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: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. 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:

Synthesis, antibacterial activity and docking of 14-membered 9-O-(3-arylalkyl) oxime 11,12-cyclic carbonate ketolides. A series of 9-O-(3-aryl-2-propargyl)oxime ketolides 8 was synthesized and evaluated for in vitro antibacterial activity. Among 8, 8b-8d, and 8h-8l displayed dramatically improved potency against inducibly MLS(B)-resistant and efflux-resistant pathogens as compared to clarithromycin and azithromycin. Especially, 8i (Ar=4-isoquinolyl) possessed an MIC of 0.064 μg/mL against constitutively MLS(B)-resistant Streptococcus pneumoniae, and MICs of 0.032-0.064 μg/mL against methicillin-resistant Staphylococcus aureus and methicillin-resistant Staphylococcus hominis. The analog 10 with a propyl linker was less effective than both the corresponding 8 and 9 containing propynyl and propenyl linkers. A docking study was performed to gain insight into the binding mode of series 8 and 9 and to rationalize the disparity found in the SAR of 8 and 9.
{"Chemical": ["4-isoquinolyl", "propenyl", "methicillin", "propynyl", "14-membered 9-O-(3-arylalkyl) oxime 11,12-cyclic carbonate ketolides", "azithromycin", "propyl", "clarithromycin", "9-O-(3-aryl-2-propargyl)oxime ketolides"]}