TABLE 2

Results of codon-based models for detecting selection for binding domain

ModellaϖbParametersc
M0 (single ω)−442.310.235ω = 0.235
M1 (neutral)−442.530.273ω0 = 0 (p0 = 0.73)
ω1 = 1 (p1 = 0.27)
M2 (selection)−442.310.235ω0 = 0 (p0 = 0.00)
ω1 = 1 (p1 = 0.00)
ω2 = 0.235 (p2 = 1.00)
M3 (discrete)−442.310.235ω0 = 0 (p0 = 0.00)
ω1 = 0.008 (p1 = 0.00)
ω2 = 0.235 (p2 = 1.00)
M7 (β)−442.320.236α = 30.54; β = 99
M8 (β + ω)−442.320.236p0 = 1.00; α = 30.54;
   β = 99
p1 = 0.00; ω = 30.55
  • a Log-likelihood of data.

  • b Mean dN/dS ratio for entire domain.

  • c pi, the proportion of codons that falls in each category.