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:

Development of hypoxia-inducible factor (HIF)-1α inhibitors: effect of ortho-carborane substituents on HIF transcriptional activity under hypoxia. A series of substituted ortho-carboranylphenoxyacetanilides were synthesized and evaluated for their ability to inhibit hypoxia-induced HIF-1 transcriptional activity using a cell-based reporter assay in HeLa cells expressing the HRE-dependent firefly luciferase reporter construct (HRE-Luc) and constitutively expressing CMV-driven Renilla luciferase reporter, and their ability to inhibit cell growth (GI(50)) using the MTT assay. Among the compounds synthesized, 1g and 1l showed significant inhibition of hypoxia-induced HIF-1 transcriptional activity (IC(50): 1.9 ± 0.4 and 1.4 ± 0.2 μM, respectively). Both compounds suppressed HIF-1α accumulation in a concentration-dependent manner. The porcine heart malate dehydrogenase (MDH) refolding assay revealed that compound 1l inhibited human Hsp60 chaperone activity (IC(50): 6.80 ± 0.25 μM) and this inhibition activity was higher than that of ETB (IC(50): 10.9 ± 0.63 μM).
{"Chemical": ["ortho-carborane", "ETB", "malate", "ortho-carboranylphenoxyacetanilides", "MTT"]}