{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Application Deployment Metadata",
  "description": "Structured metadata for applications, users, and projects deployed on the SciLifeLab Serve platform (https://serve.scilifelab.se/).",
  "dateCreated": "2026-04-12T03:45:29.030268+00:00",
  "creator": {
    "@type": "Organization",
    "name": "SciLifeLab Data Centre",
    "url": "https://www.scilifelab.se/data"
  },
  "hasPart": [
    {
      "@type": "SoftwareApplication",
      "name": "Chemical Biology Atlas",
      "description": "The Chemical Biology Atlas (https://doi.org/10.1101/2025.07.23.666341) is an interactive online platform designed to facilitate the exploration of biological activities, mechanisms of action, and molecular targets associated with chemical compounds. Built on a Neo4j graph database, the Atlas enables intuitive navigation of complex relationships between molecules and biological entities. The current release is based on a harmonized library of 5,230 molecules from the Specs repurposing set, in collaboration with the Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP) and Karolinska Institute (KI). The database is built around publicly available annotations collected using the Chemical Annotator pipeline (https://github.com/REMEDI4ALL/chemical_annotator), ensuring comprehensive and standardized data integration. The Chemical Biology Atlas offers several search capabilities, network analysis, and dynamic visualization, allowing scientists to explore interactions, mechanisms, and repurposing opportunities in chemical biology.",
      "url": "https://chembioatlas.serve.scilifelab.se",
      "softwareVersion": "ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.1.3",
      "author": {
        "@type": "Person",
        "name": "Flavio Ballante",
        "email": "flavio.ballante@ki.se",
        "affiliations": [
          {
            "@type": "Organization",
            "name": "Karolinska Institutet",
            "department": "Department of Medical Biochemistry and Biophysics",
            "identifier": "https://ror.org/056d84691"
          }
        ]
      },
      "applicationCategory": "Cloud Application",
      "operatingSystem": "Kubernetes",
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "appImage",
          "value": "neo4jlabs/neodash:2.4.10"
        },
        {
          "@type": "PropertyValue",
          "name": "appCreated",
          "value": "2025-06-19T09:27:59.539529+00:00"
        },
        {
          "@type": "PropertyValue",
          "name": "appUpdated",
          "value": "2025-07-31T12:37:05.285076+00:00"
        },
        {
          "@type": "PropertyValue",
          "name": "cpuRequest",
          "value": "100m"
        },
        {
          "@type": "PropertyValue",
          "name": "cpuLimit",
          "value": "2000m"
        },
        {
          "@type": "PropertyValue",
          "name": "memoryRequest",
          "value": "1Gi"
        },
        {
          "@type": "PropertyValue",
          "name": "memoryLimit",
          "value": "4Gi"
        },
        {
          "@type": "PropertyValue",
          "name": "storageRequest",
          "value": "100Mi"
        },
        {
          "@type": "PropertyValue",
          "name": "storageLimit",
          "value": "5000Mi"
        }
      ],
      "hasPart": {
        "@type": "SoftwareSourceCode",
        "codeRepository": "https://github.com/REMEDI4ALL/chemical_annotator"
      }
    }
  ],
  "about": {
    "@type": "Project",
    "name": "Chemical Biology Atlas",
    "description": "The Chemical Biology Atlas is an interactive online platform designed to facilitate the exploration of biological activities, mechanisms of action, and molecular targets associated with chemical compounds. Built on a Neo4j graph database, the Atlas enables intuitive navigation of complex relationships between molecules and biological entities. The current release is based on a harmonized library of 5,230 molecules from the Specs repurposing set, in collaboration with the Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP) and Karolinska Institute (KI). The database is built around publicly available annotations collected using the Chemical Annotator pipeline (https://github.com/REMEDI4ALL/chemical_annotator), ensuring comprehensive and standardized data integration. The Chemical Biology Atlas offers several search capabilities, network analysis, and dynamic visualization, allowing scientists to explore interactions, mechanisms, and repurposing opportunities in chemical biology. More details can be found here: https://doi.org/10.1093/database/baaf081",
    "additionalProperty": [
      {
        "@type": "PropertyValue",
        "name": "dateCreated",
        "value": "2025-04-08T07:57:31.216384+00:00"
      },
      {
        "@type": "PropertyValue",
        "name": "minio",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "mlflow",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "vscode",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "dashapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "mongodb",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "reducer",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "rstudio",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "combiner",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "shinyapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "customapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "netpolicy",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "volumeK8s",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "tissuumaps",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "filemanager",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "jupyter-lab",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "mlflow-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "python-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "mongo-express",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "pytorch-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "shinyproxyapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "tensorflow-serve",
        "value": "10"
      }
    ],
    "funder": {
      "@type": "Person",
      "name": "Flavio Ballante",
      "email": "flavio.ballante@ki.se"
    },
    "parentOrganization": {
      "@type": "Organization",
      "name": "Karolinska Institutet",
      "additionalProperty": {
        "@type": "PropertyValue",
        "name": "department",
        "value": "Department of Medical Biochemistry and Biophysics"
      }
    }
  }
}