Combining QSAR modeling and text-mining techniques to link chemical structures and carcinogenic modes of action
There is an increasing need for new reliable non-animal based methods to predict and test toxicity of chemicals. QSAR, a computer-based method linking chemical structures with biological activities, is used in predictive toxicology. In this study we tested the approach to combine QSAR data with lite...
Main Authors: | Georgios Papamokos, Ilona Silins |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2016-08-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fphar.2016.00284/full |
Similar Items
-
Evaluation of carcinogenic modes of action for pesticides in fruit on the Swedish market using a text-mining tool
by: Ilona eSilins, et al.
Published: (2014-06-01) -
Analysis of the co-evolutions of correlations as a tool for QSAR-modeling of carcinogenicity: an unexpected good prediction based on a model that seems untrustworthy
by: Toropova Alla, et al.
Published: (2011-02-01) -
Oxidative Stress in the Carcinogenicity of Chemical Carcinogens
by: Hideki Wanibuchi, et al.
Published: (2013-10-01) -
Additive SMILES-Based Carcinogenicity Models: Probabilistic Principles in the Search for Robust Predictions
by: Emilio Benfenati, et al.
Published: (2009-07-01) -
Effect of separated chemical carcinogen treatments in vitro
by: Warren, Peggy Margaret
Published: (2010)