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:

5-Bromo-2-aryl benzimidazole derivatives as non-cytotoxic potential dual inhibitors of α-glucosidase and urease enzymes On the basis of previous report on promising α-glucosidase inhibitory activity of 5-bromo-2-aryl benzimidazole derivatives, these derivatives were further screened for urease inhibitory and cytotoxicity activity in order to get more potent and non-cytotoxic potential dual inhibitor for the patients suffering from diabetes as well as peptic ulcer. In this study, all compounds showed varying degree of potency in the range of (IC50 =8.15±0.03-354.67±0.19μM) as compared to standard thiourea (IC50 =21.25±0.15μM). It is worth mentioning that derivatives 7 (IC50 =12.07±0.05μM), 8 (IC50 =10.57±0.12μM), 11 (IC50 =13.76±0.02μM), 14 (IC50 =15.70±0.12μM) and 22 (IC50 =8.15±0.03μM) were found to be more potent inhibitors than standard. All compounds were also evaluated for cytotoxicity towards 3T3 mouse fibroblast cell line and found to be completely non-toxic. Previously benzimidazole 1-25 were also showed α-glucosidase inhibitory potential. In silico studies were performed on the lead molecules i.e. 2, 7, 8, 11, 14, and 22, in order to rationalize the binding interaction of compounds with the active site of urease enzyme.
{"AnatomicalStructure": ["mouse fibroblast cell line", "3T3"], "Bacterium": [], "BiologicFunction": ["inhibitory", "inhibitory activity", "binding interaction", "peptic ulcer", "inhibitory potential", "diabetes"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["benzimidazole 1-25", "22", "inhibitors", "8", "urease", "urease enzymes", "derivatives 7", "non-cytotoxic", "14", "inhibitor", "compounds", "11", "2", "\u03b1-glucosidase", "thiourea", "urease enzyme", "lead molecules", "5-bromo-2-aryl benzimidazole derivatives", "potent inhibitors", "5-Bromo-2-aryl benzimidazole derivatives", "7"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["non-toxic"], "Food": [], "HealthCareActivity": ["cytotoxicity activity", "screened", "cytotoxicity"], "InjuryOrPoisoning": [], "IntellectualProduct": ["report"], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["studies", "study"], "SpatialConcept": [], "Virus": []}