January 16, 2020 Software documentation Open Access

Haralambos Sarimveis

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3610182", 
  "author": [
    {
      "family": "Haralambos Sarimveis"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        1, 
        16
      ]
    ]
  }, 
  "abstract": "<p>Jaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI&nbsp; directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis.&nbsp;&nbsp; The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5,&nbsp; by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models.&nbsp; Jaqpot 5 has been developed by the <a href=\"https://www.chemeng.ntua.gr/labs/control_lab/index.html\">Unit of Process Control and Informatics</a> in the School of Chemical Engineering at the National Technical University of Athens.</p>\n\n<p>&nbsp;</p>\n\n<p>This document provides a tutorial for simulating biodistribution scenarios using custom PBPK models that have been deployed on Jaqpot5. The resource has been made available at <a href=\"https://app.jaqpot.org/\">https://app.jaqpot.org/</a>.</p>", 
  "title": "Jaqpot 5: How to simulate biodistribution scenarios using custom PBPK models", 
  "type": "article", 
  "id": "3610182"
}