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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