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:

The preparation and human muscarinic receptor profiling of oxybutynin and N-desethyloxybutynin enantiomers.
Oxybutynin (1) is a non-selective muscarinic receptor antagonist that is used clinically for the treatment of urinary incontinence. The major metabolite of oxybutynin in humans is desethyloxybutynin (2). We have prepared the enantiomers of 1 and 2 and evaluated their ability to displace N-CT(3)-scopolamine chloride ((3)H-NMS) binding on human cloned muscarinic m1-5 receptors. Compounds 1 and 2 potently displaced (3)H-NMS binding at m1, m3 and m4 receptors, but were less potent at the m2 and m5 subtypes. However, metabolite 2 was more potent than the parent compound 1 in the binding assay. In general the R enantiomers were more potent than their respective S enantiomers. Therefore, we suggest that the cholinergic side effects associated with 2 may be due to its greater apparent potency with m1 and m3 receptors, especially of its R-enantiomer, when compared with parent drug 1.
{"Chemical": ["N-CT(3)-scopolamine chloride", "N-desethyloxybutynin", "Oxybutynin", "(3)H-NMS", "oxybutynin", "desethyloxybutynin"], "Protein": ["human cloned muscarinic m1-5 receptors", "m5", "m2", "muscarinic receptor", "human muscarinic receptor", "m1, m3 and m4 receptors", "m1 and m3 receptors"]}