NDLI: Predictive modeling of nanomaterial biological effects

Content Provider	IEEE Xplore Digital Library
Author	Xiong Liu Tang, K. Harper, S. Harper, B. Steevens, J.A. Xu, R.
Copyright Year	2012
Description	Author affiliation: Department of Environmental & Molecular Toxicology, Oregon State University, Corvallis, OR, USA (Harper, S.; Harper, B.) \|\| ERDC Environmental Laboratory, Vicksburg, MS, USA (Steevens, J.A.) \|\| Intelligent Automation, Inc., Rockville, MD, USA (Xiong Liu; Tang, K.; Xu, R.)
Abstract	Nanomaterial environmental impact (NEI) modeling is critical for industry and policymakers to assess the unintended biological effects (e.g. mortality, malformation, growth inhibition) resulting from the application of engineered nanomaterials. The scope of NEI modeling covers nanomaterial physical, chemical and manufacturing properties, exposure and study scenarios, environmental and ecosystem responses, biological responses, and their interactions. In this paper, we introduce a data mining approach to modeling the biological effects of nanomaterials. Data mining techniques can assist analysts in developing risk assessment models for nanomaterials. Using an experimental dataset on the toxicity of nanomaterials to embryonic zebrafish, we conducted case studies on modeling the overall effect/impact of nanomaterials and the specific toxic end-points such as mortality, delayed development, and morpholigcal malformations and behavioral abnormalities. The results show that different biological effects have different modeling accuracy given the same set of algorithms and data. The results also show that the weighting scheme for different biological effects has a significant influence on modeling the overall biological effect. These results provide insights into the understanding and modeling of nanomaterial biological effects.
Starting Page	859
Ending Page	863
File Size	1727951
Page Count	5
File Format	PDF
ISBN	9781467327466
e-ISBN	9781467327473
e-ISBN	9781467327442
DOI	10.1109/BIBMW.2012.6470254
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement toxicity nanomaterial biological effects modeling Biological system modeling Nanoinformatics data mining Predictive models Nanomaterials Prediction algorithms Data models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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