

PFRMAT RR
TARGET T0106
AUTHOR 7875-6238-4020
METHOD Prediction Made with CORNET: a Neural Network based method trained using Correlated Mutations, 
METHOD Sequence Conservation, Predicted Secondary structure of Proteins and Evolutionary Information. 
METHOD Authors Fariselli Piero, Olmea Osvaldo, Valencia Alfonso, Rita Casadio. 
METHOD This method is an extension of the two following methods 
METHOD Olmea O. and Valencia A. (1997) Fold. Des. 2: S25-32. 
METHOD Fariselli P and Casadio R. (1999) Prot. Engng 12:15-21 
MODEL  1
AACEPVRIPL CKSLPWEMTK MPNHLHHSTQ ANAILAMEQF EGLLGTHCSP
DLLFFLCAMY APICTIDFQH EPIKPCKSVC ERARQGCEPI LIKYRHSWPE
SLACDELPVY DRGVCISPEA IVTADGAD
64	115	0	8	0.962
11	115	0	8	0.955
11	64	0	8	0.952
11	104	0	8	0.927
57	64	0	8	0.913
57	104	0	8	0.888
57	115	0	8	0.88
80	115	0	8	0.877
11	57	0	8	0.877
64	104	0	8	0.873
64	124	0	8	0.872
104	115	0	8	0.865
11	68	0	8	0.863
66	94	0	8	0.863
66	124	0	8	0.86
48	64	0	8	0.86
8	66	0	8	0.855
10	116	0	8	0.85
48	104	0	8	0.849
63	116	0	8	0.849
65	114	0	8	0.848
80	104	0	8	0.839
116	124	0	8	0.839
11	66	0	8	0.837
10	114	0	8	0.836
8	65	0	8	0.834
11	65	0	8	0.832
56	98	0	8	0.832
66	114	0	8	0.83
8	115	0	8	0.828
48	115	0	8	0.826
8	116	0	8	0.824
56	124	0	8	0.819
76	115	0	8	0.818
11	124	0	8	0.818
56	116	0	8	0.813
10	65	0	8	0.809
65	116	0	8	0.806
65	115	0	8	0.805
8	64	0	8	0.801
115	124	0	8	0.799
11	116	0	8	0.797
66	115	0	8	0.796
10	63	0	8	0.794
11	48	0	8	0.794
11	114	0	8	0.794
11	94	0	8	0.793
76	104	0	8	0.792
8	124	0	8	0.792
19	124	0	8	0.792
56	114	0	8	0.79
65	124	0	8	0.79
48	57	0	8	0.79
66	116	0	8	0.789
11	76	0	8	0.787
63	114	0	8	0.786
56	109	0	8	0.785
57	76	0	8	0.784
43	124	0	8	0.782
64	114	0	8	0.781
6	114	0	8	0.781
8	114	0	8	0.78
10	124	0	8	0.779
19	66	0	8	0.779
10	56	0	8	0.778
18	68	0	8	0.776
66	121	0	8	0.776
11	80	0	8	0.775
19	65	0	8	0.773
6	116	0	8	0.768
11	52	0	8	0.766
6	65	0	8	0.764
114	124	0	8	0.764
18	64	0	8	0.763
11	18	0	8	0.761
7	115	0	8	0.76
43	102	0	8	0.759
2	116	0	8	0.758
64	117	0	8	0.758
19	104	0	8	0.756
12	65	0	8	0.754
94	104	0	8	0.753
91	114	0	8	0.745
56	66	0	8	0.744
64	76	0	8	0.744
64	116	0	8	0.737
11	63	0	8	0.736
19	68	0	8	0.736
56	94	0	8	0.733
64	121	0	8	0.733
109	124	0	8	0.732
44	68	0	8	0.732
64	80	0	8	0.731
56	63	0	8	0.731
43	98	0	8	0.73
66	122	0	8	0.73
94	115	0	8	0.73
115	123	0	8	0.729
66	104	0	8	0.729
18	94	0	8	0.728
115	122	0	8	0.728
43	66	0	8	0.728
64	94	0	8	0.727
62	115	0	8	0.727
7	67	0	8	0.726
44	124	0	8	0.726
8	121	0	8	0.726
