Skip to main content
Contact Info
Akyianu Gyamfi
OpenTox Intern

I am currently pursuing my master's degree in toxicology at the University of Potsdam, Germany. I am passionate about computational toxicology, specifically predictive toxicology. My research thesis at the German Federal Institute for Risk Assessment (BfR) is titled “In silico insight: exploring prediction tools on oestrogen receptor
activity for endocrine disruption assessment of pesticides.” I obtained a bachelor's degree in Pharmacy at the University of Ghana and work on the thesis “Pharmacognostic evaluation (standardisation) and antioxidant effect of the leaves and seeds of Colanitida”. The OpenTox internship provided me with my first step in the
journey into computational toxicology.

OpenTox Virtual Conference 2023 

Collection of Toxicology software to support user access and utilisation

The use of in silico tools (toxicological software) has increased in recent times as they provide cheap and fast tools to detect hazard. It has gained increasing importance for research and aims to decrease the use of animal experiment as suggested by the 3Rs principle. Having the right software for a specific endpoint can be time-consuming. The aim for this project was to create an OpenTox database and inventory where users can easily have access to available toxicology software, basic features about the software, and also models relevant in terms of regulatory applications. The database provides details concerning:

  • Name of Software
  • Link to the software download website
  • Description
  • Type of Software
  • Input format
  • Methodology
  • Availability
  • QMRF
  • QMRF title
  • Defined endpoint
  • Unambiguous algorithm
  • Applicability domain
  • Goodness of fit and robustness
  • Mechanistic Interpretation