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

Table 4.

Top 3 similarity matches from an unsupervised search of the BioMAP Reference Database of >4,000 agents for each concentration of OXS007417

Dose Database match BioMap Z-standard Pearson’s Score # of common biomarkers Mechanism Class
800 nM Pironetin, 14 nM 18.362 0.911 146 Microtubule Disruptor
Pironetin, 41 nM 17.424 0.897 146 Microtubule Disruptor
Epothilone B, 37 nM 17.402 0.895 148 Microtubule Disruptor
200 nM Pironetin, 14 nM 21.666 0.948 146 Microtubule Disruptor
Epothilone B, 37 nM 20.508 0.936 148 Microtubule Disruptor
Epothilone B, 12 nM 19.731 0.927 148 Microtubule Disruptor
50 nM Paroxetine Hydrochloride, 14 μM 7.380 0.639 98 SERT Antagonist
Nifedipine, 14 μM 6.934 0.612 98 L-type Ca++ Channel Antagonist
TMP-153, 370 μM 6.926 0.519 148 ACAT Inhibitor
12 nM Droperidol, 14 nM 4.935 0.388 148 Dopamine R Antagonist
Fludrortisone, 14 nM 4.739 0.376 147 GR Agonist
Sunitinib Malate, 14nM 4.577 0.363 148 VEGFR2 Inhibitor

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.