Author:                LaVerne Poussaint

 

Developers:       LaVerne Poussaint, Snape

 

Contact:              poussaint [at] deepmed.net, cybrary [at] deepmed.net

 

Abstract:

Currently designed as an alpha phase SciVerse Hub plug-in component and awaiting approval as an  Elsevier Apps for Sci Challenge submission, nanoTOX MDD™ is a model-driven discovery implement devised to propel new paradigms in nanotoxicological investigations. The app employs a “less with finesse” approach to in silico query through customized filtering factors delimited by 10 hybrid and hierarchical modelling approaches and techniques.

 

Key Terms:         computational nanotoxicology, model-driven discovery, in silico, nanoinformatics

 

 

 

 

 

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