Fig. 5 | Nature Communications

Fig. 5

From: High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology

Fig. 5

Prediction of the nonclinical compounds using the HT-BAMing technology. a List of top-rated compounds predicted to be potent N03:Antiepileptic drug candidates. Compounds sharing the same molecular targets were shaded in the same color. b−d The chemical structures of several predicted potent antiepileptic compounds with distinct molecular targets, including b GABA modulators (gaboxadol, NNC-711 and SKF-89976), c AMPA modulators (GYKI-52466, GYKI-53655 and fanapanel), and d HDAC inhibitors (tubastatin A, CI-994 and YC-5-169)

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