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Table 6 Experiments on Selected Datasets of MSA-GA

From: Vertical decomposition with Genetic Algorithm for Multiple Sequence Alignment

Reference No. Name of
Dataset
MSA-GA MSA-GA
w/prealign
ClUSTAL W    VDGA_ Decomp_2    VDGA_Decomp_3    VDGA_Decomp_4
Ref. 1 1idy 0.427 0.438 0.500 0.550 0.651 0.654
  1tvxA 0.295 0.209 0.042 0.316 0.316 0.310
  1uky 0.443 0.405 0.392 0.416 0.459 0.464
  Kinase 0.295 0.488 0.479 0.531 0.545 0.548
  1ped 0.501 0.687 0.592 0.443 0.482 0.451
  2myr 0.212 0.302 0.296 0.347 0.359 0.282
  1ycc 0.650 0.653 0.643 0.752 0.839 0.685
  3cyr 0.772 0.789 0.767 0.797 0.898 0.797
  1ad2 0.821 0.845 0.773 0.959 0.950 0.941
  1ldg 0.895 0.922 0.880 0.914 0.946 0.903
  1fieA 0.843 0.942 0.932 0.926 0.960 0.927
  1sesA 0.620 0.913 0.913 0.917 0.962 0.923
  1krn 0.908 0.895 0.895 0.942 0.960 0.892
  2fxb 0.941 0.985 0.985 0.978 0.978 0.978
  1amk 0.965 0.959 0.945 0.982 0.984 0.982
  1ar5A 0.812 0.946 0.946 0.942 0.968 0.954
  1gpb 0.868 0.948 0.947 0.976 0.984 0.983
  1taq 0.525 0.826 0.826 0.938 0.959 0.944
Ref. 2 2pia 0.761 0.768 0.766 0.847 0.850 0.839
  1pamA 0.755 0.758 0.757 0.857 0.863 0.853
Ref. 3 Kinase 0.58 0.619 0.619 0.870 0.890 0.887
  1pamA 0.703 0.744 0.743 0.853 0.788 0.792
Ref. 4 1dynA 0.038 0.034 0.000 0.029 0.033 0.031
  Kinase2 0.71 0.635 0.630 0.330 0.542 0.478
Ref. 5 2cba 0.422 0.621 0.628 0.839 0.835 0.846
  S51 0.528 0.73 0.75 0.650 0.743 0.756
Average Score 0.627 0.695 0.679 0.727 0.744 0.735