T0632.best_hits

Sequence_ID	Length	Evalue	FSSP-rep	SCOP_domain
1vh5A	148	3.1110e-17		d.38.1.5
2b6eA	146	5.3380e-17		d.38.1.5
1sc0A	138	2.1628e-16		d.38.1.5
1yocA	147	5.7895e-16		d.38.1.5
2h4uA	145	1.7817e-15		d.38.1.5
2fs2A	151	2.1578e-15		d.38.1.5
2pimA	141	6.8929e-15
1psuA	140	7.1750e-15		d.38.1.5
1zkiA	133	1.2722e-14		d.38.1.5
2ov9A	216	1.8154e-14		d.38.1.5
3gekA	146	2.6272e-14
3dkzA	142	3.5988e-14
3f1tA	148	3.6388e-14
1o0iA	138	6.2124e-14		d.38.1.5
1q4uA	151	8.3061e-14		d.38.1.5
1j1yA	136	9.7084e-14		d.38.1.5
3e8pA	164	3.2362e-13
2f0xA	148	3.6183e-13		d.38.1.5
3f5oA	148	5.6314e-13
2cy9A	140	1.3270e-12		d.38.1.5
3hduA	157	1.5593e-12
1ixlA	131	4.0353e-11		d.38.1.5
1sh8A	154	2.8523e-10		d.38.1.5
2prxA	160	1.6595e-09
1sbkA	144	1.4421e-08		d.38.1.5
1vh9A	149	2.6790e-08		d.38.1.5
1vpmA	169	4.0866e-07		d.38.1.1
3lwgA	145	5.0262e-07
3e1eA	141	5.2106e-07
2dslA	136	7.9488e-07
3e29A	144	1.7959e-06
3lw3A	145	1.8748e-06
2gvhA	288	2.0133e-06		d.38.1.1
				d.38.1.1
1wluA	136	3.3216e-06		d.38.1.5
2qq2A	193	1.4048e-05
2eisA	133	1.6785e-05
3bjkA	153	3.8877e-05
2qwzA	159	6.4702e-05
2q2bA	179	9.8756e-05
2cyeA	133	1.2401e-04		d.38.1.1
2hboA	158	1.4861e-04		d.38.1.5
3kuvA	139	7.5836e-04
3lmbA	165	9.4240e-04
2cwzA	141	1.5719e-03		d.38.1.7
3b7kA	333	3.3338e-03
1njkA	156	3.8798e-03		d.38.1.1
1yliA	153	2.6237e-02		d.38.1.1
1t82A	155	3.7895e-02		d.38.1.5
1u1zA	168	6.7557e-02		d.38.1.6

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.