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:

A step toward the reactivation of aged cholinesterases - Crystal structure of ligands binding to aged human butyrylcholinesterase. Organophosphorus nerve agents irreversibly inhibit cholinesterases. Phosphylation of the catalytic serine can be reversed by the mean of powerful nucleophiles like oximes. But the phosphyl adduct can undergo a rapid spontaneous reaction leading to an aged enzyme, i.e., a conjugated enzyme that is no longer reactivable by oximes. One strategy to regain reactivability is to alkylate the phosphylic adduct. Specific alkylating molecules were synthesized and the crystal structures of the complexes they form with soman-aged human butyrylcholinesterase were solved. Although the compounds bind in the active site gorge of the aged enzyme, the orientation of the alkylating function appears to be unsuitable for efficient alkylation of the phosphylic adduct. However, these crystal structures provide key information to design efficient alkylators of aged-butyrylcholinesterase and specific reactivators of butyrylcholinesterase.
{"Chemical": ["Organophosphorus", "oximes", "soman", "serine"]}