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. 2010 May 25;24(8):675–686. doi: 10.1007/s10822-010-9365-1

Table 2.

The minimum RMSDs between the bioactive conformations and the structures from the different computer-generated datasets

Ligand omega a nmrclust b rms c rms_avg d Ligand omega a nmrclust b rms c rms_avg d
1CIM 1.199 1.199 1.199 1.199 1UVT 1.315 1.329 1.296 1.315
1QPE 0.775 0.775 0.736 0.775 1YDT 1.104 1.154 1.154 1.154
1YDR 0.932 0.932 0.932 0.932 2CGR 1.087 1.087 1.659 1.613
2PCP 1.14 1.14 1.14 1.14 3ERT 0.384 0.569 0.472 0.738
1F4E 0.787 0.787 1.019 0.801 1M48 1.315 1.41 1.658 1.678
1FCX 0.761 0.81 0.871 0.81 1NHU 1.267 1.458 1.458 1.458
1H1P 0.493 0.681 0.708 0.708 1NHV 1.227 1.227 1.051 1.051
1H9U 0.766 1 0.772 0.772 2QWI 1.035 1.114 1.082 1.106
1 JSV 1.049 1.229 1.229 1.229 1K1 J 1.528 1.528 1.528 1.528
1BR6 0.6 0.751 0.6 0.6 1KV2 2.163 2.118 2.167 2.143
1DLR 0.164 0.164 0.599 0.599 1MQ6 0.991 1.177 1.197 1.23
1FCZ 1.083 1.105 1.114 1.114 7DFR 1.654 1.851 0.929 1.455
1L2S 0.533 0.738 1.033 0.935 1EZQ 0.871 0.953 1.054 1.116
2CSN 0.267 0.33 0.267 0.267 1FKG 1.639 1.66 1.118 1.413
1K7E 0.857 0.977 0.796 1.113 1K22 1.02 1.02 1.224 1.224
1KV1 0.435 0.435 0.63 0.8 1QBU 1.241 1.453 1.509 1.446
1QL9 0.836 1.018 1.064 0.98 1HFC 1.018 1.306 1.386 1.047
1YDS 0.951 1.058 1.008 1.065 1MNC 0.572 1.057 1.152 1.152
5STD 0.314 0.586 1.351 1.663 1OHR 1.174 1.298 1.298 1.298
1EVE 0.394 0.467 0.969 1.082 1UVS 1.483 1.541 1.541 1.541
1F0T 0.933 1.13 1.204 0.932 7EST 1.25 1.475 1.371 1.393
1H1S 0.839 0.839 1.153 1.231 1ELA 0.892 0.892 0.945 1.108
1HDQ 0.766 0.766 0.788 1.099 1GWX 1.375 1.375 1.375 1.375
1K7F 0.715 0.715 0.807 0.807 1HPV 1.094 1.094 1.733 1.136
1A42 0.907 0.951 0.937 1.012 1O86 0.885 1.05 1.205 1.205
1IF7 0.334 0.534 0.941 0.657 1F4G 1.266 1.304 1.367 1.367
1L8G 1.44 1.44 1.361 1.361 1HTF 1.284 1.395 1.395 1.256
1LQD 0.724 0.992 1.138 0.726 1MMB 0.915 0.915 0.915 0.915
966C 1.41 1.525 1.625 1.625 Average 0.973 1.068 1.127 1.131

It can be seen that the bioactive conformer is present when a smaller ensemble size is employed

aEnumerated with recommended settings in OMEGA

Generated by: b Clustering the OMEGA conformers employing the NMRCLUST algorithm

cAdjusting the rms parameter of OMEGA to generate similar numbers of conformers as the number of clusters identified by the NMRCLUST algorithm

dPartitioning the dataset into low, medium and large numbers of rotatable bonds, averaging the rms values in each group and using the averaged rms values