دورية أكاديمية

Dataset of in vitro measured chemicals neurotoxicity

التفاصيل البيبلوغرافية
العنوان: Dataset of in vitro measured chemicals neurotoxicity
المؤلفون: Seweryn Ulaszek, Bartek Lisowski, Sebastian Polak
المصدر: Data in Brief, Vol 54, Iss , Pp 110380- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Science (General)
مصطلحات موضوعية: Computational toxicology, Toxicology, Neurotoxicity, 3rs, Animal-free, In silico, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
الوصف: To understand and describe neurotoxicity mechanistically, we must first understand the processes and responses that occur within neuronal cell systems after the administration of a chemical. The dataset we present is a collection of experimental results from the literature that comprises various neurotoxic endpoints in human-derived in vitro models, allowing for easy data analysis. Currently available and free databases such as the EPA's ToxCast, which focuses on forecasting toxic health risks, are created by collecting reports on cytotoxicity testing and creating mathematical fits that could help predict the effects of a given chemical on various types of cells. We, in contrast, provide a smaller, raw, and heterogeneous dataset created solely of results on human-derived cell models that not only summarises the cytotoxic effects of certain substances but also creates a possibility for analysing the significance of the experimental set-up for the prediction of outcome.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-3409
Relation: http://www.sciencedirect.com/science/article/pii/S2352340924003494; https://doaj.org/toc/2352-3409
DOI: 10.1016/j.dib.2024.110380
URL الوصول: https://doaj.org/article/7fcf2f4a44064b01acfc0202907adf5f
رقم الأكسشن: edsdoj.7fcf2f4a44064b01acfc0202907adf5f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23523409
DOI:10.1016/j.dib.2024.110380