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:

The unexpected side effects of new nonsteroidal anti-inflammatory drugs. Conventional nonselective NSAIDs are classically associated with a risk of gastrointestinal disorders. These drugs have a broad range of relative selectivity towards the COX family, mainly towards two isoforms of these enzymes: COX-1 and -2. As examples, ketorolac, flurbiprofen, ketoprofen and indomethacin have increased COX-1 selectivity when compared with naproxen and ibuprofen.
[["ibuprofen", "REGULATOR", "COX-1"], ["ketoprofen", "REGULATOR", "COX-1"], ["naproxen", "REGULATOR", "COX-1"], ["flurbiprofen", "REGULATOR", "COX-1"], ["ketorolac", "REGULATOR", "COX-1"], ["indomethacin", "REGULATOR", "COX-1"]]