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Predicting long-term toxic effects using computer models based on systems characterization of organotypic cultures (NOTOX)

Description: Based on the forthcoming ban of animal testing in Europe for cosmetic products and the lack of assessment methods for long-term toxicity testing, we propose an integrated multifaceted experimental and computational platform especially using a systems biology approach. We think that experimental work should focus on the application of cellular systems that come most close to the human in vivo situation while at the same time allowing their transfer into applicable test systems. In these systems viability and physiological toxicity response parameters (-omics) will be monitored together with genetic, epigenetic and structural characteristics in parallel. Large-scale models of pathways and cellular systems will, together with bioinformatic integration of human and across species literature data, lead to reliable toxicity prediction.

Types:
SupportProgram

Origins: /Bund/UBA/UFORDAT

Tags: Computer ? Biopharmazeutikum ? Peptid ? Blei ? Langzeitwirkung ? Elektronenmikroskopie ? Chemische Analyse ? Maus ? Prognose ? Humantoxizität ? Prognosemodell ? Mathematisches Modell ? Bewertungsverfahren ? Protein ? Tierversuch ? Toxikologische Bewertung ? Toxizität ? Zelle ? Zellkultur ? Daten ? Kosmetisches Mittel ? Berechnungsverfahren ? Datenmodell ? Europa ? Vermeidung von Tierversuchen ? Literaturdatenbank ? Organ ? Stoffwechsel ? Tierschutz ? Zusammenarbeit ? Planung ? FP7-HEALTH ? Stoffwechselaktivität ? Dünndarm ? Stoffwechselprodukt ?

Region: Saarland

Bounding boxes: 6.96083° .. 6.96083° x 49.40472° .. 49.40472°

License: cc-by-nc-nd/4.0

Language: Englisch/English

Organisations

Time ranges: 2011-01-01 - 2015-12-31

Resources

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