
PFRMAT RR
TARGET T0088
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
AVSFIGSTENDVGPSQGSYSSTHAMDNLPFVYNTGYNIGYQNANVWRI 
SGGFCVGLDGKVDLPVVGSLDGQSIYGLTEEVGLLIWMGDTNYSRGTA 
MSGNSWENVFSGWCVGNYVSTQGLSVHVRPVILKRNSSAQYSVQKTSI 
GSIRMRPYNGSS 
54	120	0	8	0.952
111	120	0	8	0.951
53	110	0	8	0.948
54	111	0	8	0.945
54	109	0	8	0.944
31	124	0	8	0.94
64	105	0	8	0.939
5	120	0	8	0.939
5	62	0	8	0.937
76	111	0	8	0.932
52	111	0	8	0.931
24	56	0	8	0.925
86	144	0	8	0.924
48	147	0	8	0.924
111	144	0	8	0.923
4	82	0	8	0.923
83	120	0	8	0.923
54	62	0	8	0.922
5	109	0	8	0.922
54	144	0	8	0.922
5	82	0	8	0.921
76	144	0	8	0.921
54	115	0	8	0.919
96	129	0	8	0.918
83	129	0	8	0.918
86	111	0	8	0.917
56	68	0	8	0.916
5	147	0	8	0.915
83	128	0	8	0.915
4	52	0	8	0.913
52	109	0	8	0.913
68	120	0	8	0.913
62	96	0	8	0.912
122	139	0	8	0.912
54	82	0	8	0.912
56	96	0	8	0.911
85	148	0	8	0.911
46	123	0	8	0.91
62	82	0	8	0.91
53	123	0	8	0.91
31	62	0	8	0.909
5	129	0	8	0.909
5	124	0	8	0.908
4	120	0	8	0.908
48	62	0	8	0.907
56	144	0	8	0.906
120	144	0	8	0.906
2	82	0	8	0.906
82	96	0	8	0.906
46	83	0	8	0.905
4	109	0	8	0.905
115	124	0	8	0.905
73	109	0	8	0.905
87	96	0	8	0.904
5	52	0	8	0.904
5	73	0	8	0.904
65	111	0	8	0.903
48	144	0	8	0.903
68	96	0	8	0.903
65	83	0	8	0.901
45	124	0	8	0.901
32	53	0	8	0.901
110	123	0	8	0.9
62	120	0	8	0.9
68	82	0	8	0.9
68	109	0	8	0.899
5	84	0	8	0.899
3	110	0	8	0.899
85	123	0	8	0.898
82	120	0	8	0.898
38	109	0	8	0.898
52	60	0	8	0.898
56	82	0	8	0.898
53	128	0	8	0.898
38	144	0	8	0.898
43	111	0	8	0.898
45	84	0	8	0.897
5	56	0	8	0.897
84	128	0	8	0.897
62	83	0	8	0.897
54	76	0	8	0.896
24	31	0	8	0.896
4	97	0	8	0.895
115	149	0	8	0.895
3	121	0	8	0.895
68	76	0	8	0.895
54	96	0	8	0.895
54	139	0	8	0.895
38	76	0	8	0.894
120	147	0	8	0.894
62	115	0	8	0.894
83	115	0	8	0.894
38	62	0	8	0.894
62	109	0	8	0.894
60	96	0	8	0.893
31	129	0	8	0.893
2	83	0	8	0.893
3	63	0	8	0.893
24	68	0	8	0.893
122	147	0	8	0.892
56	111	0	8	0.892
82	129	0	8	0.892
73	105	0	8	0.892
54	83	0	8	0.892
63	123	0	8	0.892
80	129	0	8	0.891
38	52	0	8	0.891
43	54	0	8	0.891
60	115	0	8	0.891
45	149	0	8	0.891
3	123	0	8	0.891
84	149	0	8	0.89
73	129	0	8	0.89
96	105	0	8	0.89
64	83	0	8	0.89
48	73	0	8	0.89
85	147	0	8	0.889
31	45	0	8	0.889
73	82	0	8	0.889
84	147	0	8	0.889
83	97	0	8	0.889
5	115	0	8	0.889
56	109	0	8	0.889
84	97	0	8	0.888
46	110	0	8	0.888
111	139	0	8	0.888
110	128	0	8	0.888
3	53	0	8	0.888
46	53	0	8	0.888
47	61	0	8	0.887
48	96	0	8	0.887
86	109	0	8	0.887
54	86	0	8	0.887
3	138	0	8	0.887
46	84	0	8	0.886
2	139	0	8	0.886
65	129	0	8	0.886
43	52	0	8	0.885
64	96	0	8	0.885
109	147	0	8	0.885
48	111	0	8	0.885
60	144	0	8	0.885
96	111	0	8	0.885
31	52	0	8	0.885
122	149	0	8	0.884
53	96	0	8	0.884
48	124	0	8	0.884
53	125	0	8	0.884
45	52	0	8	0.883
49	146	0	8	0.883
