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:

Structural Insights into 5-HT1A / D4 Selectivity of WAY-100635 Analogues: Molecular Modeling, Synthesis, and in Vitro Binding The resurgence of interest in 5-HT1A receptors as a therapeutic target requires the existence of highly selective 5-HT1A ligands. To date, WAY-100635 has been the prototypical antagonist of these receptors. However, this compound also has significant affinity for and activity at D4 dopamine receptors. In this context, this work was aimed at better understanding the 5-HT1A / D4 selectivity of WAY-100635 and analogues from a structural point of view. In silico investigations revealed two key interactions for the 5-HT1A / D4 selectivity of WAY-100635 and analogues. First, a hydrogen bond only found with the Ser 7.36 of D4 receptor appeared to be the key for a higher D4 affinity for newly synthesized aza analogues. The role of Ser 7.36 was confirmed as the affinity of aza analogues for the mutant D4 receptor S7.36A was reduced. Then, the formation of another hydrogen bond with the conserved Ser 5.42 residue appeared to be also critical for D4 binding.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["binding", "Binding", "mutant", "Insights"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["D4", "WAY-100635", "Analogues", "ligands", "D4 dopamine receptors", "Ser 5.42 residue", "Ser 7.36", "D4 receptor", "5-HT1A receptors", "analogues", "receptors", "prototypical antagonist", "D4 receptor S7.36A", "5-HT1A", "aza"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": [], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Molecular Modeling"], "SpatialConcept": ["Structural", "structural"], "Virus": []}