
PFRMAT RR
TARGET T0125
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
FDDVVVSRQE QSYVQRGMVN FLDEEMHKLV KRFRDMRWNL 
GPGFVFLLKK VNRERMMRYC MDYARYSKKI LQLKHLPVNK 
KTLTKMGRFV GYRNYGVIRE LYADVFRDVQ GFRGPKMTAA 
MRKYSSKDPG TFPCKNEKRR G 
83	97	0	8	0.911
5	89	0	8	0.906
4	89	0	8	0.903
90	97	0	8	0.901
45	76	0	8	0.896
6	89	0	8	0.886
6	97	0	8	0.885
45	97	0	8	0.882
45	83	0	8	0.88
83	90	0	8	0.879
47	97	0	8	0.876
48	101	0	8	0.866
4	90	0	8	0.864
6	90	0	8	0.864
14	45	0	8	0.862
4	98	0	8	0.861
98	120	0	8	0.861
45	98	0	8	0.861
30	101	0	8	0.861
46	97	0	8	0.86
48	109	0	8	0.859
47	76	0	8	0.858
45	132	0	8	0.856
5	91	0	8	0.855
5	90	0	8	0.853
18	98	0	8	0.847
7	91	0	8	0.846
14	76	0	8	0.843
4	97	0	8	0.84
14	47	0	8	0.837
14	89	0	8	0.837
22	76	0	8	0.835
6	92	0	8	0.832
61	97	0	8	0.829
18	46	0	8	0.828
2	139	0	8	0.827
14	40	0	8	0.825
97	119	0	8	0.82
48	90	0	8	0.818
97	132	0	8	0.818
22	97	0	8	0.818
51	101	0	8	0.816
47	98	0	8	0.814
84	101	0	8	0.814
46	89	0	8	0.814
4	92	0	8	0.813
44	97	0	8	0.812
44	98	0	8	0.811
83	119	0	8	0.81
5	98	0	8	0.81
7	89	0	8	0.809
4	46	0	8	0.808
83	132	0	8	0.807
5	97	0	8	0.804
45	119	0	8	0.802
4	45	0	8	0.802
71	97	0	8	0.802
76	97	0	8	0.801
30	109	0	8	0.801
14	90	0	8	0.801
84	91	0	8	0.8
97	112	0	8	0.799
45	92	0	8	0.799
47	132	0	8	0.799
71	89	0	8	0.796
47	83	0	8	0.795
4	91	0	8	0.794
73	101	0	8	0.792
19	98	0	8	0.792
46	119	0	8	0.791
98	121	0	8	0.786
13	45	0	8	0.782
18	44	0	8	0.782
14	48	0	8	0.781
22	83	0	8	0.779
14	86	0	8	0.779
43	131	0	8	0.778
5	45	0	8	0.777
60	134	0	8	0.777
8	89	0	8	0.776
40	97	0	8	0.776
106	120	0	8	0.776
45	101	0	8	0.774
84	109	0	8	0.774
48	98	0	8	0.774
14	98	0	8	0.772
3	139	0	8	0.769
6	98	0	8	0.768
19	76	0	8	0.766
83	98	0	8	0.766
3	88	0	8	0.766
19	101	0	8	0.765
46	120	0	8	0.765
48	86	0	8	0.763
14	70	0	8	0.76
46	121	0	8	0.76
89	98	0	8	0.758
14	21	0	8	0.758
45	120	0	8	0.757
105	120	0	8	0.756
90	98	0	8	0.756
14	95	0	8	0.755
22	98	0	8	0.755
6	44	0	8	0.752
98	119	0	8	0.752
73	98	0	8	0.751
5	46	0	8	0.75
45	73	0	8	0.75
44	90	0	8	0.749
36	120	0	8	0.748
18	97	0	8	0.747
5	29	0	8	0.747
109	120	0	8	0.746
101	121	0	8	0.746
46	92	0	8	0.744
3	89	0	8	0.744
44	119	0	8	0.744
13	120	0	8	0.744
47	92	0	8	0.743
9	94	0	8	0.741
97	120	0	8	0.741
22	132	0	8	0.741
97	121	0	8	0.74
14	101	0	8	0.74
14	97	0	8	0.74
86	97	0	8	0.739
92	101	0	8	0.738
84	96	0	8	0.737
48	119	0	8	0.736
56	89	0	8	0.735
83	117	0	8	0.735
46	83	0	8	0.735
6	119	0	8	0.734
99	108	0	8	0.733
