DARTpaths, an in silico platform to investigate molecular mechanisms of compounds

Diksha Bhalla, Marvin N Steijaert, Eefje S Poppelaars, Marc Teunis, Monique van der Voet, Marie Corradi, Elisabeth Dévière, Luke Noothout, Wilco Tomassen, Martijn Rooseboom, Richard A Currie, Cyrille Krul, Raymond Pieters, Vera van Noort*, Marjolein Wildwater*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Article numberbtac767
Pages (from-to)1-3
Number of pages3
JournalBioinformatics
Volume39
Issue number1
Early online date8 Dec 2022
DOIs
Publication statusPublished - 1 Jan 2023

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