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:

Human serum albumin-based design of a diflunisal prodrug. The cyclooxygenase-2 inhibitor, diflunisal, is used in the clinic for its anti-inflammatory activity. About 99% of a dose of diflunisal is unavailable for reaction with the target enzyme, because diflunisal strongly binds to human serum albumin (HSA). To reduce the binding affinity of diflunisal to albumin, we designed and synthesized the prodrug acetyldiflunisal. The crystal structure of HSA complexed with fatty acid and acetyldiflunisal revealed that acetyldiflunisal binds to the IIA subdomain and that upon binding, it acetylates lysine 199. Mass spectrometry confirmed that acetyldiflunisal acetylates Lys199. The acetylated albumin had twofold weaker binding affinity for diflunisal as demonstrated by fluorescence quenching. Reduced binding affinity means that diflunisal is more easily released from acetylated albumin into the circulation. Therefore, lower doses of acetyldiflunisal compared to diflunisal will be required. Taken together, our results not only provide a template for design of HSA-based prodrugs, but also pave the way toward more effective use of diflunisal in the clinic.
{"Chemical": ["acetyldiflunisal", "diflunisal", "lysine", "Lys", "fatty acid"]}