Model Data

Training Set:= NCI_1NCI Dataset 80 x CA & 300 x CI
Model Type:=Additive
Descriptors:=2D_3_Point
Number of compounds used in model=380
Number of active compounds=80
Number of inactive compounds=300
Number of Fragments=17976
Proposed Minimal Score=105.281Validation Set: NCI_2


This model has been validated:


Occurence of Model Features
Average Weight of Model Features

Top 10 fragments:
NameIDWeightChi2ActivesInactivesTotal
HD 3 RA 8 HP 805.41674.23220020
RA 8 HP 3 HP 8 C=415.31165.95818018
RA 7 HP -101 HP 8 C=425.25461.85617017
RA 7 HP -102 HP 8 C=435.25461.85617017
RA 7 HP 2 HP 845.25461.85617017
HA 0 AA 8 HP 8 C=455.25461.85617017
RA 7 HP 3 HP 865.25461.85617017
RA 7 HP -103 HP 8 C=475.19357.77716016
HA 3 HP 6 HP 8 C=285.19357.77716016
HA 6 HD 6 AA 595.19357.77716016

Least 10 fragments:
NameIDWeightChi2ActivesInactivesTotal
HA 7 HA 0 RA 717966-4.1434.66302121
HA -105 Ba 4 AA 217967-4.1434.66302121
HA 8 Hal 4 AA -107 C=217968-4.1434.66302121
HA 0 Ba 7 AA 717969-4.1904.95502222
Ba -105 AA 1 AA 417970-4.1904.95502222
Hal 4 AA -107 AA 817971-4.2345.25002323
HA 2 HD 4 AA 217972-4.2775.54602424
Hal 1 AA 8 AA 817973-4.3175.84502525
Ba -105 AA 1 AA 517974-4.3576.14502626
HA 0 Ba 5 AA 517975-4.5007.36503030

You may download the model data as EXCEL file


Page Owner: Alberto Gobbi