T0425.template-lib

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1jwqA	180	9.348e-11		c.56.5.6
1xovA	316	2.437e-08		b.34.11.4
				c.56.5.6
1o1xA	146	1.487e+00		c.121.1.1
2hl7A	83	5.085e+00
1yumA	213	5.099e+00
1o59A	319	5.340e+00		b.18.1.22
				b.18.1.22
1uslA	157	5.642e+00		c.121.1.1
2g1kA	169	5.907e+00		c.37.1.2
2h29A	189	6.509e+00
2nutB	730	6.994e+00
2fygA	129	7.021e+00		g.86.1.1
1p16A	391	8.000e+00		b.40.4.6
				d.142.2.3
2ppwA	211	9.091e+00
1kqnA	233	9.249e+00		c.26.1.3
1nuuA	214	9.803e+00		c.26.1.3
2ot8C	18	9.984e+00
2pt5A	167	1.007e+01
2iyvA	180	1.084e+01		c.37.1.2
1zuhA	152	1.244e+01
1wf7A	104	1.355e+01		b.36.1.1
2oyyA	72	1.435e+01
1jy4A	36	1.560e+01		k.35.1.1
2fyzB	33	1.643e+01
2h4oA	63	1.644e+01
1mofA	54	1.707e+01		h.3.2.1
1e6cA	171	1.844e+01	1shkA	c.37.1.2
2k1vA	22	1.945e+01
3b7fA	369	2.152e+01
1ckmA	318	2.239e+01	1ckmA	b.40.4.6
				d.142.2.3
1y4oA	105	2.404e+01
1shkA	159	2.509e+01	1shkA	c.37.1.2
1bywA	111	2.676e+01	1bywA	d.110.3.6
1kamA	181	2.717e+01		c.26.1.3
1mlwA	291	2.730e+01		d.178.1.1
3by4A	173	2.794e+01
1btkA	161	2.935e+01	1btkA	b.55.1.1
4pah	309	3.016e+01	4pah
1dmwA	308	3.036e+01	4pah	d.178.1.1
1j8uA	308	3.036e+01		d.178.1.1
1glcG	490	3.108e+01	1glcG	c.55.1.4
				c.55.1.4
2g8jA	323	3.154e+01		d.3.1.3
1ghtA	106	3.183e+01	2rslA	c.53.1.1
1pcxA	746	3.202e+01		a.71.2.1
				b.2.8.1
				c.62.1.2
				d.109.2.1
				g.41.10.1
2dnxA	131	3.606e+01
2dk3A	87	3.686e+01
1fyvA	162	3.707e+01	1fyvA	c.23.2.1
2retB	160	3.755e+01
1m4jA	134	3.765e+01		d.109.1.2
1c3hA	138	3.886e+01		b.22.1.1

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.