

PFRMAT RR
TARGET T0098
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
DNKPKNLDASITSIIHEIGVPAHIKGYLYLREAIAMVYHDIELLGSITKV 
LYPDIAKKYNTTASRVERAIRHAIEVAWSRGNLESISSLFGYTVSVSKAK 
PTNSEFIAMVADKLRLEHKAS 
153	160	0	8	0.886
153	166	0	8	0.87
153	168	0	8	0.865
152	162	0	8	0.865
161	231	0	8	0.857
162	214	0	8	0.844
163	230	0	8	0.831
160	168	0	8	0.829
149	162	0	8	0.825
153	189	0	8	0.825
194	214	0	8	0.815
162	229	0	8	0.814
152	161	0	8	0.811
161	230	0	8	0.809
160	227	0	8	0.803
160	229	0	8	0.801
160	189	0	8	0.8
162	189	0	8	0.797
161	244	0	8	0.796
186	214	0	8	0.794
153	162	0	8	0.792
194	244	0	8	0.79
215	245	0	8	0.785
182	230	0	8	0.778
168	214	0	8	0.769
162	232	0	8	0.765
155	163	0	8	0.764
161	228	0	8	0.763
164	231	0	8	0.761
152	230	0	8	0.758
152	160	0	8	0.758
154	162	0	8	0.757
150	161	0	8	0.756
160	228	0	8	0.756
153	161	0	8	0.756
162	231	0	8	0.755
189	214	0	8	0.755
162	230	0	8	0.754
152	165	0	8	0.752
153	181	0	8	0.747
160	230	0	8	0.738
153	214	0	8	0.736
162	228	0	8	0.734
168	228	0	8	0.732
189	211	0	8	0.731
153	231	0	8	0.727
160	224	0	8	0.727
165	228	0	8	0.725
189	245	0	8	0.724
162	245	0	8	0.724
157	231	0	8	0.723
168	244	0	8	0.722
182	228	0	8	0.715
150	160	0	8	0.713
154	161	0	8	0.712
156	165	0	8	0.706
160	231	0	8	0.706
145	162	0	8	0.706
186	231	0	8	0.706
165	230	0	8	0.704
154	231	0	8	0.701
164	229	0	8	0.7
162	244	0	8	0.699
168	181	0	8	0.697
186	244	0	8	0.697
168	189	0	8	0.697
161	233	0	8	0.696
150	159	0	8	0.695
193	214	0	8	0.695
182	224	0	8	0.692
152	168	0	8	0.692
160	232	0	8	0.691
162	193	0	8	0.69
215	229	0	8	0.688
151	161	0	8	0.685
150	157	0	8	0.683
153	230	0	8	0.681
162	227	0	8	0.679
155	231	0	8	0.676
162	181	0	8	0.673
147	162	0	8	0.672
150	162	0	8	0.672
153	229	0	8	0.669
162	224	0	8	0.666
168	175	0	8	0.664
189	230	0	8	0.663
182	214	0	8	0.662
149	161	0	8	0.661
208	215	0	8	0.659
165	211	0	8	0.659
168	211	0	8	0.658
153	167	0	8	0.658
153	232	0	8	0.657
189	208	0	8	0.656
165	218	0	8	0.656
207	244	0	8	0.656
161	247	0	8	0.655
156	230	0	8	0.654
182	208	0	8	0.654
194	228	0	8	0.653
152	189	0	8	0.653
207	214	0	8	0.651
168	258	0	8	0.65
149	158	0	8	0.65
153	224	0	8	0.649
189	204	0	8	0.649
153	179	0	8	0.647
167	230	0	8	0.647
153	228	0	8	0.647
154	230	0	8	0.644
216	244	0	8	0.642
168	216	0	8	0.64
159	231	0	8	0.639
155	236	0	8	0.639
149	160	0	8	0.638
214	246	0	8	0.636
160	215	0	8	0.636
168	224	0	8	0.635
165	189	0	8	0.635
182	189	0	8	0.634
164	230	0	8	0.634
152	231	0	8	0.633
156	168	0	8	0.633
168	215	0	8	0.633
161	234	0	8	0.632
171	244	0	8	0.632
208	224	0	8	0.631
171	214	0	8	0.631
160	207	0	8	0.631
160	216	0	8	0.629
152	232	0	8	0.629
204	258	0	8	0.629
160	234	0	8	0.629
193	216	0	8	0.629
186	229	0	8	0.628
153	175	0	8	0.628
165	224	0	8	0.628
168	227	0	8	0.627
189	244	0	8	0.625
189	224	0	8	0.625
163	231	0	8	0.625
152	181	0	8	0.625
161	229	0	8	0.624
154	228	0	8	0.624
165	229	0	8	0.624
160	175	0	8	0.624
153	164	0	8	0.623
193	208	0	8	0.623
150	231	0	8	0.622
182	245	0	8	0.621
149	230	0	8	0.621
168	204	0	8	0.621
160	185	0	8	0.62
146	161	0	8	0.619
153	182	0	8	0.619
162	182	0	8	0.619
208	244	0	8	0.618
215	247	0	8	0.617
153	171	0	8	0.616
161	216	0	8	0.614
152	185	0	8	0.613
172	181	0	8	0.612
204	254	0	8	0.611
153	208	0	8	0.611
212	224	0	8	0.611
211	244	0	8	0.611
152	167	0	8	0.61
159	230	0	8	0.609
153	193	0	8	0.609
165	246	0	8	0.608
161	189	0	8	0.608
165	236	0	8	0.607
182	215	0	8	0.606
190	228	0	8	0.605
182	190	0	8	0.605
204	224	0	8	0.604
157	244	0	8	0.604
156	167	0	8	0.604
160	244	0	8	0.604
160	212	0	8	0.601
156	194	0	8	0.599
153	244	0	8	0.599
153	185	0	8	0.598
194	231	0	8	0.598
161	235	0	8	0.598
160	167	0	8	0.598
161	191	0	8	0.597
168	182	0	8	0.597
193	247	0	8	0.596
189	246	0	8	0.594
212	258	0	8	0.594
189	227	0	8	0.593
208	247	0	8	0.593
160	208	0	8	0.593
160	182	0	8	0.593
159	233	0	8	0.593
162	233	0	8	0.593
148	161	0	8	0.592
215	244	0	8	0.592
214	244	0	8	0.592
214	247	0	8	0.591
163	228	0	8	0.591
193	245	0	8	0.591
154	164	0	8	0.591
186	193	0	8	0.59
182	216	0	8	0.59
160	204	0	8	0.59
157	229	0	8	0.589
182	193	0	8	0.589
161	199	0	8	0.589
155	238	0	8	0.589
168	207	0	8	0.588
155	230	0	8	0.587
161	232	0	8	0.587
172	189	0	8	0.587
154	165	0	8	0.586
189	228	0	8	0.586
207	228	0	8	0.584
165	182	0	8	0.584
168	212	0	8	0.583
154	166	0	8	0.582
244	259	0	8	0.582
153	165	0	8	0.582
159	229	0	8	0.581
149	164	0	8	0.581
167	224	0	8	0.58
156	258	0	8	0.58
149	168	0	8	0.578
166	211	0	8	0.578
182	232	0	8	0.578
149	156	0	8	0.577
175	208	0	8	0.577
152	228	0	8	0.577
189	212	0	8	0.577
168	193	0	8	0.577
165	203	0	8	0.575
167	214	0	8	0.575
214	245	0	8	0.574
189	247	0	8	0.573
204	228	0	8	0.573
149	185	0	8	0.573
152	166	0	8	0.573
END



