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:

Optimization of 5-hydroxytryptamines as dual function inhibitors targeting phospholipase A2 and leukotriene A4 hydrolase.
Dual function inhibitors targeting phospholipase A(2) (PLA(2)) and leukotriene A(4) hydrolase (LTA(4)H) may balance the arachidonic acid (AA) metabolic network and be used as new anti-inflammatory drugs. In previous study, we discovered multi-target drugs towards the AA metabolic network, among which a dual-target inhibitor (JMC08-4) for human nonpancreatic secretory phospholipase A(2) (hnps-PLA(2)) and human leukotriene A(4) hydrolase (LTA(4)H-h) was found. Based on the structure of compound JMC08-4, new dual-target inhibitors were designed assisted by molecular docking. In this report, a series of 5-hydroxytryptamine compounds were synthesized; and most of these title compounds showed more potent inhibitory activity than compound JMC08-4 in the in vitro bioassay against these two enzymes. The best one inhibited hnps-PLA(2) and LTA(4)H-h with IC(50) values of 9.2 ± 0.5 μM and 2.4 ± 1.4 μM, respectively.
{"Chemical": ["5-hydroxytryptamines", "JMC08-4", "5-hydroxytryptamine", "arachidonic acid"], "Protein": ["PLA(2)", "LTA(4)H", "phospholipase A2", "phospholipase A(2)", "leukotriene A4 hydrolase", "human leukotriene A(4) hydrolase", "leukotriene A(4) hydrolase", "LTA(4)H-h", "human nonpancreatic secretory phospholipase A(2)", "hnps-PLA(2)"]}