Your browser doesn't support javascript.
loading
DARTpaths, an in silico platform to investigate molecular mechanisms of compounds.
Bhalla, Diksha; Steijaert, Marvin N; Poppelaars, Eefje S; Teunis, Marc; van der Voet, Monique; Corradi, Marie; Dévière, Elisabeth; Noothout, Luke; Tomassen, Wilco; Rooseboom, Martijn; Currie, Richard A; Krul, Cyrille; Pieters, Raymond; van Noort, Vera; Wildwater, Marjolein.
Afiliación
  • Bhalla D; Centre of Microbial and Plant Genetics, Faculty of Bioscience Engineering, KU Leuven, Leuven 3001, Belgium.
  • Steijaert MN; Open Analytics, Antwerp 2600, Belgium.
  • Poppelaars ES; Vivaltes, Bunnik 3981 LA, The Netherlands.
  • Teunis M; Innovative Testing in Life Sciences & Chemistry, Utrecht University of Applied Sciences, Utrecht 3584 CH, The Netherlands.
  • van der Voet M; Vivaltes, Bunnik 3981 LA, The Netherlands.
  • Corradi M; Innovative Testing in Life Sciences & Chemistry, Utrecht University of Applied Sciences, Utrecht 3584 CH, The Netherlands.
  • Dévière E; Open Analytics, Antwerp 2600, Belgium.
  • Noothout L; CLEVER FRANKE, Utrecht 3512 CC, The Netherlands.
  • Tomassen W; CLEVER FRANKE, Utrecht 3512 CC, The Netherlands.
  • Rooseboom M; Toxicology Group, Shell Global Solutions International B.V., The Hague 2596 HR, the Netherlands.
  • Currie RA; Predictive and Computational Toxicology, Syngenta, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK.
  • Krul C; Innovative Testing in Life Sciences & Chemistry, Utrecht University of Applied Sciences, Utrecht 3584 CH, The Netherlands.
  • Pieters R; Innovative Testing in Life Sciences & Chemistry, Utrecht University of Applied Sciences, Utrecht 3584 CH, The Netherlands.
  • van Noort V; Utrecht University, Institute for Risk Assessment Sciences, Utrecht 3584 CM, The Netherlands.
  • Wildwater M; Centre of Microbial and Plant Genetics, Faculty of Bioscience Engineering, KU Leuven, Leuven 3001, Belgium.
Bioinformatics ; 39(1)2023 01 01.
Article en En | MEDLINE | ID: mdl-36477801
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Bélgica