Development of Quantitative Structure-Activity Relationship for Prediction of Biological Effects of Nanoparticles Associated with Semiconductor Indust Development of Quantitative Structure-Activity Relationship for Prediction of Biological Effects of Nanoparticles Associated with Semiconductor Indust The global project goal is to develop a prototype computational toxicity model using computational quantum chemical methods and modern data mining techniques such as linear and non-linear methods, neural networks, and probabilistic methods. The ASU component is to deliver a rapid and robust toxicity assay that can be performed in hours and serves critical information about the biological effect to Quantitative Structure-Activity Relationships (QSARs) modeling efforts. The value of the proposed approach is to predict the toxic effects and fate of both currently conceived (QD, CNT, Si nanowires) as well as future MNMs that will be used in the semiconductor industry. The long term goal is to better understand the potential adverse effects of MNMs to prior to their commercialization and to allow semiconductor industries to have better position in the potential commercial submissions of MNMs for Federal approval.
|Effective start/end date||4/1/09 → 12/31/11|
- SRCCO Inc.: $97,502.00
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