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:

Recombinant proteins that trigger production of antibodies recognizing botulinum neurotoxin while not possessing sequences of this toxin. Sequences mimicking epitopes of pathogens can be used as effective tools for fast development and characterization of pathogen-specific antibodies. To demonstrate this, we used phage displays and isolated a number of short peptides mimicking epitopes of botulinum neurotoxin serotype A (BoNT/A). Presented data suggest that some of these peptides mimic linear epitopes while others mimic structural epitopes of BoNT/A. All tested peptides retained their ability to be recognized by BoNT/A-specific antibodies even when transferred into new carrier proteins. We demonstrated how such new hybrids can be used for fast conversion of pathogen-specific serums into panels of mono-epitope specific antibodies. We also demonstrated that hybrid proteins carrying multiple isolated peptides can be used as a substitute for BoNT/A in immunization studies and triggers production of BoNT/A-specific antibodies.
{"Chemical": []}