Structure-activity relationships for metabolism and toxicity

Predict in advance which compounds will be toxic in humans or not is a real challenge in the pharmaceutical world. Indeed, the mechanisms responsible for toxicity are not always well known, and in some case a compound become toxic only after it has been metabolized. We propose here a novel approach using condensed graphs of reactions to model and predict the metabolic fate of xenobiotics in the human body. Various forms of toxicity are also predicted : mutagenicity and hepatotoxicity. For this second toxicity, the approach proposed is the first to our knowledge to successfully predict the toxic molecules described by data other than resulting from observations in vivo.

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Source https://theses.hal.science/tel-00834868
Author Muller, Christophe
Maintainer CCSD
Last Updated May 10, 2026, 16:53 (UTC)
Created May 10, 2026, 16:53 (UTC)
Identifier NNT: 2013STRAF004
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Chimie de Strasbourg (IC) ; Université de Strasbourg (UNISTRA)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)
creator Muller, Christophe
date 2013-01-24T00:00:00
harvest_object_id 0db356fc-8b5f-4395-b755-2e733e206311
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE