{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Antony Williams", "hasEmail": "mailto:williams.antony@epa.gov"}, "description": "Supporting information for \"Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity\". \n\nThis dataset is associated with the following publication:\nCharest, N., G. Sinclair, S. Eytcheson, D. Chang, T. Martin, C. Lowe, K. Friedman, and A. Williams. Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 65(9): 4426-4441, (2025).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_001.pdf", "mediaType": "application/pdf", "title": "ci5c00713_si_001.pdf"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_002.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "ci5c00713_si_002.xlsx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_003.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "ci5c00713_si_003.xlsx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_004.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "ci5c00713_si_004.xlsx"}], "identifier": "https://doi.org/10.23719/d-8fr8", "keyword": ["Assays", "Bioinformatics and computational biology", "Mathematical methods", "Theoretical models", "molecular modeling"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2025-04-15", "programCode": ["020:000"], "publisher": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}, "references": ["https://doi.org/10.1021/acs.jcim.5c00713"], "rights": null, "title": "Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity"}