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:

Melanoma targeting property of a Lu-177-labeled lactam bridge-cyclized alpha-MSH peptide.
The purpose of this study was to determine the melanoma targeting property of (177)Lu-DOTA-GGNle-CycMSHhex in B16/F1 melanoma-bearing C57 mice. (177)Lu-DOTA-GGNle-CycMSHhex exhibited high receptor-mediated melanoma uptake and fast urinary clearance. The tumor uptake of (177)Lu-DOTA-GGNle-CycMSHhex was 20.25 ± 4.59 and 21.63 ± 6.27% ID/g at 0.5 and 2h post-injection, respectively. Approximately 83% of injected dose cleared out the body via urinary system at 2h post-injection. (177)Lu-DOTA-GGNle-CycMSHhex showed high tumor to normal organ uptake ratios except for the kidneys. The tumor/kidney uptake ratios of (177)Lu-DOTA-GGNle-CycMSHhex were 2.76 and 1.74 at 2 and 24h post-injection. The melanoma lesions were clearly visualized by SPECT/CT using (177)Lu-DOTA-GGNle-CycMSHhex as an imaging probe at 2h post-injection. Overall, high melanoma uptake coupled with fast urinary clearance of (177)Lu-DOTA-GGNle-CycMSHhex underscored its potential for melanoma treatment in the future.
{"Chemical": ["Lu-177", "lactam", "(177)Lu-DOTA-GGNle-CycMSHhex"], "Protein": ["alpha-MSH", "MSH"]}