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Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase.
Paul Harten1, Henry Helgen2, Wilson Melendez3
1Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, AWBERC MS 483, 26 West Martin Luther King Drive, Cincinnati, OH 45268, USA.
This study uses the nanomaterial database NaKnowBase (NKB) to predict engineered nanomaterial (ENM) safety. Quantitative structure activity relationship (QSAR) analysis helps assess in vitro cell viability effects, aiding environmental health and safety investigations.
Area of Science:
- Environmental science
- Toxicology
- Materials science
Background:
- Engineered nanomaterials (ENMs) present growing safety concerns in manufacturing and use.
- Empirical studies on ENM environmental health and safety (EHS) effects are challenging and resource-intensive.
- The US EPA's NaKnowBase (NKB) database compiles experimental nanoEHS assay data.
Purpose of the Study:
- To develop predictive models for ENM in vitro cell viability effects.
- To leverage the NaKnowBase (NKB) for quantitative structure activity relationship (QSAR) analysis.
- To facilitate global collaboration in nanoEHS research through shared data and predictive tools.
Main Methods:
- Mining, refining, and analyzing data from the NaKnowBase (NKB).
- Employing quantitative structure activity relationship (QSAR) analysis with a random forest of decision trees.
- Validating predictions using the Jaqpot cloud platform for collaborative nanoEHS investigations.
Main Results:
- Successful application of QSAR to predict in vitro cell viability effects of ENMs based on composition and structure.
- Demonstrated utility of the NaKnowBase (NKB) for predictive modeling in nanoEHS.
- Confirmed predictive accuracy through the Jaqpot platform, enabling global research collaboration.
Conclusions:
- QSAR analysis of the NaKnowBase (NKB) provides a viable approach to predict ENM safety.
- Predictive modeling can significantly reduce the need for extensive empirical testing in nanoEHS.
- The Jaqpot platform enhances global collaboration and data sharing for ENM safety research.
