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:

Identification of metal ion binding peptides containing unnatural amino acids by phage display. The bidentate metal binding amino acid bipyridylalanine (BpyAla) was incorporated into a disulfide linked cyclic peptide phage displayed library to identify metal ion binding peptides. Selection against Ni(2+)-nitrilotriacetic acid (NTA) enriched for sequences containing histidine and BpyAla. BpyAla predominated when selections were carried out at lower pH, consistent with the differential pKa's of histidine and BpyAla. Two peptides containing BpyAla were synthesized and found to bind Ni(2+) with low micromolar dissociation constants. Incorporation of BpyAla and other metal binding amino acids into peptide and protein libraries should enable the evolution of novel binding and catalytic activities.
{"Chemical": ["BpyAla", "histidine", "amino acids", "nitrilotriacetic acid", "disulfide", "amino acid", "Ni(2+)", "bipyridylalanine", "NTA"]}