Extracting Knowledge from Data to Predict Mitochondrial Toxicity Indexes for Pharmacological Compounds (Poster Presentation)



The toxicity of the drugs on the biological tissue is one of the critical points in the drug development process. To measure such toxicity, the assessment of the perturbation of the mitochondria is one of the techniques that can be used. Using the advances in Machine Learning, this research attempts to create a model that predicts the toxicity levels of pharmacological compounds through clustering and classification algorithms. The results indicate that using these data it is possible to create a model that can detect mitochondrial toxicity, allowing it to separate the control cells from the ones exposed to drugs.


MitoPorto International Symposium, Porto, Portugal, 2017 2017

Cited by

No citations found