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:

Pharmacological profile of neuroleptics at human monoamine transporters.
Using radioligand binding techniques, we determined the equilibrium dissociation constants (K(D)) for 37 neuroleptics and one metabolite of a neuroleptic (haloperidol metabolite) for the human serotonin, norepinephrine, and dopamine transporters with [3H]imipramine, [3H]nisoxetine, and [3H]WIN35428, respectively. Among neuroleptics, the four most potent compounds at the human serotonin transporter were triflupromazine, fluperlapine, chlorpromazine, and ziprasidone (K(D) 24-39 nM); and at the norepinephrine transporter, chlorpromazine, zotepine, chlorprothixene, and promazine (K(D) 19-25 nM). At the human dopamine transporter, only pimozide (K(D) = 69+/-3) ziprasidone (K(D) = 76+/-5) had notable potency. These data may be useful in predicting therapeutic and adverse effects, including drug interactions of neuroleptics.
{"Chemical": ["zotepine", "neuroleptics", "promazine", "serotonin", "pimozide", "triflupromazine", "chlorprothixene", "[3H]nisoxetine", "dopamine", "ziprasidone", "norepinephrine", "haloperidol", "monoamine", "[3H]WIN35428", "chlorpromazine", "[3H]imipramine", "fluperlapine"], "Protein": ["norepinephrine transporter", "human monoamine transporters", "human dopamine transporter", "human serotonin transporter", "human serotonin, norepinephrine, and dopamine transporters"]}