You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Protein", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Dexamethasone", ...], "Protein" : ["BRCA-1", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Inhibitory effects of the monoamine oxidase inhibitor tranylcypromine on the cytochrome P450 enzymes CYP2C19, CYP2C9, and CYP2D6.
1. The inhibitory effects of tranylcypromine, a nonselective irreversible inhibitor of monoamine oxidase (MAO), on three cytochrome P450 (CYP) enzymes, namely CYP2C9, CYP2C19, and CYP2D6, have been evaluated in vitro. 2. The studies were conducted using cDNA-expressed human CYP enzymes and probe substrates. 3. A range of substrate concentrations was coincubated with a range of tranylcypromine concentrations in the presence of each of the CYP enzymes at 37 degrees C for a predetermined period of time. Product concentrations were quantified by HPLC with UV detection. 4. The results demonstrated that tranylcypromine is a competitive inhibitor of CYP2C19 (Ki = 32 microM) and CYP2D6 (Ki = 367 microM) and a noncompetitive inhibitor of CYP2C9 (Ki = 56 microM). 5. None of these inhibitory effects are considered clinically significant at usual therapeutic doses. However, in certain situations such as high dose tranylcypromine therapy, or in poor metabolizers of CYP2C19 substrates, clinically significant interactions might occur, particularly when tranylcypromine is coadministered with drugs with a narrow therapeutic index.
{"Chemical": ["tranylcypromine", "monoamine"], "Protein": ["human CYP", "MAO", "CYP", "monoamine oxidase", "CYP2C19", "cytochrome P450", "CYP2C9", "CYP2D6"]}