QSAR modeling of Tox21 challenge stress response and nuclear receptor signaling toxicity assays

QSAR modeling of Tox21 challenge stress response and nuclear receptor signaling toxicity assays

The ability to determine which environmental chemicals pose the greatest potential threats to human health remains one of the major concerns in regulatory toxicology. Computation methods that can accurately predict the chemicals’ toxic potential in silico are increasingly sought-after to replace in...

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Bibliographic Details
Main Authors: Stephen J Capuzzi, Regina ePoliti, Olexandr eIsayev, Sherif eFarag, Alexander eTropsha
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Environmental Science
Subjects:
endocrine disrupting chemicals
QSAR
deep learning
machine-learning
Tox21
stress response signaling pathways
Online Access:http://journal.frontiersin.org/Journal/10.3389/fenvs.2016.00003/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fenvs.2016.00003/full

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