66	127	0	8	0.726
8	63	0	8	0.724
6	115	0	8	0.723
10	115	0	8	0.722
7	64	0	8	0.721
10	109	0	8	0.721
57	80	0	8	0.721
3	11	0	8	0.721
44	52	0	8	0.72
5	21	0	8	0.719
48	124	0	8	0.719
56	73	0	8	0.719
65	121	0	8	0.719
44	114	0	8	0.718
43	109	0	8	0.717
64	122	0	8	0.717
9	115	0	8	0.717
35	109	0	8	0.716
5	19	0	8	0.716
63	124	0	8	0.715
91	115	0	8	0.715
64	120	0	8	0.714
60	104	0	8	0.713
102	124	0	8	0.711
80	94	0	8	0.71
63	109	0	8	0.71
6	124	0	8	0.71
4	12	0	8	0.71
18	115	0	8	0.709
21	63	0	8	0.709
104	124	0	8	0.707
56	102	0	8	0.705
102	109	0	8	0.704
8	68	0	8	0.704
64	123	0	8	0.704
57	66	0	8	0.703
2	21	0	8	0.703
48	76	0	8	0.702
6	64	0	8	0.702
19	115	0	8	0.702
68	102	0	8	0.7
52	124	0	8	0.7
6	63	0	8	0.7
21	109	0	8	0.7
55	124	0	8	0.698
19	116	0	8	0.697
94	124	0	8	0.697
64	110	0	8	0.697
48	66	0	8	0.696
18	114	0	8	0.695
56	83	0	8	0.694
43	56	0	8	0.694
56	68	0	8	0.693
10	64	0	8	0.691
55	68	0	8	0.69
11	60	0	8	0.69
52	109	0	8	0.688
11	19	0	8	0.688
73	109	0	8	0.687
65	122	0	8	0.685
57	94	0	8	0.684
5	65	0	8	0.683
6	121	0	8	0.683
102	114	0	8	0.682
56	65	0	8	0.681
2	114	0	8	0.681
27	48	0	8	0.681
57	124	0	8	0.674
10	21	0	8	0.672
5	115	0	8	0.671
18	124	0	8	0.67
65	104	0	8	0.669
6	68	0	8	0.669
19	108	0	8	0.669
62	117	0	8	0.669
7	65	0	8	0.667
12	114	0	8	0.666
48	87	0	8	0.666
2	124	0	8	0.665
19	62	0	8	0.665
65	120	0	8	0.664
44	64	0	8	0.664
8	122	0	8	0.664
6	122	0	8	0.663
56	79	0	8	0.662
18	116	0	8	0.662
56	86	0	8	0.66
2	65	0	8	0.66
4	63	0	8	0.66
18	48	0	8	0.66
18	66	0	8	0.66
43	68	0	8	0.659
44	116	0	8	0.659
3	64	0	8	0.658
6	109	0	8	0.658
19	123	0	8	0.657
8	109	0	8	0.657
2	49	0	8	0.655
8	18	0	8	0.655
57	68	0	8	0.655
91	104	0	8	0.654
52	114	0	8	0.654
66	102	0	8	0.654
7	121	0	8	0.653
12	86	0	8	0.651
3	115	0	8	0.651
11	123	0	8	0.65
65	86	0	8	0.65
11	43	0	8	0.649
43	114	0	8	0.649
43	127	0	8	0.649
18	63	0	8	0.649
11	121	0	8	0.649
102	116	0	8	0.648
18	109	0	8	0.648
83	124	0	8	0.647
6	120	0	8	0.647
6	117	0	8	0.647
11	109	0	8	0.646
94	116	0	8	0.646
11	62	0	8	0.645
18	75	0	8	0.645
9	65	0	8	0.645
63	94	0	8	0.644
60	124	0	8	0.644
91	124	0	8	0.643
11	108	0	8	0.642
35	63	0	8	0.642
10	86	0	8	0.641
10	94	0	8	0.641
11	87	0	8	0.639
114	121	0	8	0.638
12	63	0	8	0.638
2	11	0	8	0.637
57	83	0	8	0.637
19	121	0	8	0.637
8	94	0	8	0.637
114	122	0	8	0.637
10	98	0	8	0.637
5	94	0	8	0.635
15	109	0	8	0.634
11	21	0	8	0.634
90	109	0	8	0.633
11	117	0	8	0.633
11	120	0	8	0.633
64	87	0	8	0.632
48	127	0	8	0.632
43	116	0	8	0.631
8	52	0	8	0.631
END





