
PFRMAT RR
TARGET T0109
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
MSFDKQNLIWIDLEMTGLDPEKERIIEIATIVTDKNLNILAEGPVLAVHQSDELLNKMND 
WCQKTHSENGLIERIKASKLTERAAELQTLDFLKKWVPKGASPICGNSIAQDKRFLVKYM 
PDLADYFHYRHLDVSTLKELAARWKPEILEGFKKENTHLALDDIRESIKELAYYREHFMK 
LD 
9	28	0	8	0.903
12	24	0	8	0.891
10	28	0	8	0.89
11	28	0	8	0.888
10	25	0	8	0.884
11	25	0	8	0.876
10	31	0	8	0.869
8	26	0	8	0.862
10	26	0	8	0.859
10	24	0	8	0.854
8	32	0	8	0.853
9	25	0	8	0.851
8	48	0	8	0.85
26	47	0	8	0.848
8	29	0	8	0.847
8	31	0	8	0.846
15	25	0	8	0.846
25	32	0	8	0.845
8	25	0	8	0.842
13	29	0	8	0.84
9	48	0	8	0.839
10	46	0	8	0.838
11	48	0	8	0.835
8	28	0	8	0.835
13	25	0	8	0.834
8	15	0	8	0.834
11	26	0	8	0.832
11	31	0	8	0.827
32	46	0	8	0.826
10	29	0	8	0.824
40	49	0	8	0.823
40	71	0	8	0.822
25	47	0	8	0.822
32	47	0	8	0.821
41	75	0	8	0.82
8	47	0	8	0.82
8	40	0	8	0.818
31	47	0	8	0.816
40	47	0	8	0.816
10	32	0	8	0.816
8	46	0	8	0.813
9	31	0	8	0.811
26	48	0	8	0.811
25	46	0	8	0.81
9	47	0	8	0.807
12	30	0	8	0.807
10	49	0	8	0.805
29	46	0	8	0.805
10	47	0	8	0.803
28	47	0	8	0.802
12	25	0	8	0.802
41	77	0	8	0.801
25	40	0	8	0.797
25	33	0	8	0.795
10	27	0	8	0.795
24	34	0	8	0.794
32	41	0	8	0.793
14	33	0	8	0.793
32	49	0	8	0.792
25	41	0	8	0.789
13	31	0	8	0.788
9	46	0	8	0.787
26	46	0	8	0.786
26	40	0	8	0.786
11	32	0	8	0.786
25	71	0	8	0.784
32	48	0	8	0.784
15	49	0	8	0.783
11	46	0	8	0.78
11	47	0	8	0.78
10	48	0	8	0.779
9	49	0	8	0.778
13	47	0	8	0.778
12	49	0	8	0.776
14	49	0	8	0.776
8	27	0	8	0.775
9	29	0	8	0.774
12	33	0	8	0.774
29	49	0	8	0.773
8	39	0	8	0.773
10	30	0	8	0.773
11	29	0	8	0.771
15	31	0	8	0.771
9	26	0	8	0.771
29	47	0	8	0.766
25	49	0	8	0.764
28	75	0	8	0.761
25	39	0	8	0.76
11	40	0	8	0.758
32	71	0	8	0.757
15	28	0	8	0.755
12	31	0	8	0.753
16	33	0	8	0.752
41	71	0	8	0.752
28	49	0	8	0.752
11	39	0	8	0.752
40	75	0	8	0.749
75	134	0	8	0.748
11	75	0	8	0.748
11	30	0	8	0.748
28	48	0	8	0.747
10	74	0	8	0.747
25	48	0	8	0.746
9	30	0	8	0.746
33	71	0	8	0.746
8	41	0	8	0.745
37	104	0	8	0.745
31	46	0	8	0.744
117	134	0	8	0.743
28	46	0	8	0.743
27	74	0	8	0.743
15	32	0	8	0.742
12	29	0	8	0.742
25	132	0	8	0.741
26	33	0	8	0.74
8	30	0	8	0.74
33	40	0	8	0.74
28	40	0	8	0.739
14	24	0	8	0.739
12	74	0	8	0.738
26	49	0	8	0.737
12	28	0	8	0.735
26	37	0	8	0.733
40	132	0	8	0.732
8	49	0	8	0.731
15	77	0	8	0.73
26	75	0	8	0.729
30	49	0	8	0.728
8	71	0	8	0.728
14	28	0	8	0.727
31	48	0	8	0.726
41	48	0	8	0.725
10	71	0	8	0.723
40	104	0	8	0.722
33	49	0	8	0.721
18	71	0	8	0.72
25	45	0	8	0.72
33	41	0	8	0.718
11	77	0	8	0.718
41	134	0	8	0.715
30	47	0	8	0.714
134	160	0	8	0.714
27	46	0	8	0.714
27	49	0	8	0.714
11	41	0	8	0.712
40	134	0	8	0.71
41	132	0	8	0.709
71	134	0	8	0.708
31	49	0	8	0.708
13	48	0	8	0.708
8	45	0	8	0.707
48	130	0	8	0.706
71	132	0	8	0.705
15	71	0	8	0.704
15	26	0	8	0.704
15	75	0	8	0.703
15	37	0	8	0.703
77	134	0	8	0.702
15	24	0	8	0.702
13	46	0	8	0.701
13	75	0	8	0.7
23	74	0	8	0.698
41	115	0	8	0.696
41	181	0	8	0.696
15	40	0	8	0.696
14	30	0	8	0.695
12	47	0	8	0.695
41	104	0	8	0.694
13	32	0	8	0.693
9	171	0	8	0.693
11	37	0	8	0.692
14	25	0	8	0.691
9	32	0	8	0.691
9	40	0	8	0.689
71	129	0	8	0.688
12	26	0	8	0.686
