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:

Design and synthesis of bicyclic pyrazinone and pyrimidinone amides as potent TF-FVIIa inhibitors. Bicyclic pyrazinone and pyrimidinone amides were designed and synthesized as potent TF-FVIIa inhibitors. SAR demonstrated that the S2 and S3 pockets of FVIIa prefer to bind small, lipophilic groups. An X-ray crystal structure of optimized compound 9b bound in the active site of FVIIa showed that the bicyclic scaffold provides 5 hydrogen bonding interactions in addition to projecting groups for interactions within the S1, S2 and S3 pockets. Compound 9b showed excellent FVIIa potency, good selectivity against FIXa, Xa, XIa and chymotrypsin, and good clotting activity.
{"Chemical": ["hydrogen", "bicyclic pyrazinone and pyrimidinone amides", "Bicyclic pyrazinone and pyrimidinone amides"]}