Host: The Japanese Society of Toxicology
With the remarkable progress in computing resources and machine learning methodologies in recent years, expectations for the development of computational toxicology tools have increased further. The expected contributions of these tools to drug safety research include prediction of toxicity (on-target toxicity/off-target toxicity), elucidation of toxicity mechanisms, and improvement of the accuracy of toxicity assessment.
In this presentation, I would like to introduce the Open-Access Computational Toxicology Tools that we have established and discuss the issues that have been identified through these researches.
Acknowledgment
These researches are supported by AMED under Grant Number 19nk0101103h0005 and 21nk0101111h0102.
