What is it about?
In this study, the causation inference method within structure-activity relationship modeling for nanomaterials was introduced to elucidate underlying structure of the nanotoxicity data. To describe the nanoparticles, the simple geometric, fragmental and “liquid drop model” based descriptors that represent the nanoparticles’ structure and characteristics were applied.
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Why is it important?
This study offer a novel method to confirm the non-causational nature of nano-QSAR models.
Perspectives
A first time for nano-QSAR models the causal inference method is introduced, to confirm the non-causational nature of models developed.
Professor Bakhtiyor Rasulev
North Dakota State University
Read the Original
This page is a summary of: Causal inference methods to assist in mechanistic interpretation of classification nano-SAR models, RSC Advances, January 2015, Royal Society of Chemistry,
DOI: 10.1039/c5ra11399g.
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