45	122	0	8	0.883
86	102	0	8	0.883
115	147	0	8	0.883
85	149	0	8	0.883
54	127	0	8	0.882
7	107	0	8	0.882
86	147	0	8	0.882
85	129	0	8	0.882
84	124	0	8	0.882
54	124	0	8	0.882
54	80	0	8	0.882
73	96	0	8	0.882
2	45	0	8	0.881
106	149	0	8	0.881
111	135	0	8	0.881
65	96	0	8	0.881
31	96	0	8	0.881
64	127	0	8	0.881
116	143	0	8	0.881
65	124	0	8	0.881
24	53	0	8	0.881
38	111	0	8	0.881
5	83	0	8	0.881
5	48	0	8	0.881
48	82	0	8	0.88
55	119	0	8	0.88
5	144	0	8	0.88
121	128	0	8	0.88
54	122	0	8	0.88
5	76	0	8	0.88
54	71	0	8	0.88
49	95	0	8	0.88
65	82	0	8	0.88
54	73	0	8	0.88
85	127	0	8	0.88
46	128	0	8	0.879
76	109	0	8	0.879
56	76	0	8	0.879
53	149	0	8	0.879
97	119	0	8	0.879
65	120	0	8	0.879
6	109	0	8	0.879
96	120	0	8	0.878
115	144	0	8	0.878
62	124	0	8	0.878
4	85	0	8	0.878
5	85	0	8	0.878
48	149	0	8	0.877
87	142	0	8	0.877
4	115	0	8	0.877
2	43	0	8	0.877
73	120	0	8	0.877
8	142	0	8	0.877
110	149	0	8	0.877
82	147	0	8	0.877
65	80	0	8	0.877
54	68	0	8	0.876
73	124	0	8	0.876
139	147	0	8	0.876
43	144	0	8	0.876
85	128	0	8	0.876
61	148	0	8	0.875
73	122	0	8	0.875
128	147	0	8	0.875
96	124	0	8	0.875
82	111	0	8	0.875
111	124	0	8	0.875
56	120	0	8	0.875
115	122	0	8	0.875
86	105	0	8	0.874
82	124	0	8	0.874
86	115	0	8	0.874
106	124	0	8	0.874
6	52	0	8	0.874
82	128	0	8	0.874
44	55	0	8	0.874
77	142	0	8	0.874
48	83	0	8	0.873
40	144	0	8	0.873
73	144	0	8	0.873
48	110	0	8	0.873
111	127	0	8	0.873
52	96	0	8	0.873
96	127	0	8	0.873
84	122	0	8	0.873
96	149	0	8	0.873
56	124	0	8	0.872
97	109	0	8	0.872
56	73	0	8	0.872
6	72	0	8	0.872
53	66	0	8	0.872
60	82	0	8	0.872
83	106	0	8	0.872
5	96	0	8	0.872
123	149	0	8	0.872
86	122	0	8	0.872
115	139	0	8	0.872
43	109	0	8	0.872
65	84	0	8	0.871
97	144	0	8	0.871
6	143	0	8	0.871
38	54	0	8	0.871
128	149	0	8	0.871
61	123	0	8	0.871
83	127	0	8	0.87
31	105	0	8	0.87
5	97	0	8	0.87
64	106	0	8	0.869
115	129	0	8	0.869
76	120	0	8	0.869
46	63	0	8	0.869
111	122	0	8	0.869
96	110	0	8	0.869
73	110	0	8	0.869
24	111	0	8	0.869
44	61	0	8	0.869
83	96	0	8	0.868
86	96	0	8	0.868
5	31	0	8	0.868
60	111	0	8	0.868
62	85	0	8	0.868
32	110	0	8	0.868
73	84	0	8	0.868
65	85	0	8	0.868
38	120	0	8	0.867
124	139	0	8	0.867
65	144	0	8	0.867
6	146	0	8	0.867
2	144	0	8	0.867
5	86	0	8	0.867
45	111	0	8	0.867
2	124	0	8	0.867
85	125	0	8	0.867
62	111	0	8	0.867
2	147	0	8	0.867
32	114	0	8	0.867
3	44	0	8	0.867
86	120	0	8	0.867
2	105	0	8	0.867
109	120	0	8	0.867
48	105	0	8	0.866
30	105	0	8	0.866
45	54	0	8	0.866
82	109	0	8	0.866
31	60	0	8	0.866
2	73	0	8	0.866
31	73	0	8	0.866
109	129	0	8	0.865
48	68	0	8	0.865
54	105	0	8	0.865
65	122	0	8	0.865
84	127	0	8	0.865
55	96	0	8	0.865
54	135	0	8	0.865
60	142	0	8	0.865
54	147	0	8	0.865
45	97	0	8	0.865
63	128	0	8	0.864
52	73	0	8	0.864
31	115	0	8	0.864
31	120	0	8	0.864
52	124	0	8	0.864
END

