Given an abstract from a research paper, your task is to identify and label relationships between chemical compounds and genes mentioned in the abstract.

The relationship type must be one of ['DOWNREGULATOR', 'SUBSTRATE', 'INDIRECT-REGULATOR', 'PART-OF', 'MODULATOR-ACTIVATOR', 'REGULATOR', 'INHIBITOR', 'COFACTOR', 'UPREGULATOR', 'ACTIVATOR', 'ANTAGONIST', 'NOT', 'INDIRECT-DOWNREGULATOR', 'SUBSTRATE_PRODUCT-OF', 'INDIRECT-UPREGULATOR', 'AGONIST', 'PRODUCT-OF', 'MODULATOR', 'DIRECT-REGULATOR', 'UNDEFINED', 'AGONIST-INHIBITOR', 'AGONIST-ACTIVATOR', 'MODULATOR-INHIBITOR'].

Please format your output as a JSON array. Each entry in the array should express a single relation, formatted as ["<Entity_A>", "<RELATION_A_B>", "<Entity_B>"]. If no relations can be found, please output an empty JSON array [].

Abstract:

[ Change of dopamine transporter activity (DAT) during the action of bupropion (in depression) ]. Bupropion has an antidepressant effect through blocking the dopamine transporter. By 99mTc-TRODAT-SPECT, we measured the baseline DAT activity of depressed patients. After 3 weeks ' bupropion treatment we studied the change in DAT activity, which corresponds to the occupancy of bupropion. The average occupancy of bupropion on DAT was similar to the international findings at 20.84% in 9 depressed patients.
[["Bupropion", "INHIBITOR", "dopamine transporter"], ["bupropion", "REGULATOR", "DAT"], ["bupropion", "REGULATOR", "dopamine transporter"], ["bupropion", "DIRECT-REGULATOR", "DAT"]]