84	129	0	8	0.733
98	105	0	8	0.732
70	101	0	8	0.732
45	64	0	8	0.731
64	76	0	8	0.731
6	19	0	8	0.731
48	105	0	8	0.73
14	51	0	8	0.73
18	132	0	8	0.729
44	132	0	8	0.728
14	29	0	8	0.726
5	92	0	8	0.724
44	86	0	8	0.724
76	90	0	8	0.724
48	70	0	8	0.723
48	83	0	8	0.723
43	111	0	8	0.722
30	83	0	8	0.722
98	118	0	8	0.721
14	105	0	8	0.72
2	92	0	8	0.72
71	98	0	8	0.719
45	121	0	8	0.719
9	95	0	8	0.718
46	98	0	8	0.718
9	89	0	8	0.717
3	140	0	8	0.717
46	86	0	8	0.717
103	117	0	8	0.715
94	134	0	8	0.714
14	82	0	8	0.714
44	83	0	8	0.714
22	117	0	8	0.713
6	91	0	8	0.713
45	89	0	8	0.712
64	90	0	8	0.711
40	78	0	8	0.711
11	92	0	8	0.711
14	120	0	8	0.71
14	46	0	8	0.71
2	88	0	8	0.71
6	29	0	8	0.709
19	119	0	8	0.709
61	92	0	8	0.708
6	83	0	8	0.708
17	96	0	8	0.707
22	92	0	8	0.707
48	97	0	8	0.707
5	120	0	8	0.706
89	97	0	8	0.706
6	36	0	8	0.706
9	93	0	8	0.706
83	92	0	8	0.705
14	44	0	8	0.704
14	119	0	8	0.704
18	91	0	8	0.704
30	70	0	8	0.704
85	92	0	8	0.703
44	121	0	8	0.703
48	82	0	8	0.701
76	101	0	8	0.701
8	95	0	8	0.701
33	101	0	8	0.701
95	129	0	8	0.701
101	119	0	8	0.7
61	86	0	8	0.7
45	112	0	8	0.699
5	44	0	8	0.699
78	97	0	8	0.698
45	88	0	8	0.698
4	120	0	8	0.698
30	47	0	8	0.698
30	119	0	8	0.698
61	89	0	8	0.698
61	76	0	8	0.697
86	93	0	8	0.697
8	92	0	8	0.697
13	46	0	8	0.697
105	119	0	8	0.696
48	63	0	8	0.696
46	117	0	8	0.695
30	48	0	8	0.695
45	90	0	8	0.695
13	98	0	8	0.695
47	119	0	8	0.695
6	73	0	8	0.695
97	118	0	8	0.695
3	93	0	8	0.694
86	98	0	8	0.694
40	83	0	8	0.694
4	56	0	8	0.693
14	96	0	8	0.693
29	98	0	8	0.693
19	103	0	8	0.693
71	78	0	8	0.693
101	117	0	8	0.692
6	45	0	8	0.692
26	121	0	8	0.69
44	89	0	8	0.69
44	91	0	8	0.689
51	83	0	8	0.688
44	120	0	8	0.688
71	83	0	8	0.688
64	101	0	8	0.688
57	120	0	8	0.687
3	92	0	8	0.686
3	91	0	8	0.686
13	89	0	8	0.686
45	103	0	8	0.685
6	47	0	8	0.685
64	97	0	8	0.685
43	97	0	8	0.685
19	45	0	8	0.685
4	47	0	8	0.685
83	105	0	8	0.685
18	89	0	8	0.684
84	119	0	8	0.684
6	121	0	8	0.684
2	75	0	8	0.684
79	129	0	8	0.683
60	75	0	8	0.682
47	73	0	8	0.681
44	76	0	8	0.681
86	112	0	8	0.681
13	97	0	8	0.681
29	45	0	8	0.681
47	109	0	8	0.679
6	57	0	8	0.679
45	96	0	8	0.679
48	75	0	8	0.679
95	133	0	8	0.678
19	83	0	8	0.678
87	96	0	8	0.678
5	101	0	8	0.678
45	71	0	8	0.677
57	101	0	8	0.677
102	109	0	8	0.676
30	90	0	8	0.675
119	132	0	8	0.675
30	105	0	8	0.674
83	131	0	8	0.674
26	89	0	8	0.674
6	18	0	8	0.674
46	56	0	8	0.673
61	70	0	8	0.673
64	89	0	8	0.673
61	112	0	8	0.673
45	78	0	8	0.672
END