8	74	0	8	0.686
27	47	0	8	0.685
41	131	0	8	0.685
34	49	0	8	0.683
14	31	0	8	0.683
8	33	0	8	0.682
48	164	0	8	0.681
40	48	0	8	0.68
11	45	0	8	0.679
10	39	0	8	0.679
9	37	0	8	0.679
31	71	0	8	0.678
90	181	0	8	0.678
41	49	0	8	0.678
71	109	0	8	0.677
15	129	0	8	0.677
37	134	0	8	0.675
32	45	0	8	0.675
11	90	0	8	0.673
12	130	0	8	0.672
26	45	0	8	0.671
9	45	0	8	0.671
26	41	0	8	0.67
10	40	0	8	0.669
48	71	0	8	0.669
15	29	0	8	0.669
27	48	0	8	0.667
29	48	0	8	0.667
24	31	0	8	0.666
26	71	0	8	0.666
48	160	0	8	0.666
33	48	0	8	0.666
14	29	0	8	0.665
8	24	0	8	0.665
33	47	0	8	0.664
49	71	0	8	0.664
109	134	0	8	0.664
41	105	0	8	0.664
18	132	0	8	0.663
33	44	0	8	0.663
49	129	0	8	0.663
33	75	0	8	0.662
28	77	0	8	0.661
13	39	0	8	0.661
40	115	0	8	0.661
30	46	0	8	0.661
7	33	0	8	0.66
9	41	0	8	0.659
24	32	0	8	0.659
71	104	0	8	0.658
30	45	0	8	0.658
47	71	0	8	0.658
16	43	0	8	0.657
24	40	0	8	0.656
12	46	0	8	0.656
13	40	0	8	0.656
13	49	0	8	0.656
40	72	0	8	0.656
23	130	0	8	0.656
25	134	0	8	0.655
13	28	0	8	0.655
30	48	0	8	0.654
16	34	0	8	0.654
11	168	0	8	0.653
33	131	0	8	0.652
26	39	0	8	0.652
13	37	0	8	0.651
90	134	0	8	0.651
9	39	0	8	0.65
33	50	0	8	0.649
77	171	0	8	0.647
32	40	0	8	0.646
9	27	0	8	0.646
31	61	0	8	0.645
34	74	0	8	0.645
16	134	0	8	0.644
16	71	0	8	0.644
11	115	0	8	0.643
24	48	0	8	0.642
33	66	0	8	0.642
37	132	0	8	0.641
25	74	0	8	0.64
15	47	0	8	0.638
134	164	0	8	0.638
32	164	0	8	0.638
10	33	0	8	0.637
14	47	0	8	0.637
8	104	0	8	0.637
16	41	0	8	0.637
48	115	0	8	0.636
32	39	0	8	0.635
8	132	0	8	0.635
33	77	0	8	0.635
32	134	0	8	0.635
15	41	0	8	0.634
48	127	0	8	0.634
77	129	0	8	0.634
39	46	0	8	0.633
25	37	0	8	0.632
16	132	0	8	0.632
48	174	0	8	0.632
12	32	0	8	0.631
16	107	0	8	0.63
28	164	0	8	0.628
41	66	0	8	0.627
71	160	0	8	0.627
9	164	0	8	0.627
11	109	0	8	0.626
24	71	0	8	0.625
134	141	0	8	0.625
75	164	0	8	0.624
10	171	0	8	0.624
11	58	0	8	0.623
11	160	0	8	0.622
28	71	0	8	0.622
16	66	0	8	0.621
8	16	0	8	0.621
41	70	0	8	0.62
11	171	0	8	0.62
15	27	0	8	0.62
13	45	0	8	0.62
66	158	0	8	0.618
42	49	0	8	0.617
15	66	0	8	0.617
11	33	0	8	0.617
11	164	0	8	0.616
19	130	0	8	0.615
14	48	0	8	0.615
15	30	0	8	0.615
40	171	0	8	0.615
24	133	0	8	0.614
11	72	0	8	0.613
37	49	0	8	0.613
73	130	0	8	0.612
115	160	0	8	0.612
24	73	0	8	0.612
11	141	0	8	0.612
34	130	0	8	0.611
10	167	0	8	0.611
31	41	0	8	0.61
48	75	0	8	0.609
9	33	0	8	0.609
39	104	0	8	0.608
15	46	0	8	0.608
18	181	0	8	0.608
31	45	0	8	0.608
15	39	0	8	0.608
25	75	0	8	0.608
17	34	0	8	0.606
29	71	0	8	0.606
8	129	0	8	0.606
8	44	0	8	0.605
41	129	0	8	0.604
77	132	0	8	0.604
24	112	0	8	0.604
31	40	0	8	0.604
15	48	0	8	0.604
37	77	0	8	0.603
24	129	0	8	0.601
40	109	0	8	0.601
33	42	0	8	0.6
24	47	0	8	0.6
13	30	0	8	0.6
33	46	0	8	0.6
132	160	0	8	0.6
115	134	0	8	0.599
93	134	0	8	0.599
9	160	0	8	0.598
41	106	0	8	0.598
32	104	0	8	0.598
32	171	0	8	0.597
32	132	0	8	0.596
9	115	0	8	0.596
15	34	0	8	0.595
12	48	0	8	0.594
16	49	0	8	0.594
109	160	0	8	0.593
8	77	0	8	0.593
25	164	0	8	0.593
41	72	0	8	0.593
48	171	0	8	0.592
9	143	0	8	0.592
18	109	0	8	0.592
11	49	0	8	0.592
39	47	0	8	0.592
33	45	0	8	0.592
39	48	0	8	0.592
77	104	0	8	0.59
END



