Abstract
SUMMARY: Xpaths is a collection of algorithms that allow for the prediction of compound-induced molecular mechanisms of action by integrating phenotypic endpoints of different species; and proposes follow-up tests for model organisms to validate these pathway predictions. The Xpaths algorithms are applied to predict developmental and reproductive toxicity (DART) and implemented into an in silico platform, called DARTpaths.
AVAILABILITY AND IMPLEMENTATION: All code is available on GitHub https://github.com/Xpaths/dartpaths-app under Apache license 2.0, detailed overview with demo is available at https://www.vivaltes.com/dartpaths/.
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Original language | English |
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Article number | btac767 |
Pages (from-to) | 1-3 |
Number of pages | 3 |
Journal | Bioinformatics |
Volume | 39 |
Issue number | 1 |
Early online date | 8 Dec 2022 |
DOIs | |
Publication status | Published - 1 Jan 2023 |