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: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

Fragment -Based Discovery of 5-Arylisatin -Based Inhibitors of Matrix Metalloproteinases 2 and 13 Matrix metalloproteinases (MMPs) are well-established targets for several pathologies. In particular, MMP-2 and MMP-13 play a prominent role in cancer progression. In this study, a structure-based screening campaign was applied to prioritize metalloproteinase -oriented fragments. This computational model was applied to a representative fragment set from the publically available EDASA Scientific compound library. These fragments were prioritized, and the top-ranking hits were tested in a biological assay to validate the model. Two scaffolds showed consistent activity in the assay, and the isatin-based compounds were the most interesting. These latter fragments have significant potential as tools for the design and realization of novel MMP inhibitors. In addition to their micromolar activity, the chemical synthesis affords flexible and creative access to their analogues.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["cancer progression", "pathologies"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["MMP-13", "isatin-based compounds", "Matrix Metalloproteinases 2", "Inhibitors", "MMP-2", "13", "Fragment", "metalloproteinase", "fragments", "MMP inhibitors", "analogues", "MMPs", "fragment", "5-Arylisatin", "Matrix metalloproteinases", "scaffolds"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": [], "Food": [], "HealthCareActivity": ["biological assay", "assay", "structure-based screening"], "InjuryOrPoisoning": [], "IntellectualProduct": ["EDASA Scientific compound library"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["validate", "study"], "SpatialConcept": ["creative access"], "Virus": []}