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:

Discovery of a synthetic Aminopeptidase N inhibitor LB-4b as a potential anticancer agent. APN inhibitors have been considered as potential anticancer agents for years. LB-4b is the first synthetic APN inhibitor to be evaluated for both of its anti-invasion and anti-angiogenesis effects. As a potent synthetic APN inhibitor (IC50=850nM, versus bestatin of 8.1μM), LB-4b was determined to have more significant block effects to cancer cell invasion and angiogenesis than bestatin. Besides, it is able to be easily synthesized with a high total yield, while the reported synthetic methods of bestatin are much more complex.
[["LB-4b", "INHIBITOR", "APN"], ["LB-4b", "INHIBITOR", "Aminopeptidase N"], ["bestatin", "INHIBITOR", "APN"]]