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. 2022 Jul 19;25(8):104787. doi: 10.1016/j.isci.2022.104787

Table 3.

Top 3 similarity matches from an unsupervised search of the BioMAP Reference Database of >4,000 agents for each concentration of OXS007464

Dose Database match BioMap Z-standard Pearson’s Score # of common biomarkers Mechanism Class
800 nM Colchicine 1.1 μM 17.479 0.896 148 Microtubule Disruptor
Fosbretabulin Disodium 1.1 μM 17.247 8.892 148 Microtubule Disruptor
Fosbretabulin Disodium 3.3 μM 17.157 0.891 148 Microtubule Disruptor
200 nM Fosbretabulin Disodium 3.3 μM 19.495 0.924 148 Microtubule Disruptor
Fosbretabulin Disodium 10 μM 19.257 0.922 147 Microtubule Disruptor
Fosbretabulin Disodium 30 μM 19.188 0.921 148 Microtubule Disruptor
50 nM GSK46136A, 370nM 16.977 0.877 148 PLK1 inhibitor
Vincristine Sulfate, 14 nM 16.926 0.877 148 Microtubule Disruptor
Pironectin, 14 nM 16.486 0.881 146 Microtubule Disruptor
12 nM Erastin, 370nM 5.678 0.496 112 VDAC2 Blocker
SR-2640, 30 μM 4.851 0.392 140 Leukotriene
Bemegride, 32 μM 4.364 0.428 94 GABA-A Receptor Antagonist

The similarity between agents is determined using a combinatorial approach that accounts for the characteristics of BioMAP profiles by filtering (Tanimoto metric) and ranking (BioMAP Z-Standard) the Pearson’s correlation coefficient between two profiles. Profiles are identified as having mechanistically relevant similarity if the Pearson’s correlation coefficient is ≥0.7.