
PFRMAT RR
TARGET T0102
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
MAKEFGIPAAVAGTVLNVVE 
AGGWVTTIVSILTAVGSGGL 
SLLAAAGRESIKAYLKKEIK 
KKGKRAVIAW 
19	66	0	8	0.939
12	32	0	8	0.939
29	67	0	8	0.93
19	29	0	8	0.929
11	25	0	8	0.928
11	69	0	8	0.928
28	66	0	8	0.927
16	66	0	8	0.927
19	28	0	8	0.925
15	28	0	8	0.925
16	28	0	8	0.924
28	68	0	8	0.923
16	69	0	8	0.92
33	69	0	8	0.916
29	66	0	8	0.916
32	68	0	8	0.912
11	31	0	8	0.912
11	67	0	8	0.911
15	27	0	8	0.91
18	25	0	8	0.908
11	21	0	8	0.907
12	28	0	8	0.907
12	24	0	8	0.906
19	67	0	8	0.905
19	32	0	8	0.905
16	32	0	8	0.905
18	66	0	8	0.902
19	69	0	8	0.902
15	34	0	8	0.901
11	32	0	8	0.901
11	29	0	8	0.9
32	66	0	8	0.899
11	35	0	8	0.898
29	68	0	8	0.897
12	34	0	8	0.897
25	34	0	8	0.897
18	28	0	8	0.896
34	66	0	8	0.896
16	34	0	8	0.896
16	68	0	8	0.895
32	67	0	8	0.895
10	19	0	8	0.894
18	68	0	8	0.892
10	31	0	8	0.891
12	69	0	8	0.89
10	67	0	8	0.888
15	25	0	8	0.887
34	68	0	8	0.887
15	29	0	8	0.885
9	69	0	8	0.885
18	29	0	8	0.885
32	69	0	8	0.884
27	34	0	8	0.883
12	29	0	8	0.883
18	67	0	8	0.883
10	28	0	8	0.883
15	67	0	8	0.882
16	29	0	8	0.881
27	67	0	8	0.881
10	30	0	8	0.881
15	66	0	8	0.88
28	67	0	8	0.88
18	69	0	8	0.88
10	34	0	8	0.879
17	30	0	8	0.878
26	34	0	8	0.878
21	32	0	8	0.877
14	30	0	8	0.876
9	25	0	8	0.875
19	34	0	8	0.874
25	35	0	8	0.874
10	18	0	8	0.871
31	66	0	8	0.871
9	29	0	8	0.871
12	25	0	8	0.87
30	69	0	8	0.869
9	32	0	8	0.869
31	67	0	8	0.868
18	26	0	8	0.865
10	68	0	8	0.864
31	69	0	8	0.861
16	31	0	8	0.86
33	68	0	8	0.859
18	34	0	8	0.858
43	69	0	8	0.858
13	27	0	8	0.858
12	35	0	8	0.858
18	32	0	8	0.858
16	25	0	8	0.857
29	69	0	8	0.856
34	67	0	8	0.855
15	32	0	8	0.855
11	34	0	8	0.855
19	35	0	8	0.854
15	31	0	8	0.852
19	68	0	8	0.852
25	66	0	8	0.851
33	67	0	8	0.851
21	69	0	8	0.851
14	27	0	8	0.851
19	26	0	8	0.849
9	67	0	8	0.849
35	69	0	8	0.848
9	35	0	8	0.847
18	31	0	8	0.847
10	69	0	8	0.846
28	69	0	8	0.846
14	26	0	8	0.843
25	68	0	8	0.842
25	32	0	8	0.841
11	66	0	8	0.841
16	67	0	8	0.841
10	66	0	8	0.84
44	69	0	8	0.84
10	32	0	8	0.839
11	68	0	8	0.839
19	27	0	8	0.839
11	28	0	8	0.837
10	21	0	8	0.834
14	34	0	8	0.834
14	28	0	8	0.834
10	25	0	8	0.831
16	26	0	8	0.831
12	21	0	8	0.831
25	69	0	8	0.83
26	67	0	8	0.83
10	29	0	8	0.829
27	69	0	8	0.828
26	33	0	8	0.828
20	30	0	8	0.827
17	26	0	8	0.827
30	66	0	8	0.824
13	21	0	8	0.823
18	27	0	8	0.823
12	66	0	8	0.821
10	24	0	8	0.821
12	68	0	8	0.82
26	69	0	8	0.82
25	67	0	8	0.82
13	34	0	8	0.82
END

