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Table 1 RFP-relevant HCV sites.

From: Computational models of liver fibrosis progression for hepatitis C virus chronic infection





450, 500, 548, 581, 584, 602, 630, 659, 4484, 4492, 4496, 4514, 4535, 4538, 4560, 4610, 8324, 8342, 8378, 8435, 8438, 8480, 8540, 8546 and 8606


VizRank b


12-feature projection

8480X5, 4496X2, 4484X1, 450X3, 4496X4, 8606X5, 8480X1, 8606X1, 8435X5, 8378X4, 4496X1, 4496X3


9-feature projection

4496X4, 8480X5, 450X3, 8606X4, 4484X4, 8435X5, 8606X3, 4496X5, 8378X2


  1. §Genomic positions assigned based on reference sequence Con1.
  2. aA total of 3,757 feature subsets were evaluated by CFS search method. Scoring metric is based on the merit heuristic. Merit scores of feature subsets of the individual regions were also computed: core (0.19), NS3 (0.28) and NS5b (0.20). CFS sites, physicochemical properties of which were selected for the RFP-relevant projections are shown in bold.
  3. bFeatures are listed in the placement order of base vectors in LP graphs shown in Fig. 1. Site-specific physicochemical properties are denoted X1(hydrophobicity), X2(polarity), X3(dipole moment), X4(surface area) and X5(stacking area). See methods for details on scoring metric.