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Jaqpot 5: How to simulate biodistribution scenarios using custom PBPK models

Haralambos Sarimveis


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  <dc:contributor>Haralambos Sarimveis</dc:contributor>
  <dc:contributor>Pantelis Karatzas</dc:contributor>
  <dc:contributor>Philip Doganis</dc:contributor>
  <dc:creator>Haralambos Sarimveis</dc:creator>
  <dc:date>2020-01-16</dc:date>
  <dc:description>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  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.   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,  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.  Jaqpot 5 has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.

 

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 https://app.jaqpot.org/.</dc:description>
  <dc:identifier>https://zenodo.org/record/3610182</dc:identifier>
  <dc:identifier>10.5281/zenodo.3610182</dc:identifier>
  <dc:identifier>oai:zenodo.org:3610182</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/731032/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/731075/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3610181</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/nanocommons</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Machine learning</dc:subject>
  <dc:subject>Biokinetics</dc:subject>
  <dc:subject>ChemInformatics</dc:subject>
  <dc:subject>NanoInformatics</dc:subject>
  <dc:title>Jaqpot 5: How to simulate biodistribution scenarios using custom PBPK models</dc:title>
  <dc:type>info:eu-repo/semantics/technicalDocumentation</dc:type>
  <dc:type>publication-softwaredocumentation</dc:type>
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