T0518.template-lib

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
3hbkA	232	8.256e-33
3h3lA	233	1.369e-30
3immA	198	5.857e-23
1hj0A	42	6.399e-02		j.86.1.1
2vi6A	56	7.384e-01
2zuxA	583	1.762e+00
3a03A	54	1.911e+00
2q7aA	153	1.977e+00
3epuA	135	2.609e+00
1jsxA	194	2.676e+00		c.66.1.20
3a02A	52	2.896e+00
1yrnA	50	2.897e+00	1akhA	a.4.1.1
1urfA	82	3.009e+00		a.2.6.1
1p30A	892	3.911e+00		b.121.2.2
				b.121.2.2
1fmtA	309	4.112e+00	1fmtA	b.46.1.1
				c.65.1.1
3a01B	58	4.592e+00
1okjA	220	4.661e+00		c.55.1.9
				c.55.1.9
1ryoA	325	5.523e+00		c.94.1.2
1p2zA	888	5.984e+00		b.121.2.2
				b.121.2.2
1y7xA	114	6.570e+00
2aysA	341	7.067e+00		c.94.1.2
1a0aA	64	7.325e+00	1a0aA	a.38.1.1
1wi3A	72	7.626e+00		a.4.1.1
1on3A	518	7.809e+00		c.14.1.4
				c.14.1.4
1s3iA	308	7.822e+00		b.46.1.1
				c.65.1.1
3fcxA	269	8.856e+00
3cmyA	61	9.450e+00
2blnA	299	9.490e+00		b.46.1.1
				c.65.1.1
1pm4A	118	1.062e+01		b.135.1.1
1ruyH	325	1.109e+01		b.19.1.2
1nnt	329	1.127e+01	1nnt
1z5oA	236	1.155e+01
1rv0H	325	1.278e+01		b.19.1.2
1rvtH	325	1.278e+01		b.19.1.2
3ihjA	462	1.434e+01
2ac7A	221	1.500e+01		c.56.2.1
3fkmX	121	1.587e+01
3e1yA	381	1.604e+01
1v72A	346	1.626e+01		c.67.1.1
1nhcA	337	1.627e+01		b.80.1.3
2dohC	25	1.639e+01
2z2mC	126	1.639e+01		d.11.1.1
				d.11.1.1
2b6dA	342	1.699e+01		c.94.1.2
1ehxA	95	1.730e+01	1ehxA	b.1.18.13
1p15A	246	1.920e+01		c.45.1.2
1skoA	120	1.955e+01		d.110.7.1
1i5kC	27	2.022e+01
3dsmA	328	2.030e+01
1oksA	54	2.047e+01		a.8.5.1
1du0A	54	2.148e+01	2hddA	a.4.1.1
1p9sA	301	2.156e+01		b.47.1.4
1a8e	330	2.200e+01	1cb6A
1b6rA	350	2.213e+01	1b6rA	b.84.2.1
				c.30.1.1
				d.142.1.2
1kz0A	17	2.228e+01		j.92.1.1
1yixA	266	2.229e+01		c.1.9.12
3he7D	241	2.234e+01
1az6A	37	2.248e+01		g.3.8.1
1jrhI	96	2.273e+01	1jrhI	b.1.2.1
2da7A	72	2.301e+01
2qaiA	92	2.319e+01
1y10A	361	2.326e+01
1dl5A	318	2.352e+01	1dl5A	c.66.1.7
				d.197.1.1
2ilrA	250	2.371e+01
3gneA	244	2.402e+01
1d1qA	160	2.408e+01	1dg9A	c.44.1.1
3lv4A	442	2.439e+01
1akhA	50	2.449e+01	1akhA	a.4.1.1
2pzfA	225	2.455e+01
1c7nA	395	2.548e+01	1d2fA	c.67.1.3
1d3kA	330	2.576e+01	1nnt	c.94.1.2
1u24A	315	2.588e+01		c.45.1.4
2kp6A	80	2.597e+01
1jlnA	298	2.709e+01	1pty	c.45.1.2
3lxjA	136	2.723e+01
1jg1A	216	2.728e+01		c.66.1.7
3daiA	131	2.748e+01
2dleA	105	2.764e+01
1kngA	145	2.801e+01		c.47.1.10
2obeA	916	2.814e+01
1jubA	312	2.823e+01		c.1.4.1
3e05A	189	2.827e+01
2a6hA	230	2.860e+01		d.74.3.1
				d.181.1.1
3ddoA	241	2.903e+01
3k5iA	382	2.944e+01
1rpmA	279	2.959e+01	2shpA	c.45.1.2
2amdA	310	2.975e+01
1r3jC	104	3.001e+01		f.14.1.1
1q8bA	94	3.028e+01		d.58.4.6

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1lkvX	214	3.093e+01		a.118.14.1
1z5nA	235	3.137e+01
2e5yA	134	3.152e+01
1q2wA	296	3.166e+01		b.47.1.4
1jqfA	330	3.182e+01		c.94.1.2
1zroA	589	3.191e+01		a.264.1.1
				a.264.1.1
1azsB	190	3.202e+01	1azsA	d.58.29.1
2zc3C	126	3.202e+01		d.11.1.1
				d.11.1.1
3g9dA	291	3.227e+01
2regA	291	3.253e+01
3kaxA	366	3.279e+01
3eeiA	232	3.284e+01
2rinA	289	3.303e+01
2yqzA	262	3.304e+01
1h8eH	90	3.306e+01	1e79H	b.93.1.1
3a01A	79	3.377e+01
2h8gA	247	3.478e+01
2f9iB	261	3.497e+01
1gydB	316	3.500e+01		b.67.2.1
1lvoA	300	3.551e+01		b.47.1.4
1g7fA	298	3.558e+01	1pty	c.45.1.2
1l1zA	264	3.586e+01		a.156.1.2
				b.113.1.1
				g.39.1.8
1pt1A	118	3.587e+01		b.52.2.1
2j1nA	347	3.643e+01
3hhyA	257	3.649e+01
2efjA	349	3.670e+01
2bzlA	285	3.679e+01
1enh	55	3.690e+01	2hddA
3lvaA	235	3.751e+01
1c76A	122	3.762e+01	2sak	d.15.5.1
1r0kA	381	3.812e+01		a.69.3.1
				c.2.1.3
				d.81.1.3
1vetA	123	3.862e+01		d.110.7.1
1vkdA	328	3.867e+01		b.67.2.4
1ygaA	337	3.916e+01
1kxuA	277	3.946e+01		a.74.1.1
				a.74.1.1
3hmhA	140	3.946e+01
2ossA	128	3.977e+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.