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. 2021 Mar 30;9(4):357. doi: 10.3390/biomedicines9040357

Table 1.

Scoring results for the docking calculations providing the best agreement between the experimental data for the lignan inhibitors and the respective docking a.

Biological Activity b AutoDock Vina SMINA NNScore RF-Score-VS
Compound (% Accumulation) ΔGbind (kcal/mol) ΔGbind (kcal/mol) Kd (nM) Kd (nM)
Lig-1 283 −7.6 −7.60 28.3 702.6
Lig-(-)-2 277 −7.6 −7.57 71.4 567.8
Lig-(+)-2 264 −7.3 −7.30 144.1 631.9
Lig-3 234 −7.3 −8.32 48.3 678.0
Lig-(+)-4 232 −7.8 −7.81 17.5 626.9
Lig-(-)-4 152 −7.8 −7.90 50.7 723.8
Lig-5 202 −7.2 −7.41 46.7 737.1
Lig-6 201 −8.9 −9.08 67.1 583.8
Lig-7 199 −8.0 −9.02 17.9 637.3
Lig-(-)-8 191 −7.2 −7.61 283.2 704.3
Lig-(+)-8 156 −7.2 −7.55 181.0 814.2
Lig-9 187 −8.4 −8.45 41.2 742.7
Lig-10 162 −7.3 −7.85 257.0 554.0
Lig-11 125 −7.3 −7.40 359.8 609.8
Pearson RP b −0.0308 0.0808 −0.5448 −0.2009
Spearman RS c −0.0850 0.1033 −0.4505 −0.2088
(R)-vera 239 −7.9 −8.06 0.74 834.5
(S)-vera 239 −7.3 −8.15 0.46 845.8

a Obtained for cluster 5 from MD; stronger inhibition corresponds to higher % accumulation, more negative binding energy, ΔGbind, and lower dissociation constant, Kd; b intracellular doxorubicin accumulation (in %) in HL60/MDR cells after pretreatment with 25 µM of inhibitor; b Pearson correlation coefficient (RP) between the biological activities and the docking scores; c Spearman’s rank correlation coefficient (RS), which describes the relationship between the biological activities and the docking score using a monotonic function, to assess their consistency in terms of the trends; in all cases, more negative R values correspond to better correlations.