	272	1.917e+01		c.93.1.1
1bykA	256	1.997e+01	1bykA	c.93.1.1
2eg4A	231	2.062e+01
1ci6A	57	2.067e+01	1ci6A	h.1.3.1
1an9A	341	2.072e+01	1an9A	c.4.1.2
				d.16.1.3
1ng4A	365	2.104e+01		c.3.1.2
				d.16.1.3
1k5oA	86	2.241e+01		a.165.1.1
2qf4A	171	2.271e+01
2quoA	124	2.305e+01
1twfC	267	2.377e+01		d.74.3.1
				d.181.1.1
1g2yA	32	2.443e+01		a.34.2.1
2jzdA	130	2.699e+01
2zaiA	473	2.860e+01
2p2sA	334	2.863e+01
1oqeK	32	2.897e+01		g.24.1.2
1h2sB	61	2.915e+01		f.13.1.1
2j9uA	95	2.946e+01		a.24.28.1
2h0aA	259	2.968e+01
1o4vA	170	3.022e+01		c.23.8.1
2r7dA	462	3.088e+01
2g3kA	95	3.095e+01		a.24.28.1
1xtyA	121	3.187e+01
1e3dA	263	3.188e+01	2frvA	e.19.1.1
1bl3A	143	3.225e+01	1b9dA	c.55.3.2
2ahmE	156	3.242e+01		d.302.1.1
1qhhD	97	3.307e+01	1pjr
1qpzA	340	3.686e+01	1qpzA	a.35.1.5
				c.93.1.1
3cs3A	267	3.835e+01
1a6jA	151	3.882e+01	1a6jA	d.112.1.1
1hr0W	72	3.933e+01	1ah9	b.40.4.5
1y60A	169	3.943e+01		d.14.1.12
2qtwB	487	3.959e+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.