

PFRMAT RR
TARGET T0099
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
EFIAIYDYKA ETEEDLTIKK GEKLEIIEKE GDWWKAKAIG SGEIGYIPAN YIAAAE
4	26	0	8	0.835
4	24	0	8	0.825
4	27	0	8	0.819
5	34	0	8	0.798
4	36	0	8	0.782
5	24	0	8	0.769
5	36	0	8	0.768
6	36	0	8	0.761
6	34	0	8	0.758
34	51	0	8	0.747
24	36	0	8	0.739
5	27	0	8	0.739
26	36	0	8	0.738
4	34	0	8	0.735
27	36	0	8	0.734
6	26	0	8	0.729
4	23	0	8	0.723
6	24	0	8	0.708
6	51	0	8	0.706
4	25	0	8	0.706
3	27	0	8	0.706
5	26	0	8	0.705
8	51	0	8	0.703
3	47	0	8	0.699
6	23	0	8	0.697
33	47	0	8	0.694
34	47	0	8	0.688
6	46	0	8	0.688
18	51	0	8	0.686
6	27	0	8	0.682
18	34	0	8	0.682
18	33	0	8	0.68
3	26	0	8	0.68
24	34	0	8	0.679
33	46	0	8	0.678
36	45	0	8	0.677
18	46	0	8	0.675
26	34	0	8	0.673
2	46	0	8	0.671
5	33	0	8	0.671
34	45	0	8	0.669
4	46	0	8	0.668
4	45	0	8	0.668
6	35	0	8	0.667
6	37	0	8	0.666
33	45	0	8	0.666
3	24	0	8	0.666
4	37	0	8	0.662
36	46	0	8	0.66
27	34	0	8	0.659
3	36	0	8	0.655
3	46	0	8	0.652
4	51	0	8	0.646
8	46	0	8	0.645
5	47	0	8	0.645
16	47	0	8	0.643
6	18	0	8	0.642
6	16	0	8	0.64
6	25	0	8	0.638
3	52	0	8	0.638
6	45	0	8	0.635
8	47	0	8	0.634
5	35	0	8	0.634
33	51	0	8	0.634
8	33	0	8	0.633
16	46	0	8	0.633
36	47	0	8	0.63
5	25	0	8	0.63
23	34	0	8	0.628
5	23	0	8	0.628
16	52	0	8	0.627
16	33	0	8	0.626
5	51	0	8	0.626
18	36	0	8	0.626
36	52	0	8	0.625
8	48	0	8	0.622
26	46	0	8	0.621
23	46	0	8	0.62
8	18	0	8	0.618
5	46	0	8	0.615
34	46	0	8	0.613
7	45	0	8	0.612
38	45	0	8	0.612
7	34	0	8	0.612
36	51	0	8	0.612
3	25	0	8	0.611
3	34	0	8	0.608
4	33	0	8	0.608
23	36	0	8	0.607
33	52	0	8	0.606
18	47	0	8	0.602
8	16	0	8	0.602
4	35	0	8	0.6
8	36	0	8	0.6
7	36	0	8	0.599
8	45	0	8	0.596
24	35	0	8	0.595
33	48	0	8	0.593
4	16	0	8	0.592
25	37	0	8	0.589
4	38	0	8	0.587
2	51	0	8	0.587
2	27	0	8	0.584
37	46	0	8	0.584
17	45	0	8	0.583
7	51	0	8	0.583
6	33	0	8	0.582
18	52	0	8	0.581
27	51	0	8	0.581
27	46	0	8	0.58
8	34	0	8	0.58
16	34	0	8	0.58
END



